Research Publications

@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{428,

title = {Integrated thermal and battery management for electric vehicles: Experimental validation and simulation-based optimization of lithium-ion batteries},

author = {P. H. Kumar and G. Raju and M. Bajaj and N. C. Alluraiah and P. Gopi and S. K. Pulumithi and R. G. Remabhai and R. Gopi and I. Zaitsev},

url = {https://journals.sagepub.com/doi/10.1177/01445987251337094},

doi = {10.1177/01445987251337094},

isbn = {01445987 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Energy Exploration and Exploitation},

publisher = {SAGE Publications Inc.},

abstract = {Electric vehicles (EVs) are pivotal in reducing greenhouse gas emissions and achieving sustainable transportation goals. However, lithium-ion batteries (LIBs), the primary energy source for EVs, face critical thermal management, safety, and long-term efficiency challenges. This study proposes an integrated thermal and battery management system that combines a water–ethylene glycol-based liquid cooling mechanism with high-conductivity copper tubing to enhance LIB performance, longevity, and safety. Through COMSOL multiphysics simulations, this study examines LIB thermal behavior under varying operational conditions. The results indicate a 20% reduction in temperature peaks, with the battery maintaining an optimal temperature range of 15°C to 35°C, thus mitigating the risks of thermal runaway. Experimental validation using infrared thermography and thermal imaging confirms the system's efficiency, showing a maximum recorded battery temperature of 43.48°C under load conditions, significantly lower than unmanaged battery systems. Beyond thermal management, this work integrates advanced battery management strategies, including state-of-charge estimation, predictive fault diagnostics, active energy optimization, and cell balancing. Experimental analysis further reveals that the proposed system improves heat dissipation, resulting in a more uniform temperature distribution across the battery pack and reduced internal resistance-related losses. Additionally, infrared thermographic measurements demonstrate a 2°C to 3°C temperature uniformity improvement across battery cells, preventing localized overheating. This novel approach bridges the gap between cutting-edge cooling techniques and intelligent battery management, offering a scalable and cost-effective solution for next-generation EV battery systems. The findings have significant implications for enhancing battery safety, improving operational efficiency, extending battery lifespan, and accelerating global EV adoption.},

note = {0},

keywords = {EEE},

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}

}