Oil spill detection over ocean surface using deep learning: a comparative study N Mehta, P Shah, P Gajjar Marine Systems & Ocean Technology 16, 213-220, 2021 | 7 | 2021 |
E-mixup and siamese networks for musical key estimation P Gajjar, P Shah, H Sanghvi International Conference on Ubiquitous Computing and Intelligent Information …, 2021 | 6 | 2021 |
Path Planning and Static Obstacle Avoidance for Unmanned Aerial Systems P Gajjar, V Dodia, S Mandaliya, P Shah, V Ukani, M Shukla International Conference on Advancements in Smart Computing and Information …, 2022 | 3 | 2022 |
Optimization of rocker-bogie mechanism using heuristic approaches H Senjaliya, P Gajjar, B Vaghasiya, P Shah, P Gujarati arXiv preprint arXiv:2209.06927, 2022 | 3 | 2022 |
Ocean surface pollution detection: Applicability analysis of V-Net with data augmentation for oil spill and other related ocean surface feature monitoring N Mehta, P Shah, P Gajjar, V Ukani Communication and Intelligent Systems: Proceedings of ICCIS 2021, 11-25, 2022 | 3 | 2022 |
Quadruplet loss and SqueezeNets for Covid-19 detection from Chest-X rays P Gajjar, N Mehta, P Shah Computer Science Journal of Moldova 89 (2), 214-222, 2022 | 3 | 2022 |
Triplet loss for Chromosome Classification P Gajjar, P Shah, A Vegada, J Savalia Journal of Innovative Image Processing 4 (1), 1-15, 2022 | 3 | 2022 |
Liquidt: stock market analysis using liquid time-constant neural networks P Gajjar, A Saxena, K Acharya, P Shah, C Bhatt, TT Nguyen International Journal of Information Technology 16 (2), 909-920, 2024 | 2 | 2024 |
Applicability analysis of attention U-Nets over vanilla variants for automated ship detection P Gajjar, M Garg, V Shah, P Shah, A Das Reports on Geodesy and Geoinformatics 114, 2022 | 2 | 2022 |
Comparative Analysis of Deep Learning Architectures and Vision Transformers for Musical Key Estimation M Garg, P Gajjar, P Shah, M Shukla, B Acharya, VC Gerogiannis, ... Information 14 (10), 527, 2023 | 1 | 2023 |
Possible heuristics and a survey on intelligent software testing P Gajjar, A Saxena, M Garg, P Shah, M Shukla Available at SSRN 4398331, 2023 | 1 | 2023 |
Copy Move Forgery Detection: The Current Implications and Contemporary Practices P Gajjar, A Saxena, H Shah, N Kikani, K Lakhani, P Shah, A Sharma, ... Journal of Physics: Conference Series 2325 (1), 012050, 2022 | 1 | 2022 |
Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks P Gajjar, A Chiejina, VK Shah arXiv preprint arXiv:2402.09710, 2024 | | 2024 |
An Empirical Analysis of Diffusion, Autoencoders, and Adversarial Deep Learning Models for Predicting Dementia Using High-Fidelity MRI P Gajjar, M Garg, S Desai, H Chhinkaniwala, HA Sanghvi, RH Patel, ... IEEE Access, 2024 | | 2024 |
Security and Privacy Solutions for Healthcare Informatics P Gajjar, S Desai, A Vegada, Shah, T Pooja, Vyas Federated Learning for Internet of Medical Things: Concepts, Paradigms, and …, 2023 | | 2023 |
Empirical Analysis of Hybrid Classical Variational Quantum Neural Networks for Target Classification from SAR Data P Gajjar, A Saxena, D Ranpariya, P Shah, A Das Machine Intelligence Techniques for Data Analysis and Signal Processing …, 2023 | | 2023 |
A Comparative Study on the Modern Deep Learning Architectures For Predicting Nutritional Deficiency in Rice Plants H Senjaliya, P Gajjar, V Dodia, P Shah, K Bardhan, M Shukla 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET), 1-6, 2023 | | 2023 |
Enhancing Graph Convolutional Networks with Variational Quantum Circuits for Drug Activity Prediction P Gajjar, Z Zuo, Y Li, L Zhao Congress on Intelligent Systems, 789-800, 2022 | | 2022 |