Jaiprakash Verma
VIDWAN ID: 348709

Dr Jaiprakash Verma

Male Doctor of Philosophy
Associate Professor | Institute of Technology
Nirma University (2018 - 2006)
Gujarat
Expertise: Computer Science Information Systems
80 Publications
0 Projects
511 Scopus Citations
409 CrossRef
11 Years 10 Months Total Experience
Publications
80 Total
Articles
23
Books
8
Chapters
20
Proceedings
29
Activity

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Scopus Scopus
511 Citations
13 h-index
CrossRef CrossRef
409 Citations
12 h-index
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Professional Recognition

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Personal Details

Doctor of Philosophy
2018
N/A
Associate Professor
Apr 2018 – Jul 2006
Nirma University | Institute of Technology
Assistant Professor
Jul 2006 – Apr 2018
Nirma University
Engineering and Technology
Computer Science Information Systems

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Scholarly Work

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Scholarly Publications

Blockchain based framework for document authentication and management of daily business records

Book Chapter
Year: 2021. Pages: 497-517 .
Authors: Prakrut Chauhan; Jai Prakash Verma; Swati Jain; Rohit Rai

AI Based Prediction for Heart Disease: A Comparative Analysis and an Improved Machine Learning Approach

Conference Paper
Year: 2022.
Authors: Jay Raval; Jai Prakash Verma; Sardar N. M. Islam; Rachna Jain; Narina Thakur

Number Plate Detection Using Drone Surveillance

Conference Paper
Year: 2022.
Authors: Swati Jain; Shaili Patel; Avi Mehta; Jai Prakash Verma

Multi-object Detection: A Social Distancing Monitoring System

Book Chapter
Year: 2023. Volume: 2023 , Pages: 221-248 .
Authors: Bhavyang Dave; Jai Prakash Verma; Rachna Jain; Anand Nayyar

Single-Object Detection from Video Streaming

Book Chapter
Year: 2023. Volume: 2023 , Pages: 1-21 .
Authors: Akshay Patel; Jai Prakash Verma; Rachna Jain; Anand Nayyar

Geospatial big data analysis using neural networks

Book Chapter
Year: 2023. Pages: 201-212 .

COVID Detection from Chest X-Ray Images Using Deep Learning Model

Conference Paper
Year: 2023. Volume: 664 LNNS , Pages: 443-459 .
Authors: Parth Nimbadkar; Dhruv Patel; Aayush Panchal; Jai Prakash Verma; Jigna Patel

Stock Price Prediction for Market Forecasting Using Machine Learning Analysis

Conference Paper
ECS Transactions. Year: 2023. Volume: 664 LNNS , Pages: 477-492 .
Authors: Vivek Kumar Prasad; Darshan Savaliya; Sakshi Sanghavi; Vatsal Sakariya; Pronaya Bhattacharya; Jai Prakash Verma; Rushabh Shah; Sudeep Tanwar
Showing 1 to 8 of 80 publications