Ravi kHATRI
Verified @gmail.com
https://adypu.edu.in/programs/school-of-information-technology/facultyit494@adypu.edu.in
ADYPU Pune , Inurture Education Solution pvt. Ltd
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Software, Computer Science Applications, Hardware and Architecture
FUTURE PROJECTS
Anomaly Detection in Blockchains network
Problem related to Anomaly detection will help future engineers to work on solving the random phishing and prevention against the fraud
Applications Invited
Supply chain Anomaly problems
Distribution among the unutilized resource planning to get performance optimization in long term
Applications Invited
Infrastructure problem solution in Blockchains through data mesh implementation
Applications Invited
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Ravi Khatri and Kuldeep Kumar
Springer Nature Switzerland
Swapnil Soner, R. Litoriya, Ravi Khatri, Ali Asgar Hussain, Shreyas Pagrey and Sunil Kumar Kushwaha
Abstract The Covid 19 (coronavirus) pandemic has become one of the most lethal health crises worldwide. This virus gets transmitted from a person by respiratory droplets when they sneeze or when they speak. According to leading and well-known scientists, wearing face masks and maintaining six feet of social distance are the most substantial protections to limit the virus’s spread. In the proposed model we have used the Convolutional Neural Network (CNN) algorithm of Deep Learning (DL) to ensure efficient real-time mask detection. We have divided the system into two parts—1. Train Face Mask Detector 2. Apply Face Mask Detector—for better understanding. This is a realtime application that is used to discover or detect the person who is wearing a mask at the proper position or not, with the help of camera detection. The system has achieved an accuracy of 99% after being trained with the dataset, which contains around 1376 images of width and height 224×224 and also gives the alarm beep message after the detection of no mask or improper mask usage in a public place.
Ravi Khatri, Ankit Khatri, Abhishek Kumar, and Pankaj Rawat
Springer Nature Singapore
Ankit Khatri and Ravi Khatri
Springer Nature Singapore
Ankit Khatri, Ravi Khatri, Abhishek Kumar, and Kuldeep Kumar
Springer Nature Switzerland
Sapna Patidar and Ravi Khatri
Springer Singapore
Abhishek Kumar and Ravi Khatri
Springer Singapore
Mithun Sahay Shrivastava, Ravi Khatri, and Anand Singh Bisen
IEEE
Vehicular ad-hoc network is growing area of research there are many attacks by which network performance degrade there are lots of strategy to prevent and detect those attacks. In this paper, we study about vehicular network and denial of service (DOS) attack. In our proposed work, we offer a hybrid approach for preventing our network from attacks. The productivity of our work we proposed by results which is evaluated in NS-2.35.
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
AN ARTIFICIAL INTELLIGENCE (AI) INCORPORATED BLOCKCHAIN SYSTEM TO PROMOTE SECURE SUPPLY CHAIN SOLUTIONS
Swapnil Soner, Ali Asgar Hussain, Ravi Khatri, Sandeep Mathariya, Sunil Kumar Kushwaha, Trishna Panse, Dr. Prashant Panse
Engineering and Technology Published
Filed 2022-08-22 Published 2022-09-09