NM
Nilesh Modi
Dr. Babasaheb Ambedkar Open University
Research areas: Engineering · Electrical and Electronic Engineering · VLSI and FPGA Design Techniques · Embedded Systems Design Techniques · Low-power high-performance VLSI design
Employment
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Dr. Babasaheb Ambedkar Open University Professor and Director2017 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (75)
- Foundation Models and Generative AI for Cross-Modality Medical Imaging and Early Disease Prediction Save
- A Novel Approach to Solve Network Security, Cryptography Problems Using Genetic Algorithm Save
- Image Processing using Adaptive Neuro Inference Systems Save
- MH-DSCEP: Multi-hop Dynamic and Stable Cluster-Based Energy-Efficient Protocol for WSN Save
- Problems with PIR sensors in smart lighting+ security solution and solutions of problems Save
- RAM: rotating angle method of clustering for heterogeneous-aware wireless sensor networks Save
- Applying m-Mutation Operator in Genetic Algorithm to Solve Permutation Problems Save
- Design and Application of m-Mutation Operator in Genetic Algorithm to Solve Traveling Salesman Problem Save
- Enhancing Security of Android based Smart Devices Save
- Enhancing Security of Android-Based Smart Devices: Preventive Approach Save
- IoT Based Smart Lighting System using PIR Sensors, Arduino Uno and Thingspeakcloud + Chat Bot and Dashboard to Monitor Home Remotely Save
- Multi Relational Data Mining Classification Processions--A Survey Save
- Object Detection for Driving Assistance in Autonomous Defence Vehicle Save
- Problems with PIR Sensors in Smart Lighting+ Security Solution and Solutions Save
- RAM: Rotating Angle Method of Clustering for Heterogeneous-Aware Save
- Smart Lighting Solution using Clusters of Sensors (Problems with Limited Sensors) and Analyzing Networks for Smart Lighting Solution Save
- MSECHP: more stable election of cluster head protocol for heterogeneous wireless sensor network Save
- Proceedings of International Conference on Communication and Networks: ComNet 2016 Save
- A comparative analysis of feature selection methods and associated machine learning algorithms on Wisconsin breast cancer dataset (WBCD) Save
- A comprehensive study on periodicity mining algorithms Save