Research Publications

@article{709,

title = {CoCu2O4 Modified Electrodes via Facile Synthesis for Ultrasensitive Dopamine Detection in Physiological Conditions},

author = {C. S. C. Kumar and M. N. Ramachandra and K. S. M. Lohith and N. Padmavathy and P. Sumesh and S. Chandraju},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0013468625022492?via%3Dihub},

doi = {10.1016/j.electacta.2025.147892},

isbn = {00134686 (ISSN)},

year  = {2026},

date = {2026-01-01},

journal = {Electrochimica Acta},

volume = {548},

publisher = {Elsevier Ltd},

abstract = {In this study, we modified a glassy carbon electrode (GCE) with CoCu<inf>2</inf>O<inf>4</inf> nanoparticles (NPs) to create an electrochemical sensor designed for the sensitive and selective detection of dopamine (DA). The CoCu<inf>2</inf>O<inf>4</inf> NPs were synthesized using a solution combustion method, producing porous, loosely packed nanostructures that provide abundant active sites for electrochemical reactions. PXRD coupled with Rietveld refinement confirmed the formation of a single-phase spinel, with a lattice constant of 8.386 Å and an average crystallite size of 18.58 nm. Examination of the surface morphology using SEM revealed porous, agglomerated features, while EDX verified a near-stoichiometric distribution of cobalt, copper, and oxygen within the material. The modified electrode, optimized with a 5 mg CoCu<inf>2</inf>O<inf>4</inf> coating, exhibited a 75 % enhancement in electrochemical response relative to the bare GCE. Operating at physiological pH 7.0, the CoCu<inf>2</inf>O<inf>4</inf> modified GCE exhibited a well-defined redox signal with a linear relationship between DA concentration and current response over 1–8 µM ( R 2 = 0.998). The limit of detection (LOD) was 0.029 ± 0.002 µM, and the limit of quantification (LOQ) was 0.49 ± 0.03 µM, highlighting the sensor’s high sensitivity. Stability assessments indicated 92 % retention of the initial response after one week, and repeatability was confirmed with a relative standard deviation (RSD) of 3.0 %. These findings establish the CoCu<inf>2</inf>O<inf>4</inf> modified GCE as a reliable platform for precise DA quantification, suitable for biomedical and analytical applications.},

note = {0},

keywords = {CHEM},

pubstate = {published},

tppubtype = {article}

}

@article{685,

title = {Panorama of hydrothermal synthesis towards profound electrochromism of tungsten oxide nanostructures: a review},

author = {J. Gupta and V. K. Gupta},

url = {https://link.springer.com/article/10.1007/s11243-025-00700-3},

doi = {10.1007/s11243-025-00700-3},

isbn = {03404285 (ISSN); 1572901X (ISSN)},

year  = {2026},

date = {2026-01-01},

journal = {Transition Metal Chemistry},

volume = {51},

publisher = {Springer Science and Business Media Deutschland GmbH},

abstract = {Tungsten trioxide-(WO<inf>3</inf>) is one of the utmost appropriate inorganic electrochromic materials. WO<inf>3</inf> nanostructures are becoming increasingly prevalent in a diverse array of electrochromic (EC) device applications, as it offers substantially larger active response area, which leads to an increase in colour contrast, according to research. The novel technique of powder synthesis and material preparation has gained interest as materials science advances. Recently, the hydrothermal approach has emerged as a viable liquid phase preparation methodology as it provides several benefits. In this view it becomes essential to deepen the understanding of hydrothermal synthesis towards carving WO<inf>3</inf> nanostructures to foster electrochromic state-of-the-art. In this review analysis of hydrothermal synthesis towards sculpturing various WO<inf>3</inf> nanostructures such as nanowire, nanotubes, nanoflower, Nano tree etc. for modest electrochromism has been portrayed. Moreover, practicality in role of various hydrothermally synthesized WO<inf>3</inf> nanostructures for different applications has also been discussed.},

note = {0},

keywords = {EEE},

pubstate = {published},

tppubtype = {article}

}

@article{669,

title = {Carbon quantum dots: An overview of their synthesis from natural plant sources, and their potential use as antimicrobial agents},

author = {M. R. Malini and B. K. Devendra and H. R. Panchami and N. Kottam and B. S. Krishna},

url = {https://www.sciencedirect.com/science/article/pii/S0379677925001535?via%3Dihub},

doi = {10.1016/j.synthmet.2025.117977},

isbn = {03796779 (ISSN)},

year  = {2026},

date = {2026-01-01},

journal = {Synthetic Metals},

volume = {316},

publisher = {Elsevier Ltd},

abstract = {The serendipitous discovery of carbon quantum dots (CQDs), while purifying electrophoretically, single-walled carbon nanotubes (SWNTs) obtained from the soot of an arc-discharge, ignited a global interest in these carbon nanoparticles, due to their potential uses in a broad spectrum of studies like drug delivery, fluorescence, and catalysis. Their low toxicity and high stability endow them with potential medical uses, which hints at the need for CQDs in large quantities. Thus, a sustainable synthesis of CQDs has to be worked out to ensure the minimum use of energy and toxic chemical substances. A ‘top-down’ route to their synthesis involves the disintegration of relatively larger carbon structures like carbon nanotubes, nanodiamonds, and graphite, using energy-intensive processes, such as photoablation, arc discharge, and electrochemical techniques. An alternative to this is a ‘bottom-up’ method, which minimizes energy's utility, and can be achieved through the green synthesis of CQDs, from various plant sources, like herbs and the nightshades (family Solanaceae). Some of these naturally-derived CQDS have exhibited striking antimicrobial activity and cytotoxicity, which makes them potentially useful in therapeutics for bacterial infections and carcinomas. This review aims to discuss the synthesis and applications of such CQDs derived from herbal medicine (HM-CDs).},

note = {0},

keywords = {CHEM},

pubstate = {published},

tppubtype = {article}

}

@article{668,

title = {Microstructure Study and Optimization of Hardness and Tensile Strength of AW2024/B4Cp Reinforced Composites Through Linear Regression},

author = {L. Bharath and J. Jayappa},

url = {https://macs.semnan.ac.ir/article_9667.html},

doi = {10.22075/macs.2025.36248.1781},

isbn = {24234826 (ISSN); 24237043 (ISSN)},

year  = {2026},

date = {2026-01-01},

journal = {Mechanics of Advanced Composite Structures},

volume = {13},

pages = {83-96,},

publisher = {Semnan University, Faculty of Mechanical Engineering},

abstract = {The current research is focused on the production of AW2024/B<inf>4</inf>C metal reinforced composite by using the liquid stir casting method. Ceramic particles armored composites are mainly used in engineering applications, which include aircraft, automotive, and marine fields. AW2024/B<inf>4</inf>C composites are produced by changing wt.% of B4Cp as 1.00%, 3.00% and 5.00%. The produced AW2024/B<inf>4</inf>C composites are machined as per ASTM E8-16a, IS1500, and IS7739 standard test size and subjected to artificial ageing. The hardness and tensile strength of AW2024/B<inf>4</inf>C composites were measured through a Brinell hardness tester and a universal testing machine, respectively. The microstructure of the prepared composite material was examined to determine the uniform distribution of reinforcement material. The highest hardness and tensile strength of AW2024/B<inf>4</inf>C composites were measured and found to be 84.97 BHN and 273.82 N/mm2 for AW2024/5%B<inf>4</inf>C with 5 hrs. ageing duration. The results achieved reveal that both hardness as well as tensile strength increased by increasing the weight percentage of B<inf>4</inf>C content. L<inf>9</inf> standard orthogonal display was espoused to investigate the best parameter and also to authenticate the experimental test results. Further, a fracture study was done through SEM images to determine the mode of fracture.},

note = {0},

keywords = {MECH},

pubstate = {published},

tppubtype = {article}

}

@article{622,

title = {Experimental and machine learning evaluation of a solar PVT system with water and Al2O3 nanofluids for improved electrical and thermal efficiency},

author = {B. Srimanickam and Vandhana Devi and K. Muralidharan and P. Sarasu and S. Srividhya and K. Elangovan and R. Krishnamoorthy},

url = {https://link.springer.com/article/10.1007/s10973-025-14589-8},

doi = {10.1007/s10973-025-14589-8},

isbn = {1588-2926},

year  = {2025},

date = {2025-08-01},

abstract = {This study addresses the need for efficient and sustainable energy systems by investigating a solar photovoltaic-thermal (PVT) hybrid system for simultaneous electricity generation and hot water production, an approach crucial for residential applications in solar-rich regions. The novelty lies in combining experimental analysis with machine learning (ML) techniques to enhance and predict the system s performance, particularly using an Al2O3 nanofluid coolant, which has been rarely explored in prior literature. Experiments were conducted in Chennai, India, across winter months (December February) under varying flow rates (0.5 2.0 LPM) and two coolant types: water and a 0.1% vol. Al2O3 nanofluid. Key performance indicators, such as electrical efficiency, surface and tedlar temperatures, thermal output, and environmental conditions, were measured. To model and predict system behavior, four ML algorithms (Linear Regression, Random Forest, XGBoost, AdaBoost) were trained and evaluated using R2, mean absolute error (MAE), and root mean square error (RMSE). The XGBoost model outperformed others, achieving an R2 of 0.9726, MAE of 0.2411, and RMSE of 0.5437. Experimentally, the use of Al2O3 nanofluid improved electrical efficiency by up to 12.4% and thermal output by 18.7% compared to water. These findings demonstrate that integrating nanofluids and ML-based predictive analytics can significantly boost the efficiency of PVT systems, making them a viable option for sustainable domestic energy solutions in climates similar to that of Chennai.},

keywords = {MECH},

pubstate = {published},

tppubtype = {article}

}

@article{606,

title = {A Random Graph Diffusion Attention Network with Great Wall Construction and Clinical Metadata for Improved Kidney Cancer Diagnosis and Surgical Planning},

author = {Syed Faisal and Elangovan Muniyandy and S. Lokesh and M. Jayanthi},

url = {https://link.springer.com/article/10.1007/s44174-025-00447-6},

doi = {10.1007/s44174-025-00447-6},

isbn = {2731-4820},

year  = {2025},

date = {2025-08-01},

abstract = {Kidney cancer develops through abnormal cell multiplication within the renal cortex or pelvis and often results from smoking combined with obesity and hypertension as well as genetic predisposition. The condition produces three main signs: hematuria, flank pain and weight loss. Current deep learning detection algorithms show low accuracy and high error rates. The Random Graph Diffusion Attention Network with Great Wall Construction (RGDAN-GWCA) method aims to enhance detection accuracy and optimize classification performance for solving this issue. This study uses RGDAN-GWCA to detect and Surgical Planning the kidney cancer. This proposed approach integrates CT images with clinical data for its operation. The proposed method adopts KiTS21 because it represents a standalone dataset. The proposed method solves major diagnostic obstacles for kidney cancer through advanced image preprocessing methods and extraction techniques and classification algorithms. The analysis of CT images occurred with Gradient Domain Guided Filtering (GDGF) and the Spike-driven transformer method implemented metadata refinements. The method Inverse Z-transform and Wiener Hopf Factorization (InZ-Tr-WHF) for CT image feature extraction with Min Max Normalization processing of clinical metadata. The RGDAN-GWCA system used a Great Wall Construction Algorithm to combine and analyze extracted features for performing accurate patient classification. This proposed methodology delivers outstanding results for all performance measurement criteria which include 99.65% accuracy along with 99.61% precision, 99.63% recall, 99.56% specificity and 99.62% F1-score. Clinical assessment of tumor volume alongside cancer stage established themselves as the key medical indicators used by surgeons for making treatment decisions. The surgical planning method shows remarkable promise to assist doctors in deciding appropriate nephrectomy treatments for patients dealing with kidney cancer.},

keywords = {CSE},

pubstate = {published},

tppubtype = {article}

}

@article{616,

title = {Stabilizing mechanisms in couple-stress porous media: roles of throughflow and gravity variation},

author = {Y. Gangadharaiah and V. Mamatha and N. Manjunatha and H. Nagarathnamma and S. Suma},

url = {https://link.springer.com/article/10.1007/s41939-025-00990-1},

doi = {10.1007/s41939-025-00990-1},

isbn = {2520-8179},

year  = {2025},

date = {2025-07-01},

volume = {8},

pages = {395+},

abstract = {This study examines the stability mechanism for couple-stress porous layer under the combined influence of throughflow and variable gravity. We analyse the onset of convective instability under the interactive influence of vertical throughflow and time-varying variable gravity, considering three distinct gravitational profiles: linear, parabolic, and exponential. Employing linear stability theory, the critical Rayleigh number is established with eigenvalue equations solved via dual methodologies: An analytical approach based on the regular perturbation technique, using the wave number as the perturbation parameter. and a numerical Galerkin approach. Both methods exhibit exceptional agreement, underscoring the robustness of the findings. A key contribution of this work is the comparative analysis of different gravity profiles, revealing that the exponential variation provides the strongest stabilizing effect, while the parabolic variation is the least effective. Furthermore, the study identifies a symmetric dependence of the critical Rayleigh number on the throughflow parameter, indicating that stability is governed by the magnitude of throughflow rather than its direction. In addition, a detailed analysis of vertical seepage velocity eigenfunctions highlights that advective transport is enhanced by increasing throughflow intensity and couple-stress effects. These findings offer insights into controlling convective instabilities in porous media applications such as geothermal energy extraction and oil recovery.},

keywords = {MATH},

pubstate = {published},

tppubtype = {article}

}

@article{392,

title = {Convergence of improved particle swarm optimization based ensemble model and explainable AI for the accurate detection of food adulteration in red chilli powder},

author = {Guru M.S. and Naveen H.N. and Amith Jain and Javed Syed and Rahmath Baig},

url = {https://www.sciencedirect.com/science/article/pii/S0889157525003928},

doi = {10.1016/j.jfca.2025.107577},

isbn = {0889-1575},

year  = {2025},

date = {2025-07-01},

journal = {Journal of Food Composition and Analysis},

volume = {143},

pages = {107577+},

publisher = {Elsevier},

abstract = {Food adulteration involves the practice of adding or mixing inferior substances to food products, which undermines quality and safety. Adulteration of red chilli with brick powder is a significant food safety issue as it poses serious health risks to consumers. Accurate identification of the adulteration presents a significant challenge, particularly when adulteration is present in minuscule amounts. Existing methods aimed at identifying such micro levels of food adulteration are less accurate and lack interpretability. This study aims to address the research gaps in food adulteration by developing a robust model that integrates machine learning and explainable artificial intelligence methods. The key contributions of the proposed work are a deep convolutional generative adversarial network to enhance the model performance in limited data scenarios; improved particle swarm optimization as a promising metaheuristic optimization method to select the robust and highly discriminative features and to address premature convergence; explainable artificial intelligence methods (SHAP and LIME) to enhance the ensemble stacking model transparency and interpretability. A custom dataset is generated in the work, and it comprises 250 natural samples distributed among 5 categories (50 samples per category), ranging from no adulteration to adulteration in varying concentrations of 1 %, 2 %, 3 %, and 4 %, respectively. The proposed work is implemented on the synthetic data (200 samples per category) generated by the deep convolutional generative adversarial network. The potent combination of improved particle swarm optimization and explainable artificial intelligence enhances the accuracy, interpretability, and transparency of the proposed model by providing deeper insights which in turn bolsters confidence in distinguishing between pure and adulterated red chilli powder samples, thus contributing to improved food safety measures. The proposed model has shown a remarkable accuracy of 92.42 % on the synthetic data.},

keywords = {AIML},

pubstate = {published},

tppubtype = {article}

}

@article{618,

title = {Green synthesis of rGO/MgO nanocomposite using Hylocereus polyrhizuspeel extract for antibacterial activity and photocatalytic dye degradation study},

author = {Sunil Abel and Saranya Amirtharajan and Arulprakasajothi Mahalingam and Srimanickam Baskaran and Sakthivel Pandurengan},

url = {https://www.sciencedirect.com/science/article/pii/S2667022425000726},

doi = {10.1016/j.chphi.2025.100885},

isbn = {2667-0224},

year  = {2025},

date = {2025-06-01},

volume = {10},

pages = {100885+},

abstract = {Current study demonstrates the preparation of rGO/MgO nanocomposite using Hylocereus polyrhizus due to its functional benefits, and green strategy method. Scanning electron microscopy (SEM) with Energy Dispersive X-ray analysis and X-ray diffraction were used to find the presence of crystal structure and the elemental analysis. XRD results revealed the cubic structure of the synthesized nanocomposite. The average crystallite size was 36.16 nm. The SEM portrays the agglomerated granular structure has larger scale web like structure are highly interconnected with large voids. The presence of graphene, magnesium and oxygen were analysed from the EDAX elemental studies. The presence of MgO and rGO diffraction planes is well matches with JCPDS card no. 04-0829 and 75-2078. Mg O C stretching vibrations and C O stretching vibrations reflected from FTIR studies confirms the presence of Mg and C in prepared composite. Furthermore, the photocatalytic capability of green synthesized rGO/MgO nanocomposite were employed to investigate the Methylene Blue degradation under solar irradiation when exposed to sunlight for 90 min, about 93 % of the dye was degraded. Disc diffusion method was performed to test the antibacterial activity against S. aureus and Escherichia coli at higher concentration of nanocomposite reveals that S. aureus showed maximum zone of inhibition. rGO/MgO material in terms of bioremediation of domestic and industrial waste by killing pathogenic bacteria, breaking down of colourant. The rGO/MgO nanocomposite's promise in environmental remediation is demonstrated by these results, especially in wastewater treatment for dye degradation and harmful bacteria suppression.},

keywords = {MECH},

pubstate = {published},

tppubtype = {article}

}

@article{393,

title = {Prosopis juliflora biochar-based hybrid composites: Mechanical property assessment and development prospects},

author = {Sundarakannan Rajendran and Vigneshwaran Shanmugam and Shankar Sanjeevi and Yo-Lun Yang and Uthayakumar Marimuthu and Geetha Palani and Arumugaprabu Veerasimman and Herri Trilaksana},

url = {https://www.sciencedirect.com/science/article/pii/S2666790825000783},

doi = {10.1016/j.clet.2025.100955},

isbn = {2666-7908},

year  = {2025},

date = {2025-05-01},

journal = {Cleaner Engineering and Technology},

volume = {26},

pages = {100955+},

publisher = {Elsevier},

abstract = {This study investigates the incorporation of biochar derived from invasive Prosopis Juliflora wood as a filler in jute fibre-reinforced epoxy composites at varying weight fractions (5 %, 10 %, 15 %, and 20 % wt). Mechanical evaluations comprised tensile, flexural, impact, and hardness tests, in addition to water absorption assessments. The composite containing 10 % weight biochar exhibited superior performance compared to conventional composites, demonstrating a tensile strength of 49 MPa, a hardness of 79, and an impact strength of 63 J/m. A peak flexural strength of 90 MPa was observed at 15 % wt. Biochar. The findings indicate the potential of biochar sourced from Prosopis Juliflora for sustainable composite materials applicable in the aerospace, automotive, and construction industries.},

keywords = {CCCIR},

pubstate = {published},

tppubtype = {article}

}

@article{395,

title = {The Role of Viscous Dissipation and Gravity Variations on the Onset of Convection in a Porous Layer With Throughflow and a Magnetic Field},

author = {Y. Gangadharaiah and V. Mamatha and S. Suma},

url = {https://doi.org/10.1002/htj.23337},

doi = {10.1002/htj.23337},

isbn = {2688-4534},

year  = {2025},

date = {2025-03-01},

journal = {Heat Transfer},

volume = {n/a},

publisher = {John Wiley & Sons, Ltd},

abstract = {This study explores the interplay between a magnetic field, viscous dissipation, and varying gravity profiles on the initiation of thermal convection in a porous medium with throughflow. Four gravity variation profiles?linear, parabolic, cubic, and exponential?are examined to determine their effects on the system's stability, using linear stability analysis with the normal mode technique, the Eigen function computed via a single-term Galerkin approximation, supported by computational tool Mathematica. Results demonstrate that exponential gravity variations provide the highest stability due to their rapidly increasing gravitational force, followed by linear, parabolic, and cubic profiles. Throughflow is found to enhance stability by reducing thermal gradients, while magnetic fields contribute to stabilization through Lorentz forces that oppose fluid motion. However, increasing viscous dissipation diminishes the stabilizing effects of both throughflow and magnetic fields. This study highlights the intricate interplay between these parameters and their collective role in determining the stability of the system, offering insights applicable to geophysical and engineering contexts involving porous media.},

keywords = {MATH},

pubstate = {published},

tppubtype = {article}

}

@article{394,

title = {Energy-Efficient Reliable Data Transmission Using Optimized Cyclone Foraging Strategy in 5G Wireless Sensor Networks},

author = {Sowmya Madhavan and Satti Reddy and T. Kavitha and Afshan kaleem and V. Shilpa},

url = {https://doi.org/10.1002/itl2.643},

doi = {10.1002/itl2.643},

isbn = {2476-1508},

year  = {2025},

date = {2025-03-01},

journal = {Internet Technology Letters},

volume = {8},

pages = {e643+},

publisher = {John Wiley & Sons, Ltd},

abstract = {As a fundamental supporting technology of 5th Generation (5G) systems, wireless sensor networks (WSN) are handling a new challenge to enhance its energy-efficient reliable transmission. However, energy usage and network lifetime are observed as challenging tasks because of limited battery capacity and open environments. The cyclone foraging strategy with beluga whale optimization (CFS-BWO) is proposed for energy-efficient reliable data transmission for 5G WSN. The CFS is applied for improving the exploitation phase of traditional BWO, where population transfers in spiral orientation among the best solutions. CFS-BWO optimizes the routing and data aggregation process, which minimizes the energy usage and enhances the network lifetime. The average delay, residual energy, communication cost, and distance are adopted as fitness functions for optimizing the best solution in both CH and route path selection. The performance was calculated by the metrics of residual energy, packet delivery ratio (PDR), and delay across 200, 400, 600, 800, and 1000 rounds. The CFS-BWO reaches residual energy of 0.87?J, PDR of 0.98, and delay of 15?ms for 1000 rounds when compared to optimal cluster-based routing (Optimal-CBR).},

keywords = {CSE},

pubstate = {published},

tppubtype = {article}

}

@article{348,

title = {Investigation of structural and electrochemical properties of Triphala-ZnO nanocomposite synthesized via green methodology for supercapacitor applications},

author = {S. Vigneshwaran and C. Naveen and H. Premkumar and R. Aswini and M. Priyanka and M. Muthuvinayagam and P. Rameshkumar and M. V. Pillai and A. H. Hirad and S. Arunachalam},

url = {https://link.springer.com/article/10.1007/s11581-024-06037-8},

doi = {10.1007/s11581-024-06037-8},

isbn = {09477047 (ISSN)},

year  = {2025},

date = {2025-02-01},

journal = {Ionics},

volume = {31},

publisher = {Springer Science and Business Media Deutschland GmbH},

chapter = {2123–2135},

abstract = {In the rapidly evolving world, the demand for energy storage solutions is escalating due to factors such as population growth, industrialization, and technological advancements. This research explores the potential of Triphala-ZnO nanocomposite powder as a novel material for energy storage applications. Triphala, a traditional Ayurvedic herbal formulation, is combined with zinc oxide (ZnO) nanoparticles to form a nanocomposite using a simple and cost-effective co-precipitation method. The structural, morphological, and compositional properties of the synthesized Triphala-ZnO nanocomposite were confirmed through characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), energy dispersive X-ray analysis (EDAX), and Fourier transform infrared spectroscopy (FTIR). The electrochemical studies, including cyclic voltammetry (CV) and galvanostatic charge–discharge (GCD) analysis, revealed the performance of synthesized material. In CV analysis, carried out with a 3 M KOH electrolyte, showed a specific capacitance of 511.7 F g⁻1 at 10 mV s⁻1 and a specific energy density of 279.90 Wh kg. In GCD analysis, the nanocomposite exhibited a specific capacitance of 8.11 F g⁻1 at a current density of 1 A g⁻1. These variations suggest the material exhibits pseudocapacitive characteristics. Moreover, the nanocomposite demonstrated an ionic conductivity of 1.6 × 10⁻3 S/cm and a low internal resistance of 5.9 Ω. The significant enhancement in specific capacitance and energy density compared to pure Triphala underscores the superior potential of the Triphala-ZnO nanocomposite for next-generation energy storage systems.},

note = {0},

keywords = {PHY},

pubstate = {published},

tppubtype = {article}

}

@article{726,

title = {IoT device for monitoring air pollution},

author = {S. Yashaswini and K. V. Kumar and A. K. Vasumathi},

url = {https://www.atjournal.com/images/november-2025.pdf},

isbn = {09713425 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Asian Textile Journal},

volume = {34},

pages = {42-47,},

publisher = {G P S Kwatra},

note = {0},

keywords = {CSE},

pubstate = {published},

tppubtype = {article}

}

@article{725,

title = {Identification, Source Forensics, and Risk Assessment of Heavy Metals in the Groundwater of Tannery Area in Bangalore, India},

author = {S. Raman},

url = {https://www.tandfonline.com/doi/full/10.1080/15275922.2025.2594978},

doi = {10.1080/15275922.2025.2594978},

isbn = {15275922 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Environmental Forensics},

publisher = {Taylor and Francis Ltd.},

abstract = {This study involves the identification and risk assessment of heavy metals in groundwater of tannery area in Bangalore, India, where leather and a few allied industries are responsible for severe contamination. Groundwater-dependent residents report health disorders, underlining the need for planned studies and mitigation measures. Groundwater samples were collected from 30 locations during the pre-(dry) and post-monsoon (wet) seasons of 2024 and analyzed for chromium, copper, lead, cadmium, and iron. Risk indices such as contamination factor (CF), degree of contamination (CD), pollution load index (PLI), index of geo-accumulation (Igeo), enrichment factor (EF), quantification of contamination (QoC), and ecological risk index (ERI) were evaluated. Forensic and source identification confirms anthropogenic origin linked to tanning, metal processing, and associated industrial activities. During pre-monsoon, 70%, 36.67%, 33.33%, 53.33%, and 56.67% of samples exceeded BIS limits for Cd, Fe, Cu, Pb, and Cr, respectively, while in post-monsoon, 60%, 33.37%, 33.33%, 53.33%, and 46.67% exceeded limits in the same order. Pre-monsoonal metal concentrations were marginally higher, though variations were negligible. Based on CF, 53.33%, 33.33%, 30%, and 26.67% of samples were in very high contamination zone for Fe, Cd, Cr, and Pb; 6.66%, 23.33%, 13.33%, and 3.33% were in considerable contamination zone for Fe, Cr, Cu, and Pb. CD index shows 43.33% and 13% of samples under high and considerable contamination range. PLI indicated extremely heavy contamination in 40% and heavy contamination in 13.33% of samples. EF showed most samples in background rank and minimal enrichment; only one sample each showed very high enrichment for Pb and Cd, and extremely high enrichment for Cu, Cr, and Cd. Igeo values revealed 10, 6, 5, 6, and 10 samples fell under the heavily to extremely contaminated category. ERI indicated Cd contributed to 30% of samples under very high ecological risk, along with 3 due to Pb, 2 due to Cu, and one each due to Pb and Cd, showing high ecological risk. Overall, ERI showed low to moderate risk. QoC revealed human activities as the primary contamination source. These findings provide a critical foundation for policymakers to reduce contamination, mitigate risks, and ensure sustainable groundwater management.},

note = {0},

keywords = {CIVIL},

pubstate = {published},

tppubtype = {article}

}

@article{722,

title = {Multi-Objective Whole Slide Image Segmentation Using Nature Inspired Whale Optimization Algorithm},

author = {K. P. Shivamurthy and A. S. Raju},

url = {https://www.internationaljournalssrg.org/IJEEE/paper-details?Id=1161},

doi = {10.14445/23488379/IJEEE-V12I9P121},

year  = {2025},

date = {2025-01-01},

journal = {SSRG International Journal of Electrical and Electronics Engineering},

volume = {12},

pages = {202-214,},

publisher = {Seventh Sense Research Group},

abstract = {For precise histopathological image analysis and classification, segmentation is a critical step that must be carried out accurately. Segmentation aids early detection and diagnosis of tumor and cancerous cells. Machine learning and artificial intelligence processes play a vital role in image processing applications. In this proposed work, the nature-inspired Whale Optimization Algorithm is used for the segmentation of whole slide images through multi-objective image thresholding. The images are subjected to initial pre-processing to eliminate disturbance and enhancement, followed by the application of the best threshold value. Various histopathology images are examined to validate the efficiency and versatility of the proposed methodology. A Dice coefficient of 50.8, a Jaccard index of 51.33, a Precision of 51.22, a Sensitivity of 71.59, an Accuracy of 91.86, an F-measure of 50.76, and a Specificity of 71.17 were the average results obtained for the tested images using the proposed system. The outcomes are assessed with other common segmentation approaches, validating the algorithm.},

note = {0},

keywords = {EEE},

pubstate = {published},

tppubtype = {article}

}

@article{721,

title = {Decentralized Urban Groundwater Nitrate Remediation Using Low-Cost ZVI Reactors: Laboratory Validation, Colony-Scale Simulation, Techno-Economic Assessment, and Deployment Feasibility},

author = {SHANKAR .S},

url = {https://onlinelibrary.wiley.com/doi/10.1002/rem.70051},

doi = {10.1002/rem.70051},

isbn = {10515658 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Remediation},

volume = {36},

publisher = {John Wiley and Sons Inc},

abstract = {Elevated nitrate levels in groundwater across India's urban peripheries present a pressing public health challenge, especially in unplanned settlements where formal remediation infrastructure is lacking. This study proposes a scientifically validated, cost-effective nitrate mitigation approach based on modular zero-valent iron (ZVI) reactors designed for decentralized installation and passive operation. Using detailed laboratory experimentation and field sampling across 30 stations in Bellandur (Bengaluru, India), a deployment simulation was created to model the reactor's real-world scalability. The gravity-fed column reactor constructed using locally available media—sand, charcoal, brickbats, and red soil, which contain ZVI capable of absorbing nitrate—demonstrated 85%–90% nitrate removal efficiency across varied synthetic influent levels, achieving compliance with the Bureau of Indian Standards (BIS) nitrate permissible standard of 45 mg/L. The deployment simulated reactor incorporating field data, population exposure indexing, and reactor allocation was developed, achieving an average nitrate removal efficiency of 82.4% across high-risk zones, with post-treatment concentrations reduced below the BIS permissible standard. Based on the above functions, the simulation recommended the installation of 3335 ZVI reactors across 17 high-risk colonies, directly serving over 28,500 households and addressing a cumulative nitrate load of 2984 mg/L. Comparative cost analysis revealed that this system reaches breakeven against reverse osmosis (RO) within 4 years and against ion exchange (IX) in 7 years, offering a practical alternative for corporate social responsibility-aligned groundwater rehabilitation programs. This is one of the first studies to integrate laboratory validation, colony-scale deployment simulation, and techno-economic assessment into a single nitrate remediation framework for peri-urban India and similar underserved regions, providing both technical validation and a replicable policy blueprint, providing a validated deployment framework rooted in field data, cost realism, and performance metrics.},

note = {0},

keywords = {CIVIL},

pubstate = {published},

tppubtype = {article}

}

@article{720,

title = {FreqPatchNet: A Dual-Domain Patch-Wise Fusion Network for Robust Phase Correction in Underwater Image Reconstruction},

author = {C. V. Deepthi and L. Bingi and R. S. Shoma and K. Arpitha and C. Lohith and A. K. Vasumathi and A. Gnanasundari},

url = {https://etasr.com/index.php/ETASR/article/view/12990},

doi = {10.48084/etasr.12990},

isbn = {22414487 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Engineering, Technology and Applied Science Research},

volume = {15},

pages = {26771-26776,},

publisher = {Dr D. Pylarinos},

abstract = {This paper presents FreqPatchNet, a novel patch-wise dual-domain Convolutional Neural Network (CNN) designed to correct phase distortions in underwater images. The model uses bispectral frequency features and local CNN regression to reconstruct clean images from distorted inputs. Evaluated using Peak Signal-to-Noise Ratio (PSNR) and Mean Squared Error (MSE), FreqPatchNet achieves a maximum PSNR of 35.6 dB and a lowest MSE of 0.28 at 10% distortion. A comparative analysis with state-of-the-art methods shows the superior performance of the proposed model in structural similarity. Real-world tests confirm its potential for underwater robotics and vision applications.},

note = {0},

keywords = {ISE},

pubstate = {published},

tppubtype = {article}

}

@article{719,

title = {Biogenic synthesis of copper oxide nanoparticles from Ricinus communis L. leaf extract and their cytotoxic and pro-apoptotic effects on tumor cell lines},

author = {G. B. Tennalli and S. Shiralgi and B. S. Hungund and S. Joseph and M. N. Divate and K. Upadhyaya},

url = {https://www.sciencedirect.com/science/article/pii/S221171562500880X?via%3Dihub},

doi = {10.1016/j.rechem.2025.102896},

year  = {2025},

date = {2025-01-01},

journal = {Results in Chemistry},

volume = {18},

publisher = {Elsevier B.V.},

abstract = {Copper oxide nanoparticles (CuONPs) were synthesized via an eco-friendly method using aqueous leaf extract of Ricinus communis L. Phytochemical analysis revealed the presence of flavonoids, phenols, and alkaloids, which mediated the reduction and stabilization of nanoparticles. The CuONPs were characterized using UV–Vis spectroscopy, FTIR, XRD, SEM, and EDX techniques. XRD results confirmed a monoclinic crystalline phase with an average crystallite size of ∼25 nm, while SEM images showed uniformly dispersed spherical particles (25–30 nm). The nanoscale morphology facilitated cellular uptake and enhanced surface reactivity, thereby promoting the generation of reactive oxygen species (ROS). CuONPs exhibited dose-dependent cytotoxicity against cancer cell lines with IC₅₀ values of 281 μg/mL (A-549 lung), 795 μg/mL (MCF-7 breast), and 1022 μg/mL (HepG-2 liver), compared to 1467 μg/mL in normal HEK293 cells. Selectivity index (SI) analysis demonstrated preferential toxicity toward A-549 cells (SI = 5.22), while SI values for MCF-7 (1.85) and HepG-2 (1.44) were below the therapeutic threshold. Flow cytometry confirmed apoptosis in 11.1 % of A-549 cells at the IC₅₀ concentration, validated by Annexin V/PI staining and nuclear condensation. Overall, R. communis -mediated synthesis offers a sustainable route to structurally optimized CuONPs with selective antiproliferative and pro-apoptotic activity, which is particularly promising for lung cancer therapy.},

note = {0},

keywords = {CCCIR},

pubstate = {published},

tppubtype = {article}

}

@article{718,

title = {Performance optimization of CI engine using python with blends of waste oil biodiesel, plastic pyrolysis oil, and diesel},

author = {M. Kanan and R. Muraliraja and V. Ramanathan},

url = {https://www.sciencedirect.com/science/article/pii/S2211715625007532?via%3Dihub},

doi = {10.1016/j.rechem.2025.102769},

year  = {2025},

date = {2025-01-01},

journal = {Results in Chemistry},

volume = {18},

publisher = {Elsevier B.V.},

abstract = {This study explores the novel integration of ternary fuel blends comprising diesel, biodiesel derived from waste cooking oil, and pyrolysis oil obtained from waste plastics in a single-cylinder direct injection compression ignition (CI) engine. A major innovation lies in the simultaneous utilization of two waste-derived fuels—biodiesel and plastic pyrolysis oil—to create a sustainable, low-emission alternative to conventional diesel. Engine tests were conducted under varying injection pressures (170, 200, and 230 bar) and load conditions to evaluate brake thermal efficiency (BTE), exhaust gas temperature (EGT), and key emissions such as NOx, CO, UHC, and smoke opacity. The results indicate that blends such as P10B220D70 and P15B215D70 offer optimal engine performance and combustion stability at 230 bar injection pressure. Notably, a Python-based statistical correlation analysis was employed to determine the influence of input variables (fuel blend, injection pressure, and load) on engine performance and emissions, identifying injection pressure as the most significant factor. This integrated experimental and computational approach underscores the viability of ternary waste-fuel blends as a promising solution for cleaner and more efficient CI engine operation.},

note = {0},

keywords = {CSE},

pubstate = {published},

tppubtype = {article}

}

@article{717,

title = {Enhanced Optimization of inventory production model: Incorporating fuzzy logic, partial trade credit policy, and reliability factors},

author = {S. R. Shanthi and S. Ramalingam and Maria Raj and K. Kalaiarasi},

url = {https://nonlinearstudies.com/index.php/mesa/article/view/3909},

isbn = {20413165 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Mathematics in Engineering, Science and Aerospace},

volume = {16},

pages = {1261-1278,},

publisher = {Cambridge Scientific Publishers},

abstract = {One of the most crucial components of both product demand and the production inventory system is reliability. Demand is increased during the manufacturing process by products that are more stable and efficient, but credit is also a firm’s business tactic. Combining these two ideas, we have mathematically evaluated and defined a manufacturing order quantity with a partly impact of credit availability and dependability influence on the supply chain, where the demand from the consumers is influenced by the goods’ prices and the absorption is regarded as a constant. Now consider all conceivable scenarios based on acceptable credit durations, the suggested model introduces credit terms policies for both the supplier and the client. To find the optimal solution, Nonlinear Programming Lagrangian Method is used, which makes an impacts on the Average Monthly Cost. In the proposed model, for fuzzification we use the Trapezoidal Fuzzy Number (TFN) to determine the optimal cost and defuzzification using the novel method called graded mean integration (GMI). In order to evaluate the integrated inventory model, the Python code is used in calculating the economic order quantity (EOQ) and the Total Cost (TC) by generating a CSV file. MATLAB is used to compare the crisp set and the fuzzy set graphically.},

note = {0},

keywords = {BASIC SCIENCE},

pubstate = {published},

tppubtype = {article}

}

@article{716,

title = {Adaptive Dual-Channel Neural Network with Triangulation Topology Optimization for Kidney Cancer Diagnosis and Surgery Planning Using Clinical Metadata},

author = {A. Harshvardhan and R. J. Shaikh and K. V. Khan and M. G. Jayanthi},

url = {https://link.springer.com/article/10.1007/s11220-025-00674-7},

doi = {10.1007/s11220-025-00674-7},

isbn = {15572064 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Sensing and Imaging},

volume = {26},

publisher = {Springer},

abstract = {Heterogeneity in tumor size, kind, and stage makes it difficult to diagnose kidney cancer and prepare for surgery, making the decision between partial & radical nephrectomy more difficult. This study proposes an Adaptive Dual-Channel Pulse-Coupled Neural Network with Triangulation Topology Aggregation Optimizer (ADP-CNN-TTAO) that integrates computed tomography (CT) imaging and clinical metadata for more reliable decision support. Using the publicly available KiTS21 dataset comprising 300 annotated patient cases with diverse tumor subtypes, the method combines Iterative Robust Peak-Aware Guided Filtering (IRPAGF) for CT preprocessing, robust imputation for missing clinical variables, Analytical Clifford Fourier Mellin Transform (ACFMT) for imaging feature extraction, and Steerable Transformers (ST) for metadata representation. Experimental evaluation with cross–validation shows consistently high classification performance across papillary, chromophobe, clear cell, and oncocytoma subtypes, outperforming state-of-the-art baselines. Importantly, tumor volume and stage emerged as key determinants for surgical planning. While results demonstrate strong potential for clinical decision support, the approach requires further validation on multi-center datasets and real-world prospective trials to confirm its generalizability and clinical impact.},

note = {0},

keywords = {CSE},

pubstate = {published},

tppubtype = {article}

}

@article{715,

title = {Metasurface-integrated Al₂O₃ ceramic dielectric resonator for enhanced gain and polarization performance in mm-wave MIMO systems},

author = {S. K. Yadav and A. K. Dwivedi and D. Sigroha and S. Tripathi and A. Sharma and S. Pandey},

url = {https://www.nature.com/articles/s41598-025-27278-1},

doi = {10.1038/s41598-025-27278-1},

year  = {2025},

date = {2025-01-01},

journal = {Scientific Reports},

volume = {15},

publisher = {Nature Research},

abstract = {This paper outlines the design and characterization of a dual-port dielectric resonator antenna made from alumina (Al₂O₃) and coupled with a metasurface superstrate for millimeter-wave applications. Alumina ceramic with high permittivity (εr = 9.9, tanδ = 0.0019) was employed to excite the lower-order HEM<inf>11δ</inf> mode through aperture coupling to enable efficient radiation between 27.65 and 28.75 GHz. A dual-stub C-shaped slot was carefully engineered on the substrate to generate orthogonal modes, thereby realizing circular polarization throughout the bandwidth of 27.8–28.45 GHz. To access better radiation properties, a double-negative (DNG) metasurface lens made on an RT Duroid substrate was coupled with a resultant increase in realized gain to about 11 dBi, with preservation of impedance and polarization properties. Experimental characterization confirmed steady broadside radiation patterns with low mutual coupling (<– 25 dB), together with exemplary diversity parameters (ECC < 0.02, DG ≈ 10 dB). The integration of both dielectric ceramic and metasurface building materials demonstrates a synergistic building–structure approach to realizing high-gain, circularly polarized, volume-reduced radiators with millimeter-wave applications. These outcomes highlight engineered dielectric–metasurface architectures as a prospective pathway for licensed 5G FR2 frequency band.},

note = {0},

keywords = {ECE},

pubstate = {published},

tppubtype = {article}

}

@article{714,

title = {Dispersion compensation in single and multi-channel DWDM using chirped apodized fiber Bragg gratings},

author = {K. K. Balakrishna and G. M. C. Ramappa and K. Palani},

url = {https://beei.org/index.php/EEI/article/view/10599},

doi = {10.11591/eei.v14i6.10599},

isbn = {20893191 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Bulletin of Electrical Engineering and Informatics},

volume = {14},

pages = {4548-4564,},

publisher = {Institute of Advanced Engineering and Science},

abstract = {Chromatic dispersion (CD) is a key limiting factor in long-haul optical fiber communication, particularly in multi-channel dense wavelength division multiplexing (DWDM) systems, where it introduces signal distortion and inter-symbol interference (ISI). This paper proposes a low-dispersion-offset compensation (LDOC) scheme employing Gaussian-apodized linear chirped fiber Bragg gratings (CFBGs) to enhance dispersion management in single and multi-channel DWDM optical fiber communication systems. Simulations were performed in OptiSystem 7.0 for 10 Gbps single-channel transmission over standard single-mode fiber (SSMF) spanning 110–210 km, and were extended to 4- and 8-channel DWDM systems with a 0.8 nm channel spacing. System performance was evaluated in terms of quality factor (Q-factor), bit error rate (BER), and eye height under varying fiber lengths, input powers, and chirp coefficients. The LDOC-enhanced CFBG achieved a Q-factor of 7.04 with a BER of 9.82×10-13 for single-channel transmission at 180 km, 13.83 with a BER of 5.57×10-41 for a 4-channel system at 150 km, and 7.56 with a BER of 7.76×10-11 for an 8-channel system at 150 km. These results confirm significant improvements compared to conventional CFBGs, demonstrating that the proposed LDOC-based approach is a compact and effective solution for next-generation metro-core, long-haul, DWDM, and 5G/6G optical networks.},

note = {0},

keywords = {ECE},

pubstate = {published},

tppubtype = {article}

}

@article{713,

title = {Optimizing Wear Characteristics of Aluminium Powder Reinforced Epoxy Polymer Matrix Composite Using Taguchi Grey Relational Analysis Approach},

author = {U. Suhas and K. N. Shashidhara and M. J. Raghavendra and R. K. Billady and S. Balaji},

url = {https://link.springer.com/article/10.1007/s40033-024-00768-8},

doi = {10.1007/s40033-024-00768-8},

isbn = {22502122 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Journal of The Institution of Engineers (India): Series D},

volume = {106},

pages = {1707-1721,},

publisher = {Springer},

abstract = {Aluminium-epoxy composites, known for their improved mechanical and tribological properties, exhibit significant potential in various engineering applications. This study investigates the wear behaviour of these composites with a focus on optimization for improved performance. An appropriate manufacturing approach was utilized in order to incorporate aluminum particles into an epoxy matrix as part of the fabrication process. An apparatus that was specifically designed for testing was utilized in order to assess the wear characteristics. For the purpose of designing trials and optimizing the parameters of the wear process, Taguchi's approach was applied. Zircon particles were found to be distributed uniformly throughout the Al-epoxy composites, as demonstrated by the visual evidence obtained from scanning microscopy samples. Statistical analysis revealed that the factor load is the most significant contribution to wear, accounting for roughly 5.67% of the observed wear. Sliding distance, speed, and composite load were determined to be the next most significant contributors to wear. Finding the COF in composites can be accomplished by the use of a prediction tool that is the regression equation that was generated from the data. According to the GRA response table, the best set of parameters for improving the wear properties is as follows: the applied load should be 35 N, the sliding speed should be 250 m/s, and the sliding distance should be approximately 1650 m. A scanning electron microscopy examination of the surface that had been worn revealed that the Al-epoxy composite had exhibited steady wear with the parameters adjusted to their ideal values.},

note = {1},

keywords = {MECH},

pubstate = {published},

tppubtype = {article}

}

@article{706,

title = {Integrated experimental-modeling study on strength and durability in fiber-reinforced geopolymer concrete},

author = {A. K. Manahala and C. Wollur and A. Ranjith and M. S. Shobha and E. Hanumappa and S. Kavith},

url = {https://onlinelibrary.wiley.com/doi/10.1002/suco.70345},

doi = {10.1002/suco.70345},

isbn = {14644177 (ISSN); 17517648 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Structural Concrete},

publisher = {John Wiley and Sons Inc},

abstract = {The newest innovation in the building industry is alkaline activated concrete. Additionally, the demand for river sand has increased significantly and is now more expensive. Utilizing locally accessible supplies improves both the environmental and economic aspects. Manufactured sand (MS) is a substitute for stream sand in this situation. Using the right reinforcing components, namely “Fibers,” can increase the ductility of these quasi-brittle inorganic composites. The paper's focus is polymer–concrete optimization, highlighting the impact of fiber and molar concentration. To make GPC mixtures, a solution-to-binder ratio of 0.45 was maintained. An addition of 1% of fibers was made to the matrix. The samples were considered for molarities of 12 and 14. Samples were cast and exposed to ambient curing. In addition to fibers with increasing molarities, the slump values have decreased by 41%, compressive and flexural strength results are improved by 11% and 19% respectively, and the modulus of elasticity (Ec) is compared with the analytical equation where the coefficient is within 10%. Sorptivity outcomes prove a noteworthy decline in capillary rise up to 24.7% compared to traditional concrete; penetration of chloride has reduced by 39%.},

note = {0},

keywords = {CIVIL},

pubstate = {published},

tppubtype = {article}

}

@article{705,

title = {Rat Race Coupler Design in Fixed Width SIW/Microstrip: Methodology and Validation},

author = {B. K. Bharti and A. N. Yadav and A. K. Dwivedi},

url = {https://ieeexplore.ieee.org/document/11219259},

doi = {10.1109/LMWT.2025.3623905},

isbn = {2771957X (ISSN); 27719588 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {IEEE Microwave and Wireless Technology Letters},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This letter introduces a simple and practical solution for designing a compact rat race coupler (RRC) in fixed-width microstrip and substrate-integrated waveguide (SIW) technologies. Unlike the traditional method that requires multiple impedance lines, the proposed approach maintains a uniform impedance and constant cutoff frequency, making it directly applicable to SIW. A significant 26.66% reduction in the coupler’s ring size is achieved. Theoretical design equations are validated through the design of couplers at 5 and 18 GHz in microstrip and SIW, and experimental findings confirm the simulation results.},

note = {0},

keywords = {ECE},

pubstate = {published},

tppubtype = {article}

}