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Biography and Research Information
OverviewAI-generated summary
C. P. Shirley's research interests span multiple fields, including the application of advanced computational techniques to diverse challenges. Publications include work on machine learning for assistive technologies, blockchain and deep learning for electric vehicle charging management, and infrared imaging with machine learning for gas leak detection. Shirley has also explored the impact of cloud computing on smart farming and deep learning in smart manufacturing. Further work has focused on enhancing privacy and security in online education using generative adversarial networks, and the structural diversity and applications of polysaccharides in biomedical sciences.
With a total of 65 publications and 184 citations, Shirley's work demonstrates engagement with emerging technologies and their practical implementation across various sectors, including healthcare and industry. The researcher's h-index is 6.
Metrics
- h-index: 6
- Publications: 54
- Citations: 164
Selected Publications
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Monitoring the stability of transgene expression in lettuce using the RUBY reporter (2025)
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XAI implementation in traditional alternate medicine system (2025)
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Contributors (2025)
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Machine Learning for Cloud Security: A Systematic Review (2025)
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Ordered or Orderless: A Revisit for Video based Person Re- Identification (2025)
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A Unified Machine Learning Approach for Real-Time Intrusion, Malware, and URL Detection Using Random Forest and Advanced Algorthims (2025)
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6G communication paradigm: A comprehensive exploration of the next generation connectivity (2025)
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Automatic modulation classification scheme for next-generation cellular networks using optimized adaptive multi-scale dual attention network (2025)
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MedFuseNet: Fusion of Multi-Modal Data for Improved Cervical Cancer Diagnostic Accuracy (2025)
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Quantum Computers—Real‐World Applications and Challenges (2025)
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Cloud-powered efficiency: a mobile application for agricultural pest identification using cycle-consistent generative adversarial networks (2025)
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“Internet + “ Empowers Teaching Reform (2025)
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Leveraging Artificial Intelligence and IoT for Healthcare 5.0 (2025)
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Dual-stage deep learning: A new approach to enhancing species-specific plant disease detection (2025)
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Identification of Parkinson's disease progression with EEG signals using hybrid optimization approach (2025)
Collaboration Network
Top Collaborators
Elakkiya Elango
Government of Tamil Nadu (IN)
8 shared publications
- Enhancing Privacy and Security in Online Education Using Generative Adversarial Networks
- Deep Learning in Smart Manufacturing
- Deepfake Detection Using Multi-Modal Fusion Combined with Attention Mechanism
- The Roadmap to AI and Digital Twin Adoption
- Leveraging Artificial Intelligence and IoT for Healthcare 5.0
Showing 5 of 8 shared publications
Berin Jeba Jingle
Karunya University (IN)
8 shared publications
- Deepfake Detection Using Multi-Modal Fusion Combined with Attention Mechanism
- The Role of Digital Twins and Estimating their Impact on the Field of Agriculture in Promoting Sustainability
- ML based Text Summarization for Sentiment Analysis in Information Retrieval using Feature Engineering
- Secure Sentinel Leveraging Machine Learning for Fraud Detection in Blockchain Transactions
- Reinforcement Learning based Adaptive Healthcare Decision Support Systems using Time Series Forecasting
Showing 5 of 8 shared publications
Gnanasankaran Natarajan
7 shared publications
- Enhancing Privacy and Security in Online Education Using Generative Adversarial Networks
- Deep Learning in Smart Manufacturing
- The Roadmap to AI and Digital Twin Adoption
- Leveraging Artificial Intelligence and IoT for Healthcare 5.0
- Quantum Computers—Real‐World Applications and Challenges
Showing 5 of 7 shared publications
S. V. Evangelin Sonia
Karunya University (IN)
6 shared publications
- Blockchain and Deep Learning Development of Smart Charging of Electric Vehicles to Meet the Demand Side Management
- Recognition and monitoring of gas leakage using infrared imaging technique with machine learning
- Empowering Patients: Unlocking Benefits Through Blockchain Integration in IoT-Based Biomedical and Healthcare Systems
- Deep Learning for Glioblastoma Subtyping: Leveraging DenseNet-201 in Brain Tumor Radiogenomic Classification
- Automatic visualization of gas leakage in the domestic sector using spacial and temporal models with image processing techniques
Showing 5 of 6 shared publications
T. R. Vijaya Lakshmi
4 shared publications
- Optimized attention-induced multihead convolutional neural network with efficientnetv2-fostered melanoma classification using dermoscopic images
- Improving Prostate Cancer Diagnosis with Weakly Supervised Learning and Radiology-Confirmed Negative MRI Data
- Identification of Parkinson's disease progression with EEG signals using hybrid optimization approach
- Enhancing Colorectal Cancer Treatment through Automated Segmentation with Convolutional Neural Networks and Machine Learning Approaches
Ch. Venkatakrishna Reddy
3 shared publications
- Microgrids with day-ahead energy forecasting for efficient energy management in smart grids: hybrid CS-RERNN
- Hybrid Technique-based Optimal Energy Management in Smart Home Appliances
- Hybrid Technique-based Optimal Energy Management in Smart Home Appliances
S J Absin
Karunya University (IN)
3 shared publications
- ML Integrated Facial Expression Recognition on Occluded Faces Using Feature Fusion
- Secure Sentinel Leveraging Machine Learning for Fraud Detection in Blockchain Transactions
- Reinforcement Learning based Adaptive Healthcare Decision Support Systems using Time Series Forecasting
Brijit Benny
Karunya University (IN)
3 shared publications
- The Role of Digital Twins and Estimating their Impact on the Field of Agriculture in Promoting Sustainability
- Role of Digital Twins in Promoting Sustainability in Commerce
- Leveraging IoT and Digital Twins to Monitor Crop Growth and Health in Agriculture
K Vidhya
Karunya University (IN)
3 shared publications
- The Role of Digital Twins and Estimating their Impact on the Field of Agriculture in Promoting Sustainability
- MedFuseNet: Fusion of Multi-Modal Data for Improved Cervical Cancer Diagnostic Accuracy
- Leveraging IoT and Digital Twins to Monitor Crop Growth and Health in Agriculture
M. Rajendiran
3 shared publications
- Identification of Parkinson's disease progression with EEG signals using hybrid optimization approach
- Enhancing Colorectal Cancer Treatment through Automated Segmentation with Convolutional Neural Networks and Machine Learning Approaches
- Dual-stage deep learning: A new approach to enhancing species-specific plant disease detection
R. Venkatesan
Karunya University (IN)
3 shared publications
- Deepfake Detection Using Multi-Modal Fusion Combined with Attention Mechanism
- Role of Digital Twins in Promoting Sustainability in Commerce
- Deciphering Depression: Linguistic Analysis of Social Media Data
Kantilal Pitambar Rane
Bharati Vidyapeeth Deemed University (IN)
2 shared publications
- Machine learning and Sensor-Based Multi-Robot System with Voice Recognition for Assisting the Visually Impaired
- IoT device type identification using training deep quantum neural networks optimized with a chimp optimization algorithm for enhancing IoT security
Ida Titus
Karunya University (IN)
2 shared publications
- Recognition and monitoring of gas leakage using infrared imaging technique with machine learning
- Automatic visualization of gas leakage in the domestic sector using spacial and temporal models with image processing techniques
G. Ravivarman
Karpagam Academy of Higher Education (IN)
2 shared publications
- Improving Prostate Cancer Diagnosis with Weakly Supervised Learning and Radiology-Confirmed Negative MRI Data
- Enhancing Colorectal Cancer Treatment through Automated Segmentation with Convolutional Neural Networks and Machine Learning Approaches
L. Natrayan
2 shared publications
- Improving Prostate Cancer Diagnosis with Weakly Supervised Learning and Radiology-Confirmed Negative MRI Data
- Dual-stage deep learning: A new approach to enhancing species-specific plant disease detection
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