Proceedings of 6th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
Springer Verlag, Singapore
978-981-95-5084-5 (ISBN)
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Dr. Vinit Kumar Gunjan is an associate professor in Department of Computer Science & Engineering at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad). An active researcher, published research papers in IEEE, Elsevier & Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database. He was awarded with the prestigious Early Career Research Award in the year 2016 by Science Engineering Research Board, Department of Science & Technology Government of India. He was involved as an organizer in many technical and non-technical workshops, seminars and conferences of IEEE and Springer. During the tenure, he had an honour of working with top leaders of IEEE and awarded with best IEEE Young Professional award in 2017 by IEEE Hyderabad Section. Dr. Jacek M. Zurada (SM’85, F’96, LF’14) is a professor of Electrical and Computer Engineering and director of the Computational Intelligence Laboratory at the University of Louisville, Louisville, Kentucky, USA, where he served as the department chair and a distinguished university scholar. He was a professor at Princeton University, Northeastern University, Auburn University, the National University of Singapore, Nanyang Technological University in Singapore, Chinese University of Hong Kong, the University of Chile, Santiago, Toyohashi University of Technology, Japan, the University of Stellenbosch, South Africa, the University of Marie-Curie, Paris, France, and was a postdoctoral fellow at the Swiss Federal Institute of Technology, Zurich, Switzerland.
Assessment Of Improvising Breast Cancer Detection Through Machine Learning And Cross-Validation Methods.- A Specific Processing of Device to Device Communication Through Multihop For Equalizing and Minimizing Sar.- Design of Modified Booth Multiplier Using Reversible Logic Gates.- Impact of Soil Type on Sunflower Growth in Punjab: SPCC and Google Colab Analysis.- Multi-Exposure Image Fusion Using Multi Scale Decomposition .- Diabetes Prediction in Healthcare with Ensemble Learning.- Multiscale Modeling of Piezoelectric Polycrystals: Impact of Microstructure and Domain Arrangement on Macroscopic Properties.- Application of Classification and Prevention Methods for Image Analysis with the CNN Model and Its Versions.- The reduction of Hadoop map while maintain-ing the privacy and balancing dynamic demand across data notes.- Early Identification of diabetic retinopathy from Ophthalmic Images using multi-scale feature fusion network built on MobileNetV3.- Advanced Deep Learning Techniques for Parkinson’s Disease Diagnosis Using Voice Biomarkers.
| Erscheint lt. Verlag | 16.3.2026 |
|---|---|
| Reihe/Serie | Lecture Notes in Networks and Systems |
| Zusatzinfo | 35 Illustrations, color; 35 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Artificial Intelligence • Data Science • ICMISC 2025 Proceedings • internet of things • machine learning • neural network • smart cities |
| ISBN-10 | 981-95-5084-X / 981955084X |
| ISBN-13 | 978-981-95-5084-5 / 9789819550845 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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