Conditional Generative Adversarial Networks for SAR-based Ocean Feature Monitoring

P Gajjar, N Mehta, M Patel, P Shah, A Das - Procedia Computer Science, 2024 - Elsevier
Ocean surface monitoring, detection of oil spills, and accurate maritime vehicle detection is
an important set of problem statements associated with ocean pollution monitoring. This …

Possible heuristics and a survey on intelligent software testing

P Gajjar, A Saxena, M Garg, P Shah… - Available at SSRN …, 2023 - papers.ssrn.com
Abstract Techniques based on Machine Learning (ML) and various Artificial Intelligence (AI)
algorithms are presently effectively deployed when dealing with real-world situations such …

A Comparative Study on the Modern Deep Learning Architectures For Predicting Nutritional Deficiency in Rice Plants

H Senjaliya, P Gajjar, V Dodia, P Shah… - 2023 IEEE IAS …, 2023 - ieeexplore.ieee.org
A robust algorithm that is capable of predicting nutritional deficiency in rice plantations is
vital for enhancing the current status of associated agriculture. The research presented in …

Leveraging twin networks for land use land cover classification

Information related to land use land cover (LULC) plays an instrumental role in land
management and planning. With the advent of the field of machine learning, accurate …