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ORCIDSuneet K. Gupta 0001
Person information
- affiliation: Bennett University, Greater Noida, India
Other persons with the same name
- Suneet K. Gupta (aka: Suneet Kumar Gupta) — disambiguation page
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2020 – today
- 2024
[j28]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): 238 (2024)- [j27]Ashish Kumar, Vivekanand Aelgani, Rubeena Vohra, Suneet K. Gupta, Mrinalini Bhagawati, Sudip Paul, Luca Saba, Neha Suri, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu, Jasjit S. Suri:
Artificial intelligence bias in medical system designs: a systematic review. Multim. Tools Appl. 83(6): 18005-18057 (2024) - [j26]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): 2665-2681 (2024) - [j25]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): 3926-3939 (2024) - 2023
- [j24]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: 595-645 (2023) - [j23]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): 13387-13397 (2023) - [j22]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): 2367-2383 (2023) - [j21]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): 11833-11846 (2023) - [j20]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): 13506-13522 (2023) - [j19]Sanjeev Kumar, Suneet Kumar Gupta, Umesh Gupta, Mohit Agarwal:
Non-overlapping block-level difference-based image forgery detection and localization (NB-localization). Vis. Comput. 39(12): 6029-6040 (2023) - [c10]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: 4728-4734 - [c9]Dibyanarayan Hazra, Suneet Kumar Gupta, Umesh Gupta, Mohit Agarwal:
Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset. ICCTA 2023: 67-71 - [c8]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: 1-6 - [c7]Amit Sharma, Dibyanarayan Hazra, Suneet Kumar Gupta, Riti Kushwaha, Divya Kumari:
Potato Leaf Disease Classification Using Federated Learning. RTIP2R (1) 2023: 191-201 - 2022
- [j18]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): 4755-4808 (2022) - [j17]Siva Skandha Sanagala, Andrew Nicolaides, Suneet K. Gupta, Vijaya Kumar Koppula, Luca Saba, Amer M. Johri, Manudeep S. Kalra, Jasjit S. Suri:
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework. Comput. Biol. Medicine 141: 105131 (2022) - [j16]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: 105571 (2022) - [j15]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: 105639 (2022) - [j14]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: 106018 (2022) - [j13]Sanjeev Kumar, Suneet K. Gupta, Manjit Kaur, Umesh Gupta:
VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification. J. Vis. Commun. Image Represent. 89: 103644 (2022) - [j12]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): 20915-20937 (2022) - [j11]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: 6331-6343 (2022) - [c6]Bharath Sudharsan, Panchakarla S. Rahul, Piyush Yadav, Suneet Kumar Gupta, Vimal Kumar, Duc-Duy Nguyen, Muhammad Intizar Ali, John G. Breslin:
RIS-IoT: Towards Resilient, Interoperable, Scalable IoT. ICCPS 2022: 296-297 - 2021
- [j10]Luca Saba, Mohit Agarwal, Anubhav Patrick, Anudeep Puvvula, Suneet K. Gupta, Alessandro Carriero, John R. Laird, George D. Kitas, Amer M. Johri, Antonella Balestrieri, Zeno Falaschi, Alessio Pasche, Vijay Viswanathan, Ayman El-Baz, Iqbal Alam, Abhinav Jain, D. Subbaram Naidu, Ronald Oberleitner, Narendra N. Khanna, Arindam Bit, Mostafa Fatemi, Azra Alizad, Jasjit S. Suri:
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. Int. J. Comput. Assist. Radiol. Surg. 16(3): 423-434 (2021) - [j9]Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Mainak Biswas, Luca Saba, Arindam Bit, Gopal S. Tandel, Mohit Agarwal, Anubhav Patrick, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, D. Subbaram Naidu:
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. Comput. Biol. Medicine 130: 104210 (2021) - [j8]Mohit Agarwal, Luca Saba, Suneet K. Gupta, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Pietro Danna, Ayman El-Baz, D. Subbaram Naidu, Jasjit S. Suri:
A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort. J. Medical Syst. 45(3): 28 (2021) - [j7]Mohit Agarwal, Luca Saba, Suneet K. Gupta, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Aditya M. Sharma, Vijay Viswanathan, George D. Kitas, Andrew Nicolaides, Jasjit S. Suri:
Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application. Medical Biol. Eng. Comput. 59(3): 511-533 (2021) - [j6]Mohit Agarwal, Suneet K. Gupta, K. K. Biswas:
A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant. Sustain. Comput. Informatics Syst. 30: 100473 (2021) - [j5]Luca Saba, Siva Skandha Sanagala, Suneet K. Gupta, Vijaya Kumar Koppula, John R. Laird, Vijay Viswanathan, Miguel J. Sanches, George D. Kitas, Amer M. Johri, Neeraj Sharma, Andrew Nicolaides, Jasjit S. Suri:
A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j4]Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Klaudija Viskovic, Neha Suri, Azra Alizad, Ayman El-Baz, Luca Saba, Mostafa Fatemi, D. Subbaram Naidu:
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE J. Biomed. Health Informatics 25(11): 4128-4139 (2021) - [c5]Mohit Agarwal, Suneet K. Gupta, K. K. Biswas:
Plant Leaf Disease Segmentation Using Compressed UNet Architecture. PAKDD (Workshops) 2021: 9-14 - [c4]Mohit Agarwal, Suneet K. Gupta, K. K. Biswas:
A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach. PAKDD (3) 2021: 272-284 - [c3]Mohammad Monirujjaman Khan, Rahat Anwar, Farhan Amar Tanve, Dewan Shakil, Manas Banik, Suneet Kumar Gupta:
Development of Web and Mobile Based Smart Online Healthcare System. UEMCON 2021: 365-370 - [c2]Koushik Sutradhar, Sourav Sutradhar, Iqbal Ahmed Jhimel, Suneet Kumar Gupta, Mohammad Monirujjaman Khan:
Stock Market Prediction using Recurrent Neural Network's LSTM Architecture. UEMCON 2021: 541-547 - 2020
- [j3]Siva Skandha Sanagala, Suneet K. Gupta, Luca Saba, Vijaya Kumar Koppula, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, Aditya M. Sharma, Vijay Viswanathan, Vijay S. Rathore, Monika Turk, Jasjit S. Suri:
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0. Comput. Biol. Medicine 125: 103958 (2020) - [j2]Mohit Agarwal, Suneet K. Gupta, K. K. Biswas:
Development of Efficient CNN model for Tomato crop disease identification. Sustain. Comput. Informatics Syst. 28: 100407 (2020)
2010 – 2019
- 2019
- [c1]Siva Skandha Sanagala, Suneet K. Gupta, Vijaya Kumar Koppula, Mohit Agarwal:
A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s). ICMLA 2019: 1382-1387 - 2016
- [j1]Suneet K. Gupta, Rabins Porwal:
Appropriate Contrast Enhancement Measures for Brain and Breast Cancer Images. Int. J. Biomed. Imaging 2016: 4710842:1-4710842:8 (2016)
Coauthor Index
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