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All ResearchIDs

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All Publications

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Journal(s)

• MSMVAN: Multi Step Multi Variate Deep Attention Network for Renewable Energy Forecast, By U. Shivani Sri Varshini, R. Praneetha Sree, Murukessan Perumal, M. Srinivas and R.B.V. Subramanyam, IEEE, IEEE Transactions on Industry Applications , vol.na, pp.12, 2023
• RDGT-GAN: Robust Distribution Generalization of Transformers for COVID-19 Fake News Detection, By Shivani Sri Varshini U, R Pranitha sree, M Srinivas and RBV Subramanyam, IEEE, IEEE Transactions on Computational Social Systems, vol.10, pp.15, 2023
• DenSplitnet: Classifier-Invariant Neural Network Method to Detect COVID-19 in Chest CT Data, By Murukessan Perumal and M Srinivas, Elsevier, Journal of Visual Communication and Image Representation features, vol.97, pp.11, 2023
• I-S2 FND: A Novel Interpretable Self-Ensembled Semi-Supervised Model based on Transformers for Fake News Detection, By Shivani Sri Varshini U, R Pranitha Sree, M Srinivas and RBV Subramanyam, Springer, Journal of Intelligent Information Systems, vol.62, pp.21, 2023
• An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition, By Rama Muni Reddy Y, Muralidhar P and Srinivas M, Springer, Brain Topography, vol.na, pp.12, 2023
• INASNET: Automatic Identification of Coronavirus Disease (COVID-19) Based on Chest X-ray Using Deep Neural Network, By Murkeshan A P, R Pranitha sree, Akshy nayak and M Srinivas, Elsevier, ISA Transactions, vol.124, pp.82, 2022
• Analysis on Novel Coronavirus (COVID-19) Using Machine Learning Methods, By Milind Yadav, Murkeshan A P and M Srinivas, Elsevier, Chaos, Solitons and Fractals: The Interdisciplinary Journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, vol.139, pp.12, 2020
• Sparsity-inducing dictionaries for effective action classification, By Debaditya Roy, M. Srinivas and C. Krishna Mohan, Elsevier, Pattern Recognition, vol.59, pp.55, 2016
• Content Based Medical Image Retrieval Using Dictionary Learning, By M. Srinivas, R. Ramu Naidu, C.S. Sastry and C. Krishna Mohan, , Elsevier, Neurocomputing, vol.168, pp.880, 2015
• Adaptive learning-based heartbeat classification, By M. Srinivas, Tony Basil, and C. Krishna Mohan, IOS, Bio-medical materials and engineering, vol.26, pp.49, 2015

Conference(s)

• Smart Contract Cloning Identification using BERT Model Based Representation Learning By Vishnu Kumar, Pranav Pisipati and M Srinivas, , IEEE INDICON, 20th India Council International Conference, 2023
• IFSI: Identification of Forged and Stego Images using Deep Learning Method By Goutham E, Shivani Sri Varshini U, Murukessan Perumal and M Srinivas, IEEE INDICON 2023: 20th India Council International Conference, 2023
• FTDD: Representation Learning using Fourier Transformations for Depression Detection in Social Media Content By Thotakura Eswar, U.Shivani Sri Varshini, Vishnu Kumar, M Srinivas and P. Radha Krishna, IEEE INDICON, 20th India Council International Conference, 2023
• CED-Net: A Generalized Deep Wide Model for Covid Detection By Shivani Manoj Toshniwal, P. Pranav, M. N. Toshniwal, M Srinivas, and P. Radha Krishna, 8th International Conference on Computer Vision & Image Processing (CVIP), 2023
• DeYOLO: A CNN Based Novel Approach for Classification and Localization of Pneumonia in Chest Radiographs By Murukessan Perumal, E Goutham, Debraj Das, and M Srinivas, 8th International Conference on Computer Vision & Image Processing (CVIP), 2023
• FResFormer: Leukemia Detection Using Fusion-enabled CNN and Attention By Murukessan Perumal, E Goutham, U. Shivani Sri Varshini, M Srinivas, and R.B.V. Subramanyam, 8th International Conference on Computer Vision & Image Processing (CVIP), 2023
• HF-Detect A Hybrid Detector for Manipulated Face Detection By Shakya Ankit, Kommineni Jenni, M Srinivas, Murukessan Perumal, , 2023 IEEE Region 10 Conference (TENCON), 2023
• A Novel Contactless Middle Finger Knuckle Based Person Identification Using Ensemble Learning By Noboranjan Dey, M Srinivas and Prof. R.B.V. Subramanyam, 2023 IEEE Region 10 Conference (TENCON), 2023
• CSA-BERT: Video Question Answering By Kommineni Jenni, M Srinivas, Roshni Sannapu and Murukessan Perumal, 22nd IEEE Statistical Signal Processing Workshop, 2023
• Attention-based Deep Neural Network for Wind Power and Solar Radiation Prediction By Varshini, U. Shivani Sri, Murukessan Perumal and M Srinivas, 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT), 2023
• Tree Optimizer: A classifier-based task scheduling framework By Pruthvi Raj Venkatesh, Srinivas M and Radha Krishna P, 24th International Conference on Distributed Computing and Networking ICDCN'23, 2023
• A Dense layer Stacked CMT-DenseNet Fusion Model for COVID Detection By Shivani Toshniwal, Srinivas M and Radha Krishna P, IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), 2022
• Credit Card Fraud Detection Using Hybrid Learning By Behura, Aradhana and M. Srinivas, IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2022), 2022
• Automatic allocation of secure slice in future mobile networks using ML By Muddu Krishnama Naidu Immadisetti, Murukessan A P and M Srinivas, IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2021), 2021
• Deep Features and Sparse Representation Based Fine-Grained Image Classification By M. Srinivas, Yen-Yu Lin and Hong-Yuan Mark Liao, , IEEE International Conference on Multimedia & Expo (ICME 2017), 2017
• Deep Dictionary Learning for Fine-Grained Image Classification By M. Srinivas, Yen-Yu Lin and Hong-Yuan Mark Liao, IEEE International Conference on Image Processing (ICIP) 2017, 2017
• Discriminative Feature Extraction of X-ray Images using Deep Neural Networks By M. Srinivas, Debaditya Roy and C. Krishna Mohan, 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016
• Classification of Medical Images Using Edge Based Features and Sparse Representation By M. Srinivas and C. Krishna Mohan, 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016
• Multi-level classification: A generic classification method for medical data sets By M. Srinivas and C. Krishna Mohan, 17th IEEE International Conference on E-health Networking, Application & Services (Healthcom 2015), 2015
• Sparseland Model for Speckle Suppression of B-mode Ultrasound Images By M. Srinivas, Ramkrishna Bharath, Pachamuthu Rajalakshmi and C. Krishna Mohan, IEEE National Conference on Communication (NCC-2015), 2015
• Sparsifying Dense Features for Action Classification By Debaditya Roy, M. Srinivas and C. Krishna Mohan, ,” Proc. , India, Feb. 2015. , IEEE Int. Conf. on Perception and Machine Intelligence, Kolkata, 2015
• Dictionary based action video classification with action bank By Shyju Wilson, M. Srinivas and C. Krishna Mohan, 19th IEEE Int. Conf. on Digital Signal Processing (DSP 2014), 2014
• Medical Images Modality Classification using Multi-Scale Dictionary Learning By M. Srinivas and C. Krishna Mohan, 19th IEEE Int. Conf. on Digital Signal Processing (DSP 2014), 2014
• Music Genre Classification using On-line Dictionary Learning By M. Srinivas, Debaditya Roy and C. Krishna Mohan, 19th IEEE Int. Conf. on Digital Signal Processing (DSP 2014), 2014
• Learning Sparse Dictionaries for Music and Speech Classification By M. Srinivas, Debaditya Roy, and C. Krishna Mohan, 19th IEEE Int. Conf. on Digital Signal Processing (DSP 2014), 2014
• Medical Image Indexing and Retrieval Using Multiple Features By M. Srinivas and C. Krishna Mohan, Int. Conf, Computational Intelligence and Information Technology (CIIT 2013), 2013
• Efficient Clustering Approach using Incremental and Hierarchical Clustering Methods By M. Srinivas and C. Krishna Mohan, Int. Conf IEEE WCCI 2010, Neural Networks (IJCNN), 2010, 2010

Text Book(s)

• Machine Learning Algorithms and Applications By Mettu Srinivas, G. Sucharitha and Anjanna Matta (Published by: Wiley Publications), Book, 2021

Book Chapter(s)

• Facial Expression Recognition Using Fusion of Deep Learning and Multiple Features By Srinivas, M, Sanjeev Saurav, Akshay Nayak, and A. P. Murukessan in Machine Learning Algorithms and Applications , Wiley , Book, 2021
• Sparse approximation of overdetermined systems for content-based image retrieval By M. Srinivas, and R. Ramu Naidu in Recent Developments in Mathematical Analysis and its Applications, Springer, Book, 2014
• Efficient Text Classification using Best Feature Selection and Combination Methods By M. Srinivas, K.P.Supreethi and Dr. E.V.Prasad in Human Interface and the Management of Information. Designing Information Environments, Springer , Book, 2009

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