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Ying Sun
Affiliation : King Abdullah University of Science and Technology
- 148Publications (affiliation in Saudi Arabia)
- 520Total publications
- 12092Citations
- 59h-index
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Create my free profile Add my publicationsResearch areas
- Fault Detection and Control Systems
- Anomaly Detection Techniques and Applications
- Spatial and Panel Data Analysis
- Gaussian Processes and Bayesian Inference
- Advanced Statistical Process Monitoring
Publications (148)
- Secure and reversible fragile watermarking for accurate authentication and tamper localization in medical images
- Machine Learning for Modeling and Defect Detection of Friction Stir Welds: A Review
- Collaborative swarm robotics for sustainable environment monitoring and exploration: Emerging trends and research progress
- Evaluating e-learning readiness using explainable machine learning and key organizational change factors in higher education
- Enhancing Defect Detection in Steel Plate Manufacturing with Explainable Machine Learning and SMOTE for Imbalanced Data
- Auto-configured explainable graph neural networks for multi-site pollution prediction
- Medical Image Authentication and Self-Recovery Using Fragile Watermarking in the Frequency Domain
- Understanding Student Behavioral Dynamics in Moodle Through Chaos Theory and Interpretable Machine Learning
- Enhancing road traffic flow prediction with improved deep learning using wavelet transforms
- Model-based fault detection in photovoltaic systems: A comprehensive review and avenues for enhancement
- Automatic fault detection in grid-connected photovoltaic systems via variational autoencoder-based monitoring
- Exploiting Autoencoder-Based Anomaly Detection to Enhance Cybersecurity in Power Grids
- Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study
- Enhancing Predictive Capabilities: Machine Learning Approaches for Predicting Mechanical Behavior in Friction Stir Welded Aluminum Alloys
- Deep Learning for Hand Gesture Recognition in Virtual Museum Using Wearable Vision Sensors
- Explainable machine learning for enhancing predictive accuracy of cutting forces in hard turning processes
- Detecting the signs of desertification with Landsat imagery: A semi-supervised anomaly detection approach
- Image-driven machine learning for automatic characterization of grain size and distribution in smart vanadium dioxide thin films
- Improved lithium-ion battery health prediction with data-based approach
- Stacked deep learning approach for efficient SARS-CoV-2 detection in blood samples
- Enhancing photovoltaic system performance using advanced gradient boosting methods
- Automatic Sitting Posture Recognition in Wheelchair Users: An AI-driven Pilot Study
- Enhanced Medical Image Authentication and Precise Tamper Localization Using Discrete Cosine Stockwell Transform
- Detecting Faulty Steel Plates Using Machine Learning
- Editorial: Advanced data-driven methods for monitoring solar and wind energy systems, volume II
- Energy consumption prediction in water treatment plants using deep learning with data augmentation
- Semi-supervised Deep Learning-Driven Anomaly Detection Schemes for Cyber-Attack Detection in Smart Grids
- Prediction of Cutting Forces in Hard Turning Process Using Machine Learning Methods: A Case Study
- Cybersecurity of photovoltaic systems: challenges, threats, and mitigation strategies: a short survey
- E-Learning Readiness Assessment Using Machine Learning Methods
- Machine Learning Prediction of Aluminum Alloy Stress–Strain Curves at Variable Temperatures with Failure Analysis
- Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting
- Gaussian Processes for Efficient Photovoltaic Power Prediction
- Editorial: Advanced data-driven methods for monitoring solar and wind energy systems
- A Deep Recurrent Neural Network Framework for Swarm Motion Speed Prediction
- Sensor Fault Detection in Wind Turbines Using Machine Learning and Statistical Monitoring Chart
- Semi-Supervised KPCA-Based Monitoring Techniques for Detecting COVID-19 Infection through Blood Tests
- Sensor fault detection in photovoltaic systems using ensemble learning-based statistical monitoring chart
- Assessing ANN Architectures for Wind Turbine Power Prediction: A Comparative Study
- Cyber-attacks detection in industrial systems using artificial intelligence-driven methods
- Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework
- Efficient Driver Drunk Detection by Sensors: A Manifold Learning-Based Anomaly Detector
- Road traffic modeling
- Exploring Deep Learning Methods to Forecast Mechanical Behavior of FSW Aluminum Sheets
- Forecasting of Bicycle and Pedestrian Traffic Using Flexible and Efficient Hybrid Deep Learning Approach
- Ensemble Learning Techniques-Based Monitoring Charts for Fault Detection in Photovoltaic Systems
- A Semi-Supervised Modulation Identification in MIMO Systems: A Deep Learning Strategy
- EEG-Based Mental Tasks Recognition via a Deep Learning-Driven Anomaly Detector
- Recurrent and convolutional neural networks for traffic management
- Machine learning and deep learning‐driven methods for predicting ambient particulate matters levels: A case study
- Improved Semi-Supervised Data-Mining-Based Schemes for Fault Detection in a Grid-Connected Photovoltaic System
- Traffic congestion detection: data-based techniques
- Intelligent Monitoring of Photovoltaic Systems via Simplicial Empirical Models and Performance Loss Rate Evaluation under LabVIEW: A Case Study
- A Survey on Recent Advances in Fall Detection Systems Using Machine Learning Formalisms
- A Tree-Driven Ensemble Learning Approach to Predict FS Welded Al-6061-T6 Material Behavior
- Monitoring Ground-Level Ozone Pollution Based on a Semi-supervised Approach
- Exploiting Deep Learning-Based LSTM Classification for Improving Hand Gesture Recognition to Enhance Visitors’ Museum Experiences
- Forecasting FSW Material’s Behavior using an Artificial Intelligence-Driven Approach
- DDOS attacks detection based on attention-deep learning and local outlier factor
- Model-based techniques for traffic congestion detection
- Road traffic density estimation
- Gated Recurrent Unit Based Short-Term Network for Robot Swarm Motion Forecasting
- Introduction
- Conclusion and further research directions
- Comparative study of machine learning methods for COVID-19 transmission forecasting
- Integrated Multiple Directed Attention-Based Deep Learning for Improved Air Pollution Forecasting
- A stacked deep learning approach to cyber-attacks detection in industrial systems: application to power system and gas pipeline systems
- Monitoring of Photovoltaic Systems Using Improved Kernel-Based Learning Schemes
- Deep Generative Learning-Based 1-SVM Detectors for Unsupervised COVID-19 Infection Detection Using Blood Tests
- Effective forecasting of key features in hospital emergency department: Hybrid deep learning-driven methods
- A Data-Driven Soft Sensor for Swarm Motion Speed Prediction Using Ensemble Learning Methods
- Predicting road traffic density using a machine learning-driven approach
- Toward Emerging Cubic-Spline Patterns With a Mobile Robotics Swarm System
- Efficient land desertification detection using a deep learning‐driven generative adversarial network approach: A case study
- An Effective Wind Power Prediction using Latent Regression Models
- A deep attention-driven model to forecast solar irradiance
- Automatic Human Fall Detection Using Multiple Tri-axial Accelerometers
- Detecting Cyber-Attacks in Modern Power Systems Using an Unsupervised Monitoring Technique
- Fault Detection in Solar PV Systems Using Hypothesis Testing
- Efficient Deep Learning-driven Approach for PM2.5 Forecasting at Different Locations in Spain
- Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study
- Short-Term Forecasting of Photovoltaic Solar Power Production Using Variational Auto-Encoder Driven Deep Learning Approach
- Traffic congestion monitoring using an improved kNN strategy
- Forecasting emergency department overcrowding: A deep learning framework
- Multivariate statistical monitoring of photovoltaic plant operation
- Desertification Detection Using an Improved Variational Autoencoder-Based Approach Through ETM-Landsat Satellite Data
- Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems
- A simple and effective detection strategy using double exponential scheme for photovoltaic systems monitoring
- DDOS-attacks detection using an efficient measurement-based statistical mechanism
- Detecting network cyber-attacks using an integrated statistical approach
- Improving robots swarm aggregation performance through the Minkowski distance function
- Unsupervised deep learning-based process monitoring methods
- Unsupervised recurrent deep learning scheme for process monitoring
- Linear latent variable regression (LVR)-based process monitoring
- Fault isolation
- Nonparametric Kullback-Leibler distance-based method for networks intrusion detection
- Case studies
- Multiscale latent variable regression-based process monitoring methods
- Nonlinear latent variable regression methods
- Conclusion and further research directions
Co-authors
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