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How has Rajat Amat's publication output changed over time?
ScholarIQpublication output · 2023–2026
Output declined83% over the shown period — from 6 works in 2023 to 1 in 2026.
6
4
1
202320242026
What are the most-cited papers on Rajat Amat?
ScholarIQmost cited works
Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101
Santi Kumari Behera, Shishir Dash, Rajat Amat, Prabira Kumar Sethy
International Journal of Systems Assurance Engineering and Management. 202313 Citations
A methodical analysis of deep learning techniques for detecting Indian lentils
Nabin Kumar Naik, Prabira Kumar Sethy, Santi Kumari Behera, Rajat Amat
Journal of Agriculture and Food Research. 202312 CitationsOPEN ACCESS
Evaluation of optimization techniques with support vector machine for identification of dry beans
Nabin Kumar Naik, Prabira Kumar Sethy, Rajat Amat, Santi Kumari Behera, Preesat Biswas
Indonesian Journal of Electrical Engineering and Computer Science. 20238 CitationsOPEN ACCESS
Smart Accident Detection and Emergency Notification System with GPS and GSM Integration
Rajat Amat, Sunil Mallick, Priyanka Suna
International Journal of Recent Technology and Engineering (IJRTE). 20237 CitationsOPEN ACCESS
Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization
Prabira Kumar Sethy, Laxminarayana Korada, Santi Kumari Behera, Akshay Shirole, Rajat Amat, Aziz Nanthaamornphong
Systems and Soft Computing. 20247 CitationsOPEN ACCESS
Related on ScholarIQ
Indian Institute of Technology Guwahati
Institution
Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101
Paper
A methodical analysis of deep learning techniques for detecting Indian lentils
Paper
Evaluation of optimization techniques with support vector machine for identification of dry beans
Paper
Smart Accident Detection and Emergency Notification System with GPS and GSM Integration
Paper
Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization
Paper