Suneet K. Gupta
Orcid: 0000-0002-5086-8401Affiliations:
- Bennett University, Greater Noida, India
According to our database1,
Suneet K. Gupta
authored at least 35 papers
between 2019 and 2024.
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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
Multim. Tools Appl., February, 2024
2023
Non-overlapping block-level difference-based image forgery detection and localization (NB-localization).
Vis. Comput., December, 2023
A Deep Reinforcement Learning Scheme for Sum Rate and Fairness Maximization Among D2D Pairs Underlaying Cellular Network With NOMA.
IEEE Trans. Veh. Technol., October, 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
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, 2023
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023
Deep Reinforcement Learning Based Energy Consumption Minimization for Intelligent Reflecting Surfaces Assisted D2D Users Underlaying UAV Network.
Proceedings of the IEEE INFOCOM 2023, 2023
Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset.
Proceedings of the 9th International Conference on Computer Technology Applications, 2023
Deep Reinforcement Learning Based Energy Efficiency Maximization Scheme for Uplink NOMA Enabled D2D Users.
Proceedings of the IEEE Global Communications Conference, 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
VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification.
J. Vis. Commun. Image Represent., 2022
NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death.
Comput. Biol. Medicine, 2022
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework.
Comput. Biol. Medicine, 2022
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, 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
Artif. Intell. Rev., 2022
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022
2021
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective.
IEEE J. Biomed. Health Informatics, 2021
A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application.
IEEE Trans. Instrum. Meas., 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
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 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
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, 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