Dr. Mithun B.Patil
Nagesh Karajagi Orchid College of Engineering and Technology, Visvesvaraya Technological University, Basaveshwara Engineering College, Dayananda Sagar College of Engineering
0000-0001-7741-3645
About
Dr. Mithun B. Patil is a distinguished academic and researcher working in the Department of Computer Science and Engineering at N K Orchid College of Engineering & Technology, located in Solapur, Maharashtra, India. His primary areas of research include Machine Learning, Deep Learning, and Heterogeneous Wireless Networks. Dr. Patil earned his Doctorate in Computer Science and Engineering from Visvesvaraya Technological University in Belagavi, Karnataka, India.
Throughout his career, Dr. Patil has made significant contributions to his field, with over 31 research articles published in reputable International and National Journals, all indexed by internationally recognized databases. In addition to his extensive publication record, he holds more than 10 patents at both national and international levels, showcasing his innovative contributions to technology and engineering.
Employment
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Nagesh Karajagi Orchid College of Engineering and Technology Associate Professor2011 - Present
Education
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Visvesvaraya Technological University Ph.D2016 - 2022
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Basaveshwara Engineering College M.tech2009 - 2011
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Dayananda Sagar College of Engineering B.Tech2005 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- Drought Prediction in Agriculture with Support Vector Neural Networks: Enhancing Accuracy Save
- Multimodal emotion recognition model via hybrid model with improved feature level fusion on facial and EEG feature set Save
- Challenges and Advancement in Federated Recommendation System: A Comprehensive Review Save
- Enhanced Context-Based Stock Recommendation Integrating News Classification and Technical Indicators Save
- Enhancing Cross-Linguistic Image Caption Generation with Indian Multilingual Voice Interfaces using Deep Learning Techniques Save
- Frequent CNN based ensembling for MRI classification for Abnormal Brain Growth detection Save
- Revolutionizing Emotion-Driven Sentiment Analysis using Federated Learning on Edge Devices for Superior Privacy and Performance Save
- Revolutionizing Interaction: Python-Driven Speech Assistant Powered by Long Short-Term Memory (LSTM) Save
- Security, Privacy, and Communication Efficiency in Federated Learning: Issues and Perspectives Save
- Utilising SkyScript for Open-Vocabulary Categorization, Extraction, and Captioning to Enhance Multi-Modal Tasks in Remote Sensing Save