الرئيسية › دليل الباحثين › Ying Sun
Ying Sun
الانتماء : King Abdullah University of Science and Technology
- 148منشورات (انتماء سعودي)
- 520مجموع المنشورات
- 12092الاستشهادات
- 59مؤشر h
الملف البحثي
لدى Ying Sun 148 منشور(ات) مفهرسة (2020–2025). تُنشر أعماله أساسًا في «Elsevier eBooks»، «Results in Engineering» و«Journal of Materials Engineering and Performance». أكثر مقالاته استشهادًا هو «Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study» (2020)، وقد استُشهد به 508 مرة. 39 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 6 باحثًا على الأقل، منهم باحثون من مؤسسات في الجزائر، فرنسا، الولايات المتحدة، قطر.
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إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Fault Detection and Control Systems
- Anomaly Detection Techniques and Applications
- Spatial and Panel Data Analysis
- Gaussian Processes and Bayesian Inference
- Advanced Statistical Process Monitoring
المنشورات (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
مجلات النشر
- Elsevier eBooks × 15
- Results in Engineering × 5
- Journal of Materials Engineering and Performance × 4
- International Conference on Frontiers of Signal Processing (ICFSP) × 4
- Energies × 4
- Frontiers in Energy Research × 3
المنشورات حسب السنة
- 20258
- 202417
- 202314
- 202225
- 202116
- 202020
التعاون العلمي
المؤسسات الشريكة : Université de Technologie de Troyes · University of Chicago · Renewable Energy Development Center · Université Pierre-et-Marie-Curie · Texas A&M University at Qatar
بلدان المؤلفين المشاركين : الجزائر · فرنسا · الولايات المتحدة · قطر
المؤلفون المشاركون
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
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