Biography and Research Information

OverviewAI-generated summary

C. P. Shirley's research interests encompass a range of technology applications, including machine learning, blockchain, and deep learning. Recent work has focused on developing machine learning models for gas leakage recognition and monitoring using infrared imaging. Shirley has also investigated the integration of blockchain and deep learning for smart electric vehicle charging to support demand-side management. Further research includes the application of machine learning and sensor-based multi-robot systems with voice recognition to assist visually impaired individuals, and the impact of cloud computing on smart farming. Additionally, Shirley has explored the benefits of blockchain integration in IoT-based biomedical and healthcare systems, as well as using generative adversarial networks to enhance privacy and security in online education. Shirley has published 65 papers with 171 citations and an h-index of 6.

Metrics

  • h-index: 6
  • Publications: 65
  • Citations: 171

Selected Publications

  • Monitoring the stability of transgene expression in lettuce using the RUBY reporter (2025) DOI
  • XAI implementation in traditional alternate medicine system (2025) DOI
  • Contributors (2025) DOI
  • Machine Learning for Cloud Security: A Systematic Review (2025) DOI
  • Ordered or Orderless: A Revisit for Video based Person Re- Identification (2025) DOI
  • A Unified Machine Learning Approach for Real-Time Intrusion, Malware, and URL Detection Using Random Forest and Advanced Algorthims (2025) DOI
  • 6G communication paradigm: A comprehensive exploration of the next generation connectivity (2025) DOI
  • Automatic modulation classification scheme for next-generation cellular networks using optimized adaptive multi-scale dual attention network (2025) DOI
  • MedFuseNet: Fusion of Multi-Modal Data for Improved Cervical Cancer Diagnostic Accuracy (2025) DOI
  • Quantum Computers—Real‐World Applications and Challenges (2025) DOI
  • Cloud-powered efficiency: a mobile application for agricultural pest identification using cycle-consistent generative adversarial networks (2025) DOI
  • “Internet + “ Empowers Teaching Reform (2025) DOI
  • Leveraging Artificial Intelligence and IoT for Healthcare 5.0 (2025) DOI
  • Dual-stage deep learning: A new approach to enhancing species-specific plant disease detection (2025) DOI
  • Identification of Parkinson's disease progression with EEG signals using hybrid optimization approach (2025) DOI

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