V. Sowmya

Orcid: 0000-0003-3745-6944

Affiliations:
  • Amrita Vishwa Vidyapeetham, Amrita School of Engineering, Center for Computational Engineering and Networking (CEN), Coimbatore, India


According to our database1, V. Sowmya authored at least 56 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Centralized CNN-GRU Model by Federated Learning for COVID-19 Prediction in India.
IEEE Trans. Comput. Soc. Syst., February, 2024

Deep learning-based approach for multi-stage diagnosis of Alzheimer's disease.
Multim. Tools Appl., February, 2024

Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems.
IEEE Access, 2024

2023
Two-stage deep learning model for automate detection and classification of lung diseases.
Soft Comput., November, 2023

Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images.
Neural Comput. Appl., April, 2023

AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition.
Eng. Appl. Artif. Intell., April, 2023

Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images.
IEEE Trans. Engineering Management, 2023

Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram.
IEEE Trans. Engineering Management, 2023

Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures.
Multim. Tools Appl., 2023

Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures.
Eng. Appl. Artif. Intell., 2023

Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India.
CoRR, 2023

Learning (With) Distributed Optimization.
CoRR, 2023

Learning and Adaptation From Minimum Samples With Heterogeneous Quality: An Investigation of Image Segmentation Networks on Natural Dataset.
IEEE Access, 2023

Weighted Average Ensemble Approach for Pediatric Pneumonia Diagnosis Using Channel Attention Deep CNN Architectures.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2023

Deep Learning-Based Open Set Domain Hyperspectral Image Classification Using Dimension-Reduced Spectral Features.
Proceedings of the Smart Computer Vision, 2023

Initial Stage Identification of COVID-19 Using Capsule Networks.
Proceedings of the Smart Computer Vision, 2023

2022
Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN.
Multim. Tools Appl., 2022

Odonata identification using Customized Convolutional Neural Networks.
Expert Syst. Appl., 2022

Explainable AI Framework for COVID-19 Prediction in Different Provinces of India.
CoRR, 2022

EfficientNet convolutional neural networks-based Android malware detection.
Comput. Secur., 2022

A two-stage deep learning framework for image-based android malware detection and variant classification.
Comput. Intell., 2022

2021
Enhanced Object Detection in Floor-plan through Super Resolution.
CoRR, 2021

Geometry Based Machining Feature Retrieval with Inductive Transfer Learning.
CoRR, 2021

Robust Malware Detection using Residual Attention Network.
Proceedings of the IEEE International Conference on Consumer Electronics, 2021

Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification Using Spectrogram.
Proceedings of the Advances in Computing and Data Sciences - 5th International Conference, 2021

Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson's Disease Detection.
Proceedings of the Evolution in Computational Intelligence, 2021

Geometry-Based Machining Feature Retrieval with Inductive Transfer Learning.
Proceedings of the Intelligent Data Engineering and Analytics, 2021

2020
Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm.
CoRR, 2020

Significance of processing chrominance information for scene classification: a review.
Artif. Intell. Rev., 2020

Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Deep Learning Based Approach for Multiple Myeloma Detection.
Proceedings of the 11th International Conference on Computing, 2020

Investigating the Significance of Dynamic Mode Decomposition for Fast and Accurate Parameter Estimation in Power Grids.
Proceedings of the 11th International Conference on Computing, 2020

Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading.
Proceedings of the 11th International Conference on Computing, 2020

Impact of Dimension Reduced Spectral Features on Open Set Domain Adaptation for Hyperspectral Image Classification.
Proceedings of the Evolution in Computational Intelligence, 2020

Performance Improvement of Deep Residual Skip Convolution Neural Network for Atrial Fibrillation Classification.
Proceedings of the Evolution in Computational Intelligence, 2020

Digital Forensics for Drones: A Study of Tools and Techniques.
Proceedings of the Applications and Techniques in Information Security, 2020

2019
Hyperspectral Image: Fundamentals and Advances.
Proceedings of the Recent Advances in Computer Vision - Theories and Applications, 2019

Scene Classification Using Transfer Learning.
Proceedings of the Recent Advances in Computer Vision - Theories and Applications, 2019

Deep learning architectures for land cover classification using red and near-infrared satellite images.
Multim. Tools Appl., 2019

Deep rectified system for high-speed tracking in images.
J. Intell. Fuzzy Syst., 2019

Effect of denoising on hyperspectral image classification using deep networks and kernel methods.
J. Intell. Fuzzy Syst., 2019

Land Cover Satellite Image Classification Using NDVI and SimpleCNN.
Proceedings of the 10th International Conference on Computing, 2019

2018
Band selection using variational mode decomposition applied in sparsity-based hyperspectral unmixing algorithms.
Signal Image Video Process., 2018

Effect of Legendre-Fenchel denoising and SVD-based dimensionality reduction algorithm on hyperspectral image classification.
Neural Comput. Appl., 2018

Multi-sensor data fusion using NIHS transform and decomposition algorithms.
Multim. Tools Appl., 2018

Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification.
CoRR, 2018

2017
Significance of incorporating chrominance information for effective color-to-grayscale image conversion.
Signal Image Video Process., 2017

Application of M-band wavelet in pan-sharpening.
J. Intell. Fuzzy Syst., 2017

Significance of perceptually relevant image decolorization for scene classification.
J. Electronic Imaging, 2017

Exploring the significance of using perceptually relevant image decolorization method for scene classification.
CoRR, 2017

Dependency of Various Color and Intensity Planes on CNN Based Image Classification.
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2017

Significance of contrast and structure features for an improved color image classification system.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017

Improved color scene classification system using deep belief networks and support vector machines.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017

Hyperspectral image denoising: A least square approach using wavelet filters.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Least square based image deblurring.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

2016
Effect of Dimensionality Reduction on Sparsity Based Hyperspectral Unmixing.
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016


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