Yogesh Kumar Sharma
Orcid: 0000-0003-1934-4535
According to our database1,
Yogesh Kumar Sharma authored at least 24 papers
between 2012 and 2026.
Collaborative distances:
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Bibliography
2026
Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks.
J. Cloud Comput., December, 2026
A Modified Chaos-Driven Enhanced Cryptographic Framework for Lightweight and Robust IoT Security in Resource-Constrained Devices.
Int. J. Comput. Intell. Syst., December, 2026
Hybrid Model for Freezing of Gait Detection in Parkinson's Disease: Integrating Manual Features and Deep Learning.
Int. J. Comput. Intell. Syst., December, 2026
A hybrid chaos-based cryptographic framework for lightweight IoT security: enhancing efficiency and security in low-power devices.
Peer Peer Netw. Appl., March, 2026
A Hybrid Deep Learning Framework for High-Precision and Efficient Cervical Cancer Detection.
IET Image Process., 2026
2025
J. Cloud Comput., December, 2025
Advanced Hybrid Machine Learning Model for Accurate Detection of Cardiovascular Disease.
Int. J. Comput. Intell. Syst., December, 2025
Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing.
Int. J. Comput. Intell. Syst., December, 2025
A robust framework for topology-based anomaly detection in attributed networks using graph attention networks, substructure analysis, and data augmentation.
Int. J. Data Sci. Anal., November, 2025
Optimizing LSTM Hyperparameters with Whale Optimization Algorithm for Efficient Freight Distribution in Smart Cities.
Scalable Comput. Pract. Exp., 2025
Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development.
PeerJ Comput. Sci., 2025
An advanced approach for DNA sequencing and similarities analysis on the basis of groupings of nucleotide bases.
Int. J. Data Min. Bioinform., 2025
Optimising Parking Systems With IoT and a Multilayer Machine Learning Approach for Accurate Spot Prediction and Vehicle Detection.
IET Commun., 2025
MOSDroid: Obfuscation-resilient android malware detection using multisets of encoded opcode sequences.
Comput. Secur., 2025
GNSTAM: Integrating Graph Networks With Spatial and Temporal Signature Analysis for Enhanced Android Malware Detection.
IEEE Access, 2025
2024
ProtienCNN-BLSTM: An efficient deep neural network with amino acid embedding-based model of protein sequence classification and biological analysis.
Comput. Intell., August, 2024
An adaptive mobility-aware secure handover and scheduling protocol for Earth Observation (EO) communication using fog computing.
Earth Sci. Informatics, June, 2024
Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture.
Comput. Syst. Sci. Eng., 2024
Integrating CNN and XGBoost with Synthetic Samples for Advanced Android Malware Detection.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024
2023
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023
Implementation of ABC & WOA-Based Security Defense Mechanism for Distributed Denial of Service Attacks.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023
2022
J. Inf. Sci. Eng., 2022
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022
2012
Proceedings of the 2012 International Conference on Advances in Computing, 2012