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ORCIDV. Sowmya 0001
Person information
- affiliation: Amrita Vishwa Vidyapeetham, Amrita School of Engineering, Center for Computational Engineering and Networking (CEN), Coimbatore, India
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2020 – today
- 2024
[j27]S. Akshay
, E. A. Gopalakrishnan, Sowmya Vishvanathan, J. Venkatramani, Dheeraj Tripathi, Jay Shankar Prasad, Sirshendu Mondal:
Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems. IEEE Access 12: 699-726 (2024)- [j26]K. Deepa Raj, G. Jyothish Lal, E. A. Gopalakrishnan, V. Sowmya, Juan Rafael Orozco-Arroyave:
A Visibility Graph Approach for Multi-Stage Classification of Parkinson's Disease Using Multimodal Data. IEEE Access 12: 87077-87096 (2024) - [j25]Iswarya Kannoth Veetil, Divi Eswar Chowdary, Paleti Nikhil Chowdary, V. Sowmya, E. A. Gopalakrishnan:
An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks. Digit. Signal Process. 147: 104407 (2024) - [j24]Iswarya Kannoth Veetil, V. Sowmya, Juan Rafael Orozco-Arroyave, E. A. Gopalakrishnan:
Robust language independent voice data driven Parkinson's disease detection. Eng. Appl. Artif. Intell. 129: 107494 (2024) - [j23]V. V. Sajith Variyar, V. Sowmya, Ramesh Sivanpillai, Gregory K. Brown:
A multi-branch dual attention segmentation network for epiphyte drone images. Image Vis. Comput. 148: 105099 (2024) - [j22]Srividhya L, V. Sowmya, Vinaykumar Ravi, Gopalakrishnan E. A, Soman K. P:
Deep learning-based approach for multi-stage diagnosis of Alzheimer's disease. Multim. Tools Appl. 83(6): 16799-16822 (2024) - [j21]Mredulraj S. Pandianchery, V. Sowmya, E. A. Gopalakrishnan, Vinayakumar Ravi, K. P. Soman:
Centralized CNN-GRU Model by Federated Learning for COVID-19 Prediction in India. IEEE Trans. Comput. Soc. Syst. 11(1): 1362-1371 (2024) - 2023
- [j20]V. V. Sajith Variyar, V. Sowmya, Ramesh Sivanpillai, Gregory K. Brown:
Learning and Adaptation From Minimum Samples With Heterogeneous Quality: An Investigation of Image Segmentation Networks on Natural Dataset. IEEE Access 11: 47040-47052 (2023) - [j19]Sudhesh K. M., V. Sowmya, Sainamole Kurian P., O. K. Sikha:
AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition. Eng. Appl. Artif. Intell. 120: 105836 (2023) - [j18]J. Arun Prakash, CR Asswin, K. S. Dharshan Kumar, Avinash Dora, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, Soman K. P.:
Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures. Eng. Appl. Artif. Intell. 123(Part B): 106416 (2023) - [j17]J. Arun Prakash, CR Asswin, Vinayakumar Ravi, V. Sowmya, K. P. Soman:
Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures. Multim. Tools Appl. 82(14): 21311-21351 (2023) - [j16]J. Arun Prakash, Vinayakumar Ravi, V. Sowmya, K. P. Soman:
Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images. Neural Comput. Appl. 35(11): 8259-8279 (2023) - [j15]Ganeshkumar M., Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, K. P. Soman, M. Rupeshkumar:
Two-stage deep learning model for automate detection and classification of lung diseases. Soft Comput. 27(21): 15563-15579 (2023) - [j14]Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, Sowmya Vishvanathan:
Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images. IEEE Trans. Engineering Management 70(8): 2774-2786 (2023) - [j13]Ganeshkumar M., Vinayakumar Ravi, V. Sowmya, Gopalakrishnan E. A, Soman K. P:
Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram. IEEE Trans. Engineering Management 70(8): 2787-2799 (2023) - [c19]CR Asswin, J. Arun Prakash, K. S. Dharshan Kumar, Avinash Dora, V. Sowmya, Meshari Almeshari, Yasser Alzamil:
Weighted Average Ensemble Approach for Pediatric Pneumonia Diagnosis Using Channel Attention Deep CNN Architectures. MIKE 2023: 250-260 - [p4]Shamika Ganesan, R. Anand, V. Sowmya, K. P. Soman:
Initial Stage Identification of COVID-19 Using Capsule Networks. Smart Computer Vision 2023: 203-222 - [p3]Krishnendu C. S., V. Sowmya, K. P. Soman:
Deep Learning-Based Open Set Domain Hyperspectral Image Classification Using Dimension-Reduced Spectral Features. Smart Computer Vision 2023: 273-293 - [i8]Aadharsh Aadhithya A, Abinesh S, Akshaya J, Jayanth M, Vishnu Radhakrishnan, Sowmya Vishvanathan, Soman K. P:
Learning (With) Distributed Optimization. CoRR abs/2308.05548 (2023) - [i7]Paleti Nikhil Chowdary, Sathvika P, Pranav U, Rohan S, V. Sowmya, E. A. Gopalakrishnan, Dhanya M:
Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India. CoRR abs/2309.09336 (2023) - 2022
- [j12]Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, Sowmya Vishvanathan, Tuan D. Pham:
A two-stage deep learning framework for image-based android malware detection and variant classification. Comput. Intell. 38(5): 1748-1771 (2022) - [j11]Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, Sowmya Vishvanathan, Tuan D. Pham:
EfficientNet convolutional neural networks-based Android malware detection. Comput. Secur. 115: 102622 (2022) - [j10]Hari Theivaprakasham, S. Darshana, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, K. P. Soman:
Odonata identification using Customized Convolutional Neural Networks. Expert Syst. Appl. 206: 117688 (2022) - [j9]Ganesh Kumar M, Vinayakumar Ravi, V. Sowmya, Gopalakrishnan E. A, Soman K. P, Chinmay Chakraborty:
Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN. Multim. Tools Appl. 81(25): 36257-36273 (2022) - [i6]Mredulraj S. Pandianchery, Gopalakrishnan E. A, V. Sowmya, Vinayakumar Ravi, Soman K. P:
Explainable AI Framework for COVID-19 Prediction in Different Provinces of India. CoRR abs/2201.06997 (2022) - 2021
- [c18]N. S. Kamal, Barathi Ganesh H. B., V. V. Sajith Variyar, V. Sowmya, K. P. Soman:
Geometry-Based Machining Feature Retrieval with Inductive Transfer Learning. FICTA (1) 2021: 31-39 - [c17]Yamini Madan, Iswarya Kannoth Veetil, Sowmya Vishvanathan, Gopalakrishnan E. A, Soman K. P:
Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson's Disease Detection. FICTA (2) 2021: 171-178 - [c16]R. Sai Kesav, M. Bhanu Prakash, Krishanth Kumar, V. Sowmya, K. P. Soman:
Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification Using Spectrogram. ICACDS (1) 2021: 538-549 - [c15]Shamika Ganesan, Vinayakumar Ravi, Moez Krichen, V. Sowmya, Roobaea Alroobaea, Soman K. P.:
Robust Malware Detection using Residual Attention Network. ICCE 2021: 1-6 - [i5]N. S. Kamal, Barathi Ganesh HB, Sajith Variyar VV, V. Sowmya, Soman K. P.:
Geometry Based Machining Feature Retrieval with Inductive Transfer Learning. CoRR abs/2108.11838 (2021) - [i4]Dev Khare, N. S. Kamal, Barathi Ganesh HB, V. Sowmya, V. V. Sajith Variyar:
Enhanced Object Detection in Floor-plan through Super Resolution. CoRR abs/2112.09844 (2021) - 2020
- [j8]Sowmya Vishvanathan, D. Govind, K. P. Soman:
Significance of processing chrominance information for scene classification: a review. Artif. Intell. Rev. 53(2): 811-842 (2020) - [c14]Sowmya Vishvanathan, Zubair A. Baig:
Digital Forensics for Drones: A Study of Tools and Techniques. ATIS 2020: 29-41 - [c13]Krishnendu C. S., V. Sowmya, K. P. Soman:
Impact of Dimension Reduced Spectral Features on Open Set Domain Adaptation for Hyperspectral Image Classification. FICTA (1) 2020: 737-746 - [c12]Sanjana K., V. Sowmya, E. A. Gopalakrishnan, K. P. Soman:
Performance Improvement of Deep Residual Skip Convolution Neural Network for Atrial Fibrillation Classification. FICTA (1) 2020: 755-763 - [c11]Ramji Balasubramanian, V. Sowmya, E. A. Gopalakrishnan, Vijay Krishna Menon, V. V. Sajith Variyar, K. P. Soman:
Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading. ICCCNT 2020: 1-5 - [c10]Isha Indhu S, Kavya S. Kumar, U. Vamsi Krishna, Neethu Mohan, V. Sowmya, K. P. Soman:
Investigating the Significance of Dynamic Mode Decomposition for Fast and Accurate Parameter Estimation in Power Grids. ICCCNT 2020: 1-5 - [c9]M. T. Vyshnav, V. Sowmya, E. A. Gopalakrishnan, V. V. Sajith Variyar, Vijay Krishna Menon, K. P. Soman:
Deep Learning Based Approach for Multiple Myeloma Detection. ICCCNT 2020: 1-7 - [c8]Sriram S, Vinayakumar R., V. Sowmya, Mamoun Alazab, K. P. Soman:
Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network. INFOCOM Workshops 2020: 740-745 - [i3]Ganesh Kumar M, Soman K. P, Gopalakrishnan E. A, Vijay Krishna Menon, V. Sowmya:
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 abs/2003.12017 (2020)
2010 – 2019
- 2019
- [j7]Vysakh S. Mohan, R. Vinayakumar, V. Sowmya, K. P. Soman:
Deep rectified system for high-speed tracking in images. J. Intell. Fuzzy Syst. 36(3): 1957-1965 (2019) - [j6]Naveen Varghese Jacob, V. Sowmya, K. P. Soman:
Effect of denoising on hyperspectral image classification using deep networks and kernel methods. J. Intell. Fuzzy Syst. 36(3): 2067-2073 (2019) - [c7]T. Tulasi Sasidhar, Sreelakshmi K, Vyshnav M. T, V. Sowmya, Soman K. P.:
Land Cover Satellite Image Classification Using NDVI and SimpleCNN. ICCCNT 2019: 1-5 - [p2]Nikhil Damodaran, V. Sowmya, D. Govind, K. P. Soman:
Scene Classification Using Transfer Learning. Recent Advances in Computer Vision 2019: 363-399 - [p1]V. Sowmya, K. P. Soman, M. Hassaballah:
Hyperspectral Image: Fundamentals and Advances. Recent Advances in Computer Vision 2019: 401-424 - 2018
- [j5]V. Ankarao, V. Sowmya, K. P. Soman:
Multi-sensor data fusion using NIHS transform and decomposition algorithms. Multim. Tools Appl. 77(23): 30381-30402 (2018) - [j4]M. Swarna, V. Sowmya, K. P. Soman:
Band selection using variational mode decomposition applied in sparsity-based hyperspectral unmixing algorithms. Signal Image Video Process. 12(8): 1463-1470 (2018) - [i2]Chippy Jayaprakash, Bharath Bhushan Damodaran, V. Sowmya, K. P. Soman:
Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification. CoRR abs/1804.07347 (2018) - 2017
- [j3]Sowmya Vishvanathan, Govind Divakaran, Kutti Padanyl Soman:
Significance of perceptually relevant image decolorization for scene classification. J. Electronic Imaging 26(6): 63019 (2017) - [j2]V. Vishnu Pradeep, V. Sowmya, K. P. Soman:
Application of M-band wavelet in pan-sharpening. J. Intell. Fuzzy Syst. 32(4): 3151-3158 (2017) - [j1]V. Sowmya, D. Govind, K. P. Soman:
Significance of incorporating chrominance information for effective color-to-grayscale image conversion. Signal Image Video Process. 11(1): 129-136 (2017) - [c6]S. Dev Vishnu, Sachin Rajan, V. Sowmya, K. P. Soman:
Hyperspectral image denoising: A least square approach using wavelet filters. ICACCI 2017: 805-811 - [c5]Shimil Jose, Neethu Mohan, V. Sowmya, K. P. Soman:
Least square based image deblurring. ICACCI 2017: 1453-1457 - [c4]V. Sowmya, Aleena Ajay, D. Govind, K. P. Soman:
Improved color scene classification system using deep belief networks and support vector machines. ICSIPA 2017: 33-38 - [c3]V. Sowmya, D. Govind, K. P. Soman:
Significance of contrast and structure features for an improved color image classification system. ICSIPA 2017: 210-215 - [c2]Sachin Rajan, V. Sowmya, D. Govind, K. P. Soman:
Dependency of Various Color and Intensity Planes on CNN Based Image Classification. SIRS 2017: 167-177 - [i1]V. Sowmya, D. Govind, K. P. Soman:
Exploring the significance of using perceptually relevant image decolorization method for scene classification. CoRR abs/1712.10152 (2017) - 2016
- [c1]M. Swarna, V. Sowmya, K. P. Soman:
Effect of Dimensionality Reduction on Sparsity Based Hyperspectral Unmixing. SoCPaR 2016: 429-439
Coauthor Index
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last updated on 2024-08-03 21:12 CEST by the dblp team
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