Mohit Agarwal
Orcid: 0000-0001-7216-3886Affiliations:
- Bennett University, India
According to our database1,
Mohit Agarwal
authored at least 18 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2024
DECACNN: differential evolution-based approach to compress and accelerate the convolution neural network model.
Neural Comput. Appl., February, 2024
2023
Non-overlapping block-level difference-based image forgery detection and localization (NB-localization).
Vis. Comput., December, 2023
Compression and acceleration of convolution neural network: a Genetic Algorithm based approach.
J. Ambient Intell. Humaniz. Comput., October, 2023
Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network model.
Int. J. Mach. Learn. Cybern., July, 2023
Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization.
Neural Comput. Appl., June, 2023
Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset.
Proceedings of the 9th International Conference on Computer Technology Applications, 2023
2022
Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark.
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.
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.
Comput. Biol. Medicine, 2022
2021
A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant.
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.
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.
J. Medical Syst., 2021
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence.
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.
Int. J. Comput. Assist. Radiol. Surg., 2021
A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021
2020
Sustain. Comput. Informatics Syst., 2020
2019
A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s).
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019