Technologies for Energy, Agriculture, and Healthcare [Pehme köide]

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 labVIEWs
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
Alzheimers 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

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 Bachelors degree from College of Engineering, Pune, and a Masters 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