Thavavel Vaiyapuri
Orcid: 0000-0001-5494-5278
  According to our database1,
  Thavavel Vaiyapuri
  authored at least 27 papers
  between 2019 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
Enhancing unmanned marine vehicle path planning: A fractal-enhanced chaotic grey wolf and differential evolution approach.
    
  
    Knowl. Based Syst., 2025
    
  
  2024
    Trans. Emerg. Telecommun. Technol., April, 2024
    
  
Optimizing Hydrogen Production in the Co-Gasification Process: Comparison of Explainable Regression Models Using Shapley Additive Explanations.
    
  
    Entropy, 2024
    
  
    Eng. Appl. Artif. Intell., 2024
    
  
IoT-Enabled Early Detection of Diabetes Diseases Using Deep Learning and Dimensionality Reduction Techniques.
    
  
    IEEE Access, 2024
    
  
An Efficient Optimal CapsNet Model-Based Computer-Aided Diagnosis for Gastrointestinal Cancer Classification.
    
  
    IEEE Access, 2024
    
  
  2023
    Trans. Emerg. Telecommun. Technol., June, 2023
    
  
Metaheuristics with federated learning enabled intrusion detection system in Internet of Things environment.
    
  
    Expert Syst. J. Knowl. Eng., June, 2023
    
  
A professional-driven blockchain framework for sharing E-Portfolio in the context of Industry 4.0.
    
  
    ICT Express, April, 2023
    
  
Improved Metaheuristic Based Failure Prediction with Migration Optimization in Cloud Environment.
    
  
    Comput. Syst. Sci. Eng., 2023
    
  
Blockchain Assisted Data Edge Verification With Consensus Algorithm for Machine Learning Assisted IoT.
    
  
    IEEE Access, 2023
    
  
Ensemble Learning Driven Computer-Aided Diagnosis Model for Brain Tumor Classification on Magnetic Resonance Imaging.
    
  
    IEEE Access, 2023
    
  
  2022
A Novel Hybrid Optimization for Cluster-Based Routing Protocol in Information-Centric Wireless Sensor Networks for IoT Based Mobile Edge Computing.
    
  
    Wirel. Pers. Commun., 2022
    
  
An investigation and comparison of machine learning approaches for intrusion detection in IoMT network.
    
  
    J. Supercomput., 2022
    
  
Energy aware fault tolerant clustering with routing protocol for improved survivability in wireless sensor networks.
    
  
    Comput. Networks, 2022
    
  
Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification.
    
  
    Comput. Electr. Eng., 2022
    
  
  2021
GA-based multi-objective optimization technique for medical image denoising in wavelet domain.
    
  
    J. Intell. Fuzzy Syst., 2021
    
  
Noise Removal in Lung LDCT Images by Novel Discrete Wavelet-Based Denoising With Adaptive Thresholding Technique.
    
  
    Int. J. E Health Medical Commun., 2021
    
  
Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM.
    
  
    Appl. Intell., 2021
    
  
Internet of Things and Deep Learning Enabled Elderly Fall Detection Model for Smart Homecare.
    
  
    IEEE Access, 2021
    
  
    Proceedings of Sixth International Congress on Information and Communication Technology, 2021
    
  
  2020
Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation.
    
  
    PeerJ Comput. Sci., 2020
    
  
Whale Optimization for Wavelet-Based Unsupervised Medical Image Segmentation: Application to CT and MR Images.
    
  
    Int. J. Comput. Intell. Syst., 2020
    
  
Reliable Multi-Object Tracking Model Using Deep Learning and Energy Efficient Wireless Multimedia Sensor Networks.
    
  
    IEEE Access, 2020
    
  
Wavelet Filtering for Limited-Angle and Low-Dose Computed Tomographic Reconstruction.
    
  
    Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020
    
  
  2019
Identifying and Benchmarking Key Features for Cyber Intrusion Detection: An Ensemble Approach.
    
  
    IEEE Access, 2019
    
  
Twitter Analytics for Discovering Socially Important Locations for Business Improvement.
    
  
    Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019