Santosh Kumar
Orcid: 0000-0003-2264-9014Affiliations:
- Institute of Technology (Banaras Hindu University), Department of Computer Science and Engineering, Varanasi, India
According to our database1,
Santosh Kumar
authored at least 63 papers
between 2015 and 2025.
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Bibliography
2025
Empowering Remote Healthcare With Federated Learning for Early Diagnosis of Pulmonary Disease.
IEEE Internet Things J., July, 2025
IEEE Internet Things J., April, 2025
IEEE Trans. Sustain. Comput., 2025
Skyward secure: Advancing drone data-sharing in 6G with decentralized dataspace and supported technologies.
J. Parallel Distributed Comput., 2025
IEEE Access, 2025
2024
Quantum leap in cardiac prognosis: EMIP-cardioPPG's pioneering approach to early myocardial infarction prediction.
Signal Image Video Process., December, 2024
Synergy of Human-Centered AI and Cyber-Physical-Social Systems for Enhanced Cognitive Situation Awareness: Applications, Challenges and Opportunities.
Cogn. Comput., September, 2024
Federated Learning Meets Blockchain in Decentralized Data Sharing: Healthcare Use Case.
IEEE Internet Things J., June, 2024
A novel multimodal framework for early diagnosis and classification of COPD based on CT scan images and multivariate pulmonary respiratory diseases.
Comput. Methods Programs Biomed., January, 2024
CoRR, 2024
Ad Hoc Networks, 2024
Early MTS Forecasting for Dynamic Stock Prediction: A Double Q-Learning Ensemble Approach.
IEEE Access, 2024
IEEE Access, 2024
IEEE Access, 2024
Proceedings of the IEEE Region 10 Conference, 2024
Adaptive Spectral Correlation Convolutional Neural Network for EEG-Based Emotion Recognition: A Study on the SEED Dataset.
Proceedings of the IEEE Region 10 Conference, 2024
Advancing Early Detection of Congestive Heart Failure Using BiLSTM Networks: A Robust Clinical Framework.
Proceedings of the IEEE Region 10 Conference, 2024
Advancing EEG Analysis for Confusion Detection in Educational Settings Using BiLSTM Deep Learning Techniques.
Proceedings of the IEEE Region 10 Conference, 2024
A Deep Learning Approach for Early Stress Detection Using Electrodermal Activity Through Wearable Devices.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024
Advanced Framework for Early Congestive Heart Failure Detection Using Electrocardiogram Data and Ensemble Learning Models.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Hybrid CNN-LSTM Framework for Enhanced Congestive Heart Failure Diagnosis: Integrating GQRS Detection.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Enhanced Predictive Modeling Techniques for Early Detection of COPD Utilizing 1D Convolutional Neural Networks.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024
A Novel Multimodal Framework for Early Detection of Congestive Heart Failure using Ensemble Learning based Fusion Approach.
Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence, 2024
Deep Learning Framework for Early Diagnosis of COPD and Respiratory Diseases Using Lung Sound Analysis.
Proceedings of the Big Data and Artificial Intelligence - 12th International Conference, 2024
2023
IEEE Trans. Artif. Intell., December, 2023
Future Gener. Comput. Syst., November, 2023
Graph Interpretation, Summarization and Visualization Techniques: A Review and Open Research Issues.
Multim. Tools Appl., March, 2023
Lightweight cryptographic algorithms based on different model architectures: A systematic review and futuristic applications.
Concurr. Comput. Pract. Exp., January, 2023
Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications.
Adv. Hum. Comput. Interact., 2023
Federated Learning Meets Intelligence Reflection Surface in Drones for Enabling 6G Networks: Challenges and Opportunities.
IEEE Access, 2023
Metaverse-Driven Drone Edge Intelligence in B5G: A Conceptual Framework for Empowering CPSS.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Optimizing Knowledge Transfer in Sequential Models: Leveraging Residual Connections in Flow Transfer Learning for Lung Cancer Classification.
Proceedings of the Fourteenth Indian Conference on Computer Vision, 2023
Proceedings of the International Conference on Electrical, 2023
Proceedings of the Future Technologies Conference, 2023
Exploring the Feasibility of PPG for Estimation of Heart Rate Variability: A Mathematical Approach.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023
A Novel Hybrid Model for Predictive Analysis of Myocardial Infarction using Advanced Machine Learning Techniques.
Proceedings of the OITS International Conference on Information Technology, 2023
2022
Secure and Sustainable Framework for Cattle Recognition Using Wireless Multimedia Networks and Machine Learning Techniques.
IEEE Trans. Sustain. Comput., 2022
Classifying Chart Based on Structural Dissimilarities using Improved Regularized Loss Function.
Neural Process. Lett., 2022
A novel multimodal framework for automatic recognition of individual cattle based on hybrid features using sparse stacked denoising autoencoder and group sparse representation techniques.
Multim. Tools Appl., 2022
Evaginating scientific charts: Recovering direct and derived information encodings from chart images.
J. Vis., 2022
Int. J. Technol. Diffusion, 2022
Privacy preservation and security challenges: a new frontier multimodal machine learning research.
Int. J. Sens. Networks, 2022
A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques.
Comput. Methods Programs Biomed., 2022
Chest X ray and cough sample based deep learning framework for accurate diagnosis of COVID-19.
Comput. Electr. Eng., 2022
Ensemble multimodal deep learning for early diagnosis and accurate classification of COVID-19.
Comput. Electr. Eng., 2022
2021
ACM Trans. Multim. Comput. Commun. Appl., 2021
ChartFuse: a novel fusion method for chart classification using heterogeneous microstructures.
Multim. Tools Appl., 2021
2018
Multim. Tools Appl., 2018
J. Parallel Distributed Comput., 2018
Group Sparse Representation Approach for Recognition of Cattle on Muzzle Point Images.
Int. J. Parallel Program., 2018
Future Gener. Comput. Syst., 2018
2017
Automatic identification of cattle using muzzle point pattern: a hybrid feature extraction and classification paradigm.
Multim. Tools Appl., 2017
J. Real Time Image Process., 2017
IET Image Process., 2017
Springer, ISBN: 978-981-10-7955-9, 2017
2016
Feature Selection and Recognition of Muzzle Point Image Pattern of Cattle by Using Hybrid Chaos BFO and PSO Algorithms.
Proceedings of the Advances in Chaos Theory and Intelligent Control, 2016
Int. J. Swarm Intell. Res., 2016
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
2015
Proceedings of the Computational Intelligence Applications in Modeling and Control, 2015
Feature Selection and Recognition of Face by using Hybrid Chaotic PSO-BFO and Appearance-Based Recognition Algorithms.
Int. J. Nat. Comput. Res., 2015