Suneet K. Gupta

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Energy Consumption

Genetic Algorithm

Top Venues

Comput. Biol. Medicine

Neural Comput. Appl.

Artif. Intell. Rev.

IEEE Trans. Consumer Electron.

Publications

Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
DECACNN: differential evolution-based approach to compress and accelerate the convolution neural network model. Neural Comput. Appl. 36 (6) (2024)
Abdoh M. A. Jabbari, Haneef Khan, Salahaldeen Duraibi, Ishan Budhiraja, Suneet K. Gupta, Marwan Omar
Energy Maximization for Wireless Powered Communication Enabled IoT Devices With NOMA Underlaying Solar Powered UAV Using Federated Reinforcement Learning for 6G Networks. IEEE Trans. Consumer Electron. 70 (1) (2024)
Archana Bathula, Suneet K. Gupta, Suresh Merugu, Luca Saba, Narendra N. Khanna, John R. Laird, Siva Skandha Sanagala, Rajesh Singh, Deepak Garg, Mostafa M. Fouda, Jasjit S. Suri
Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review. Artif. Intell. Rev. 57 (9) (2024)
Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network model. Int. J. Mach. Learn. Cybern. 14 (7) (2023)
Vineet Vishnoi, Prakhar Consul, Ishan Budhiraja, Suneet K. Gupta, Neeraj Kumar
Deep Reinforcement Learning Based Energy Consumption Minimization for Intelligent Reflecting Surfaces Assisted D2D Users Underlaying UAV Network. INFOCOM Workshops (2023)
Vineet Vishnoi, Ishan Budhiraja, Suneet K. Gupta, Neeraj Joshi, Anushka Nehra, Haneef Khan
Deep Reinforcement Learning Based Energy Efficiency Maximization Scheme for Uplink NOMA Enabled D2D Users. GLOBECOM (2023)
Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Pandey, Suneet K. Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu
UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias. IEEE Access 11 (2023)
Vineet Vishnoi, Ishan Budhiraja, Suneet K. Gupta, Neeraj Kumar
A Deep Reinforcement Learning Scheme for Sum Rate and Fairness Maximization Among D2D Pairs Underlaying Cellular Network With NOMA. IEEE Trans. Veh. Technol. 72 (10) (2023)
Mohit Agarwal, Suneet K. Gupta, K. K. Biswas
Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization. Neural Comput. Appl. 35 (16) (2023)
Mohit Agarwal, Suneet K. Gupta, Mainak Biswas, Deepak Garg
Compression and acceleration of convolution neural network: a Genetic Algorithm based approach. J. Ambient Intell. Humaniz. Comput. 14 (10) (2023)
Neha Gupta, Suneet K. Gupta, Rajesh K. Pathak, Vanita Jain, Parisa Rashidi, Jasjit S. Suri
Human activity recognition in artificial intelligence framework: a narrative review. Artif. Intell. Rev. 55 (6) (2022)
Siva Skandha Sanagala, Mohit Agarwal, Kumar Utkarsh, Suneet K. Gupta, Vijaya Kumar Koppula, Jasjit S. Suri
A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data. Neural Comput. Appl. 34 (23) (2022)
Hikmat Yar, Tanveer Hussain, Mohit Agarwal, Zulfiqar Ahmad Khan, Suneet K. Gupta, Sung Wook Baik
Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark. IEEE Trans. Image Process. 31 (2022)
Amer M. Johri, Krishna V. Singh, Laura E. Mantella, Luca Saba, Aditya Sharma, John R. Laird, Kumar Utkarsh, Inder M. Singh, Suneet K. Gupta, Manudeep S. Kalra, Jasjit S. Suri
Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization. Comput. Biol. Medicine 150 (2022)
Jagjit S. Teji, Suneet Jain, Suneet K. Gupta, Jasjit S. Suri
NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death. Comput. Biol. Medicine 147 (2022)
Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. Comput. Biol. Medicine 146 (2022)