Technologies for Energy, Agriculture, and Healthcare -

Technologies for Energy, Agriculture, and Healthcare

eBook Ausgabe. 1. Auflage. Sprachen: Englisch
eBook (pdf), 662 Seiten
EAN 9781040914007
Veröffentlicht April 2026
Verlag/Hersteller Taylor & Francis eBooks
81,99 inkl. MwSt.
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Beschreibung

Energy, Agriculture and Healthcare are key areas which address the development of the nation. Technology plays a vital role in the development of Energy, Agriculture and Healthcare. Development in sustainable Energy technologies will fulfill energy requirements for the long run. Technologies in agriculture will enable farmers to increase yield. Technology in healthcare will improve medical facilities. In today's world technology related to automation, computing, data analysis, sensor, AI/ML, and IoT drives growth in the Energy, Agriculture and Healthcare sector. There is enormous potential to explore, utilize and upgrade technologies in energy, agriculture and healthcare sector. This motivates to organize this conference which provides platform for researchers to exchange/showcase their research findings in the field of energy, agriculture and healthcare. We intend to attract high quality submission by following rigorous review process. There are conferences organized in recent times on advanced technologies independently focusing on energy, agriculture and healthcare. However our conference provides a single and integrated platform for researchers working in the area of energy, agriculture and healthcare with focus on use of IT tools in these area. Our conference is specifically focused on research in the area of Energy, agriculture and healthcare. The conference provides a platform for young researchers and Ph.D. scholars to showcase/share their research findings and get peer reviews and inputs to go further meticulously in their research area. Our conference will be organized in the hybrid mode, which will encourage researchers all over the world to participate and interact with peer researchers. Researchers will get exposure to best practices in their research area. We will be following the peer review process with a plagiarism check to maintain the originality and quality of the research paper. Under each track, researchers will be encouraged by awarding best paper.

Portrait

Dr. S. K. Ukarande is the Director, K. J. Somaiya School of Engineering, Mumbai and the Dean, Faculty of Engineering & Technology at Somaiya Vidyavihar University, Mumbai. He holds a Bachelor's degree from College of Engineering, Pune, and a Master's and Ph.D. from IIT Bombay. In his 39 years of exceptional career, he has extensively contributed at various higher technical education leadership positions. He has served as the Principal of reputed engineering colleges affiliated to the University of Mumbai and Pune University for more than 26 years. He has been the Former Dean, Faculty of Technology as well as Former Dean, Faculty of Science & Technology at University of Mumbai. With 4 books to his credit, he has published more than 50 Papers in National and International Journals/Conference Proceedings. He has guided 24 PG Dissertations and 8 Ph.D. candidates. He was the guiding force and leadership for development of the satellite 'Somaiya BeliefSat-0' by the team at K J Somaiya Institute of Technology, which was successfully launched by ISRO in 2024, a landmark achievement for any engineering institute in India. Dr. Ukarande is honoured with Bhartiya Vidya Bhavan National Award for Best Engineering College Principal (2018- 19) by the Indian Society for Technical Education, most Inspiring Leader in Engineering Education (2023) by Higher Education Digest for his enormous contributions in the field of education. His visionary leadership continues to shape KJSSE through innovation, excellence, and impactful transformation.Orcid ID: https://orcid.org/0000-0003-4262-4121 Dr. Shailesh R. Nikam is working as an Professor in the Mechanical Engineering Department at Somaiya Vidyavihar University, Mumbai. He completed Ph.D. from Aerospace Engineering Department, at IIT Bombay, Mumbai. He has 26 years of teaching experience. He has more than forty peer-reviewed publications in reputed journals and conference. His current area of research includes low speed aerodynamics, Jet and wake flow control, Heat Exchanger Design, Cardiovascular Fluid Dynamics. Orcid ID: https://orcid.org/0000-0002-0934-3005 Dr. Makarand G. Kulkarni is working as an Associate Professor in the Electronics Engineering Department at Somaiya Vidyavihar University, Mumbai. He received his Ph.D. (Technology) in the Electrical Engineering Department, from University Mumbai. He has 22 years of teaching experience. He has twenty-five peer-reviewed publications in reputed conferences and journals. His publication includes papers in reputed journals like Progress in Electromagnetic Research, Telecommunications and Radio Engineering etc. He is also a reviewer of reputed international journals like Wireless Personal Communications Springer, Microwave and Optical Technology Letters, Progress in Electromagnetic Research. His research interests include RF and Microwave Communication Devices and Circuits, Optical Fibre Communication, Internet of Things (IoT), Digital Communication and Engineering Electromagnetics. He is a Life Member of ISTE, IETE. Orcid ID: https://orcid.org/0000-0001-7696-528 Dr. Nandana A. Prabhu is an Associate Professor in the Department of Information Technology at Somaiya Vidyavihar University, Mumbai. She completed her Bachelors in Electronics and Communication Engineering from B.V.B College of Engineering, Hubli under Karnatak University. She did her Post graduation from V.J.T.I, under the University of Mumbai. She pursued her Ph.D. in Electronics Engineering from University of Mumbai. She has a total of 32 years of teaching experience. She has 29 paper publications in reputed journals and conferences. Her areas of interest are image processing, Geographical information systems, Analytics, Machine learning. Orcid ID: https:// orcid.org/0000-0003-2638-0358 Dr. Vaibhav S. Narwane is working as an Associate Professor in the Mechanical Engineering Department at Somaiya Vidyavihar University, Mumbai. He received his Ph.D. in the Production Engineering Department, from University Mumbai. He has 21 years of teaching and 1 year of industrial experience. He has more than fifty peer-reviewed publications in reputed journals. His research has over 2000 Google Scholar citations with high h-index and i10-index. He is a fellow member and active member of the IIIE. His current area of research includes AI/ML for Manufacturing, Big data analytics, Smart Manufacturing, and Supply Chain Analytics. Orcid ID: https://orcid. org/0000-0003-3923-2805 Dr. Ninad D. Mehendale is a postdoctoral researcher from KIT, Germany, and is currently an Associate Professor in the Electronics Department at K.J. Somaiya School of Engineering. Prior to KJSCE, he worked as a Scientist at the Institute of Microstructure Technology, Karlsruhe Institute of Technology, Germany. He has also served as a faculty member at Vidyalankar Institute of Technology and D.J. Sanghvi College of Engineering. Dr. Ninad holds a Ph.D. in Microfabrication and Image Processing from the Indian Institute of Technology Bombay. He was a gold medalist during his M.Tech. at NMIMS University. He also holds a Bachelor of Engineering degree in Electronics and Telecommunication, as well as a Diploma in Industrial Electronics. During his diploma studies, he received the Ratan Tata Scholarship for being a topper in the MSBTE diploma exams. Dr. Ninad is the founder and served as Chief Researcher for 11 years at Ninad's Research Lab in Thane. He has completed more than 2,400 projects in various domains, ranging from computer programming to robotics. Orcid ID: https://orcid.org/ 0000-0003-3037-5076 Dr. Nilkamal P. More is currently working as head of department of Information Technology. She is working in K. J. Somaiya School of Engineering, Somaiya Vidyavihar University for last 22 years. She received her Ph.D. in the Computer Engineering, from Veermata Jijabai Technological Institute (VJTI) under University of Mumbai. She is a fellow member and active member of the IEEE. She achieved Gold medal during her diploma in computer engineering. Her current area of research includes GIS, Remote sensing, AI/ML and Deep learning. Orcid ID: https://orcid.org/ 0000-0003-0964-9490

Inhaltsverzeichnis

1 Low-cost app-based solution for skin lesion detection using deep learning 2 Satellite image analytics for tree enumeration for diversion of forest land 3 XMAL: explainable multi-layer perceptron for improving alcoholism detection using EEG signals 4 Impact of inception based CNN in brain tumor detection with optimized hyperparameter tuning 5 IoT in pisciculture: revolutionizing fish farming for cleaner water ecosystem 6 Comparative study on traditional manual checking methods and machine learning based checking methods for Pomegranate plant leaf disease 7 Exploring the efficacy of ensemble learning and deep neural networks in diabetes disease detection 8 Three-decades of satellite data exploration of spatial-temporal variations and its impact on LULC mapping with change detection in Rajasthan 9 Enhancing cybersecurity in energy IoT networks: a machine learning algorithms on data tampering 10 ECHO: empowering college health operations through artificial intelligence - a mental wellness support system 11 CFD modelling and analysis of a two-phase closed thermosyphon charged with distilled water 12 AI-based intrusion detection system in IoT-based smart renewable energy system 13 Markov chain simulation for pharmaceutical medicine inventory optimization amidst pandemic conditions: analyzing ABC and VED inventory policies 14 Risk analysis in healthcare industry: leveraging Monte Carlo, Markov chains and preference matrix models 15 Computer-aided detection in mammography: a comprehensive review of pectoral muscle segmentation methods and BI-RADS classification systems 16 Segmentation of drone/satellite/smartphone-captured plant and vegetable images using image processing for quality assessment 17 Insole design for abnormality detection and fall risk assessment using gait analysis 18 AI-driven predictive maintenance for biomedical devices: enhancing reliability and efficiency in healthcare 19 A ML technique for crop ailment detection utilizing image processing and feature extraction 20 Design of a solar parabolic dish collector for medical waste disposal 21 AI based improved gait analysis in Genu Valgum patients 22 Deep learning-based automated leaf counting for sorghum 23 Design and implementation of smooth transition logic for analog-controlled BLDC motor systems in agricultural applications 24 Estimation of foot progression angle using MediaPipe BlazePose: a pilot study 25 Design and fabrication of PCM based solar thermal energy storage system 26 Enhanced disease detection in cucumber plants using VGG16-based deep and transfer learning 27 ParalyzeAssist: a smart wearable solution for paralysis 28 Investigation of radiative reflective coatings for various applications using ANSYS simulation 29 Influence of body weight on the knee joint cortical bones using finite element analysis 30 Comparative analysis of machine learning models for plant disease classification 31 Image-based tree enumeration and classification for forest land diversion planning 32 MsBiCNet: multi-stage binary-cascade CNN for improving skin cancer detection 33 System-level modeling and analysis of a PEM fuel cell electric vehicle using Simulink 34 Generative deep learning for drug discovery 35 Experimental studies on micro-channeled liquid cooled battery thermal management system for Li-ion battery 36 Integrating AI and web technologies for effective dissemination of Ksharasutra practices in predictive anorectal care 37 AI-driven PM2.5 prediction in India: a machine learning approach using XGBoost and ensemble models 38 AI for smart energy generation and distribution in India 39 Enhancing urban elderly healthcare with generative AI: a virtual medical assistant for remote consultation 40 Multimodal learning for skin cancer classification: a feature fusion approach using dermoscopic images and patient metadata 41 Advances in soil nutrient sensing technologies for precision agriculture: a comprehensive review 42 PCOD detection using convolutional neural networks 43 Precision quality control: design and implementation of an automated defect detection system for industrial applications 44 Ecobot: pest detection alert system-safeguarding against infestations 45 Dynamic water management system for multipurpose usage using labVIEW's capabilities and XGBoost regressor 46 Endothermic reaction-based cooling for portable beverage can 47 Parametric numerical analysis of heat transfer in forced draft evaporative cooling tower 48 Computational analysis of ceramic faced epoxy-carbon and epoxy-glass laminates against high energy impact 49 LiDAR-based autonomous mini-vehicle with obstacle detection and avoidance for Indian road conditions 50 DeepPET-3D: a deep learning based 3D-CNN model for diagnosis of Alzheimer's disease using 18-FDG-PET 51 Mathematical modelling and simulation study of PEM electrolyzer for hydrogen production 52 Performance evaluation of CSRR structures for ISM applications 53 Optimizing robotic paths for contactless drug delivery in healthcare using PCHMM 54 Statistical evaluation of prosodic speech features for dementia detection 55 Numerical analysis of high energy impact on glass/carbon fiber reinforced composites using Abaqus 56 Explainable AI: enhancing human understanding of machine intelligence systems 57 A comprehensive review of multimodal techniques for early detection of minor strokes 58 IoT-based agricultural crop recommendation system for optimizing farmer profits in rural Maharashtra 59 Comparative analysis of segmentation techniques used for segmentation of leukemia cells from blood smear images 60 Analyzing the performance of various machine learning models for fertilizer recommendation 61 Enhancing ocular disease detection: integrating squeeze and excitation networks with transfer learning 62 Enhanced Indoor drone navigation: a robust AprilTag-based self-localization system 63 Optimization and comparative analysis of scaffold designs for tissue engineering using finite element analysis 64 Beyond transformers in healthcare: advancing cross-lingual sentiment analysis of medical reviews with SHAP-based interpretability 65 Breast cancer survival prediction using minority oversampling for machine learning techniques 66 Comparative analysis of radiative heat flux using ASHRAE correlations and ANSYS simulations for cooling applications 67 Hemodynamic analysis for atherosclerotic artery 68 Design and performance analysis of low-cost DIY submarine prototypes: comparing tethered and untethered control systems in shallow water environment 69 Implementing and comparing imputation techniques for incomplete air pollution dataset: Mumbai and Navi Mumbai 70 Design of IoT-based portable vehicular emission detector with location tracker 71 Computer vision for rapid detection of blood cell abnormalities: an edge detection and morphological analysis approach 72 Trade-off analysis of system capacity and energy consumption through spatial multiplexing in wireless multiple input multiple output system 73 Analyzing energy consumption and energy prediction of machine learning models: a case study with Finland electricity consumption dataset 74 Surface EMG-based real-time detection of lower limb activities using machine learning 75 Advancements in small-scale autonomous vehicle systems: a systematic review of perception, localization, and navigation technologies 76 Influence of ply orientation and laminate thickness on composite structures 77 Automatic recloser system for transformer using PLC and SCADA 78 Finite element analysis and optimization of knee brace linkages under varied support and material conditions 79 Stress analysis of functionally graded blood vessel of a human: a case study using finite element analysis 80 IoT-driven digital twin for real-time leakage detection in smart water networks 81 Cotton leaf disease detection system for precision pest management in crops using computer vision and machine learning 82 A comprehensive review of biomaterials for biomedical applications 83 Enhancing healthcare predictions amidst class imbalance: a case study approach 84 Deep learning for wildfire detection using satellite imagery 85 Integrated speed control and condition monitoring of BLDC motors using microcontroller and MATLAB 86 Machine learning-based disease prediction system using symptom analysis 87 A hybrid PoS-PoET consensus mechanism for energy-efficient and scalable blockchain systems 88 Artificial intelligence in liver cirrhosis: a model for stage classification 89 Sustainable housing society: design and prototype 90 Rotten and fresh citrus fruit classification using deep learning 91 Performance assessment of vertical bifacial photovoltaic systems under influence of tilted symmetric flat reflectors 92 A comparative review of air filter materials for indoor air pollution control

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