Mohit Agarwal

According to our database, Mohit Agarwal authored at least 25 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FCDC: Firefly optimization algorithm based compression of deep CNN model with explainability.

Lopamudra Mohanty, Mohit Agarwal, Vivek Mehta

Clust. Comput., December, 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, Jasjit S. Suri

Multim. Tools Appl., March, 2025

Construction of hyperspectral images from RGB images via CNN.

Vibhuti Dabas, Garima Jaiswal, Mohit Agarwal, Ritu Rani, Arun Sharma

Multim. Tools Appl., March, 2025

2024

A comprehensive and analytical review of text clustering techniques.

Vivek Mehta, Mohit Agarwal, Rohit Kumar Kaliyar

Int. J. Data Sci. Anal., September, 2024

DECACNN: differential evolution-based approach to compress and accelerate the convolution neural network model.

Mohit Agarwal, Suneet K. Gupta, K. K. Biswas

Neural Comput. Appl., February, 2024

The efficient classification of breast cancer on low-power IoT devices: A study on genetically evolved U-Net.

Mohit Agarwal, Amit Kumar Dwivedi, Dibyanarayan Hazra, Preeti Sharma, Suneet Kumar Gupta, Deepak Garg

Comput. Biol. Medicine, 2024

Federated Learning With Dataset Splitting and Weighted Mean Using Particle Swarm Optimization.

Mohit Agarwal, Garima Jaiswal, Rohit Kumar Kaliyar, Akansha Singh, Krishna Kant Singh, Sameh S. Askar, Mohamed Abouhawwash

IEEE Access, 2024

Enhanced Prediction of Lung Cancer Using Machine Learning.

Ankush Goyal, Rajesh Kumar Shrivastava, Mohit Agarwal, Neeraj Joshi

Proceedings of the 7th International Conference on Contemporary Computing and Informatics, 2024

2023

Non-overlapping block-level difference-based image forgery detection and localization (NB-localization).

Sanjeev Kumar, Suneet Kumar Gupta, Umesh Gupta, Mohit Agarwal

Vis. Comput., December, 2023

Compression and acceleration of convolution neural network: a Genetic Algorithm based approach.

Mohit Agarwal, Suneet K. Gupta, Mainak Biswas, Deepak Garg

J. Ambient Intell. Humaniz. Comput., October, 2023

Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network model.

Mohit Agarwal, Suneet K. Gupta, K. K. Biswas

Int. J. Mach. Learn. Cybern., July, 2023

Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization.

Mohit Agarwal, Suneet K. Gupta, K. K. Biswas

Neural Comput. Appl., June, 2023

Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset.

Dibyanarayan Hazra, Suneet Kumar Gupta, Umesh Gupta, Mohit Agarwal

Proceedings of the 9th International Conference on Computer Technology Applications, 2023

2022

Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark.

Hikmat Yar, Tanveer Hussain, Mohit Agarwal, Zulfiqar Ahmad Khan, Suneet K. Gupta, Sung Wook Baik

IEEE Trans. Image Process., 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, Kumar Utkarsh, Suneet K. Gupta, Vijaya Kumar Koppula, Jasjit S. Suri

Neural Comput. Appl., 2022

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, 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

Comput. Biol. Medicine, 2022

2021

A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant.

Mohit Agarwal, Suneet K. Gupta, K. K. Biswas

Sustain. Comput. Informatics 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, 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

Medical Biol. Eng. Comput., 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, Luca Saba, Suneet K. Gupta, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Pietro Danna, Ayman El-Baz, D. Subbaram Naidu, Jasjit S. Suri

J. Medical Syst., 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, 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

Comput. Biol. Medicine, 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, 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

Int. J. Comput. Assist. Radiol. Surg., 2021

A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach.

Mohit Agarwal, Suneet K. Gupta, K. K. Biswas

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Plant Leaf Disease Segmentation Using Compressed UNet Architecture.

Mohit Agarwal, Suneet K. Gupta, K. K. Biswas

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

2020

Development of Efficient CNN model for Tomato crop disease identification.

Mohit Agarwal, Suneet K. Gupta, K. K. Biswas

Sustain. Comput. Informatics Syst., 2020

2019

A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s).

Siva Skandha Sanagala, Suneet K. Gupta, Vijaya Kumar Koppula, Mohit Agarwal

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019