A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s). - Siva Skandha Sanagala; Suneet K. Gupta 001; Vijaya Kumar Koppula; Mohit Agarwal 003 (ICMLA, 2019)

Development of Efficient CNN model for Tomato crop disease identification. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (Sustain. Comput. Informatics Syst., 2020)

Plant Leaf Disease Segmentation Using Compressed UNet Architecture. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (PAKDD (Workshops), 2021)

A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (PAKDD (3), 2021)

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. - Luca Saba; Mohit Agarwal 003; Anubhav Patrick; Anudeep Puvvula; Suneet K. Gupta 001; Alessandro Carriero; John R. Laird; George D. Kitas; Amer M. Johri; Antonella Balestrieri; Zeno Falaschi; Alessio Pasche; et al. (Int. J. Comput. Assist. Radiol. Surg., 2021)

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. - Jasjit S. Suri; Sushant Agarwal; Suneet K. Gupta 001; Anudeep Puvvula; Mainak Biswas; Luca Saba; Arindam Bit; Gopal S. Tandel; Mohit Agarwal 003; Anubhav Patrick; Gavino Faa; Inder M. Singh; et al. (Comput. Biol. Medicine, 2021)

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. - Mohit Agarwal 003; Luca Saba; Suneet K. Gupta 001; Alessandro Carriero; Zeno Falaschi; Alessio Pasche; Pietro Danna; Ayman El-Baz; D. Subbaram Naidu; Jasjit S. Suri (J. Medical Syst., 2021)

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. - Mohit Agarwal 003; Luca Saba; Suneet K. Gupta 001; Amer M. Johri; Narendra N. Khanna; Sophie Mavrogeni; John R. Laird; Gyan Pareek; Martin Miner; Petros P. Sfikakis; Athanasios Protogerou; Aditya M. Sharma 001; et al. (Medical Biol. Eng. Comput., 2021)

A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (Sustain. Comput. Informatics Syst., 2021)

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. - Mohit Agarwal 003; Sushant Agarwal; Luca Saba; Gian Luca Chabert; Suneet K. Gupta 001; Alessandro Carriero; Alessio Pasche; Pietro Danna; Armin Mehmedovic; Gavino Faa; Saurabh Shrivastava; Kanishka Jain; et al. (Comput. Biol. Medicine, 2022)

A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data. - Siva Skandha Sanagala; Mohit Agarwal 003; Kumar Utkarsh; Suneet K. Gupta 001; Vijaya Kumar Koppula; Jasjit S. Suri (Neural Comput. Appl., 2022)

Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark. - Hikmat Yar; Tanveer Hussain; Mohit Agarwal 003; Zulfiqar Ahmad Khan; Suneet K. Gupta 001; Sung Wook Baik (IEEE Trans. Image Process., 2022)

Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset. - Dibyanarayan Hazra; Suneet Kumar Gupta 001; Umesh Gupta; Mohit Agarwal 003 (ICCTA, 2023)

Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (Neural Comput. Appl., 2023)

Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network model. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (Int. J. Mach. Learn. Cybern., 2023)

Compression and acceleration of convolution neural network: a Genetic Algorithm based approach. - Mohit Agarwal 003; Suneet K. Gupta 001; Mainak Biswas; Deepak Garg 002 (J. Ambient Intell. Humaniz. Comput., 2023)

Non-overlapping block-level difference-based image forgery detection and localization (NB-localization). - Sanjeev Kumar; Suneet Kumar Gupta 001; Umesh Gupta; Mohit Agarwal 003 (Vis. Comput., 2023)

Federated Learning With Dataset Splitting and Weighted Mean Using Particle Swarm Optimization. - Mohit Agarwal 003; Garima Jaiswal; Rohit Kumar Kaliyar; Akansha Singh; Krishna Kant Singh; Sameh S. Askar; Mohamed Abouhawwash (IEEE Access, 2024)

The efficient classification of breast cancer on low-power IoT devices: A study on genetically evolved U-Net. - Mohit Agarwal 003; Amit Kumar Dwivedi; Dibyanarayan Hazra; Preeti Sharma; Suneet Kumar Gupta; Deepak Garg 002 (Comput. Biol. Medicine, 2024)

DECACNN: differential evolution-based approach to compress and accelerate the convolution neural network model. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (Neural Comput. Appl., 2024)

A comprehensive and analytical review of text clustering techniques. - Vivek Mehta; Mohit Agarwal 003; Rohit Kumar Kaliyar (Int. J. Data Sci. Anal., 2024)

Construction of hyperspectral images from RGB images via CNN. - Vibhuti Dabas; Garima Jaiswal; Mohit Agarwal 003; Ritu Rani; Arun Sharma 002 (Multim. Tools Appl., 2025)

Pruning techniques for artificial intelligence networks: a deeper look at their engineering design and bias: the first review of its kind. - Lopamudra Mohanty; Ashish Kumar; Vivek Mehta; Mohit Agarwal 003; Jasjit S. Suri (Multim. Tools Appl., 2025)