Santosh Kumar

Orcid: 0000-0003-2264-9014

Affiliations:
  • Institute of Technology (Banaras Hindu University), Department of Computer Science and Engineering, Varanasi, India


According to our database1, Santosh Kumar authored at least 45 papers between 2015 and 2024.

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Bibliography

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

Towards sustainable industry 4.0: A survey on greening IoE in 6G networks.
Ad Hoc Networks, 2024

Early MTS Forecasting for Dynamic Stock Prediction: A Double Q-Learning Ensemble Approach.
IEEE Access, 2024

Empowering Dataspace 4.0: Unveiling Promise of Decentralized Data-Sharing.
IEEE Access, 2024

Multisensory Metaverse-6G: A New Paradigm of Commerce and Education.
IEEE Access, 2024

2023
Deep Learning-Based Holistic Speaker Independent Visual Speech Recognition.
IEEE Trans. Artif. Intell., December, 2023

Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G.
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

FlyVR in the Sky: Virtual Reality Framework for Unmanned Aerial Vehicles in B5G.
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
<i>ChartVi</i>: Charts summarizer for visually impaired.
J. Comput. Lang., 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

Blockchain-Based Reliable Framework for Land Registration Information System.
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
Dissimilarity-Based Regularized Learning of Charts.
ACM Trans. Multim. Comput. Commun. Appl., 2021

ChartFuse: a novel fusion method for chart classification using heterogeneous microstructures.
Multim. Tools Appl., 2021

2018
Privacy preserving security using biometrics in cloud computing.
Multim. Tools Appl., 2018

An intelligent decision computing paradigm for crowd monitoring in the smart city.
J. Parallel Distributed Comput., 2018

Group Sparse Representation Approach for Recognition of Cattle on Muzzle Point Images.
Int. J. Parallel Program., 2018

Monitoring of pet animal in smart cities using animal biometrics.
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

Real-time recognition of cattle using animal biometrics.
J. Real Time Image Process., 2017

Muzzle point pattern based techniques for individual cattle identification.
IET Image Process., 2017

Visual animal biometrics: survey.
IET Biom., 2017

Animal Biometrics - Techniques and Applications
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

Hybrid BFO and PSO Swarm Intelligence Approach for Biometric Feature Optimization.
Int. J. Swarm Intell. Res., 2016

Poster: A Real-time Cattle Recognition System using Wireless Multimedia Networks.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

A Fast Cattle Recognition System using Smart devices.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015
Black Hole Algorithm and Its Applications.
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


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