MN
Mohankumar N
Symbiosis Institute of Technology
Research areas: Engineering · Electrical and Electronic Engineering · Advancements in Semiconductor Devices and Circuit Design · GaN-based semiconductor devices and materials · Semiconductor materials and devices
0000-0002-9766-8802
Employment
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Symbiosis Institute of Technology Research Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (199)
- Quantum-Secure Communication for Future Cyber-Physical and IoT Systems: A Systematic Review of Classical to Learning Approaches Save
- DeepRetinaNet: An Automated AI-Based Framework for Retinal Disease Diagnosis Save
- Convolutional neural network based encoder-decoder for efficient real-time object detection Save
- Hybrid semantic model based on machine learning for sentiment classification of consumer reviews Save
- Evaluating tumor heterogeneity in oncology with genomic-imaging and cloud-based genomic algorithms Save
- Advancing chronic pain relief cloud-based remote management with machine learning in healthcare Save
- Deep learning for infectious disease surveillance integrating internet of things for rapid response Save
- Deep learning for skin melanoma classification using dermoscopic images in different color spaces Save
- AI and IoT-Driven Optimization of Solar Thermal Collectors for Industrial Heat Applications Save
- AI-Driven Sleep Health Recommendations Using Deep Learning for Personalized Medicine Save
- AI-Powered Real-Time Big Data Analytics for ICU Resource Management Save
- Advanced Geriatric Rehabilitation Monitoring with IoT and Logistic Regression Approach Save
- Advanced IoT-Embedded Culinary Intelligence Using RNN Model for Smart Kitchen Solutions with Food Waste Reduction Features Save
- Advanced Time Series Load Forecasting for Distributed Energy Resources with IoT and Deep Learning Save
- Advancing NICU Monitoring with IoT and Real-Time AI Analytics Save
- An Optimized Hybrid CNN-LSTM Model for Epileptic Seizure Detection and Prediction Save
- Analytical model for DG-AlGaN/GaN MOS-HEMT for sensitive analysis of pH analytes and charged biomolecules Save
- Applying Johnson's Algorithm for Efficient Shortest Path Analysis in Big Data Save
- Creating Market Differentiation with Blue Ocean Strategy for Product Roadmap Success Save
- Design and Simulation of advanced boron-doped GaN cap layer on AlGaN/GaN MOSHEMTs for enhanced label-free biosensing applications Save