N
Nilesh Patel
Researcher at University of Rochester
Publications - 68
Citations - 1191
Nilesh Patel is an academic researcher from University of Rochester. The author has contributed to research in topics: Motion estimation & Motion compensation. The author has an hindex of 17, co-authored 67 publications receiving 858 citations. Previous affiliations of Nilesh Patel include Oakland University & Universidade Federal de Juiz de Fora.
Papers
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Journal ArticleDOI
Renewable energy: Present research and future scope of Artificial Intelligence
TL;DR: In this paper, the authors summarized the review of reviews and the state-of-the-art research outcomes related to wind energy, solar energy, geothermal energy, hydro energy, ocean energy, bioenergy, hydrogen energy, and hybrid energy.
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Comprehensive Overview of Low Voltage Ride Through Methods of Grid Integrated Wind Generator
TL;DR: This ready-reckoner paper critically reviews and classifies more than 190 research papers on LVRT issues, practices, and available technologies for grid integration in wind energy systems, and it aims to be a quick reference for the researchers, designers, manufacturers, and engineers working in the same field.
Journal ArticleDOI
Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines
Neeraj Gupta,Mahdi Khosravy,Nilesh Patel,Nilanjan Dey,Saurabh Gupta,Saurabh Gupta,Hemant Darbari,Rubén González Crespo +7 more
TL;DR: This research work aims at presenting a bi-level genetic algorithm approach of an optimized data analytic AI technique for monitoring the health of the agriculture vehicles which can be economically utilized on smartphone end-devices using the built-in microphones instead of expensive IoT sensors.
Patent
Method and system for simplified recordkeeping including transcription and voting based verification
Nilesh Patel,Mark H. Schwartz +1 more
TL;DR: In this paper, a simplified method of recordkeeping for transaction documents is proposed. But the method requires the document image of a transaction document to be associated with a data capture template based on the document type.
Journal ArticleDOI
A Bi-Level Evolutionary Optimization for Coordinated Transmission Expansion Planning
TL;DR: Comparison results show that bi-level GA-RW optimization minimizes the investment with increasing power system reliability and Pareto-optimal solution is achieved.