الرئيسية › دليل الباحثين › Okba Taouali
Okba Taouali
الانتماء : University of Tabuk
- 86منشورات (انتماء تونسي)
- 94مجموع المنشورات
- 1264الاستشهادات
- 21مؤشر h
الملف البحثي
لدى Okba Taouali 86 منشور(ات) مفهرسة (2009–2026). تُنشر أعماله أساسًا في «The International Journal of Advanced Manufacturing Technology»، «IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)» و«International Conference on Computing and Information Technology (ICCIT)». أكثر مقالاته استشهادًا هو «Online reduced kernel principal component analysis for process monitoring» (2017)، وقد استُشهد به 126 مرة. 9 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 12 باحثًا على الأقل، منهم باحثون من مؤسسات في السعودية، الجزائر.
هل هذا أنت؟ عرّف بأبحاثك
أنشئ ملفك على DzCademia مجانًا وأضف مقالاتك: ستظهر بسهولة أكبر على Google وفي مساعدي الذكاء الاصطناعي مثل ChatGPT، فيقرؤها ويستشهد بها عدد أكبر من الناس.
إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Fault Detection and Control Systems
- Control Systems and Identification
- Advanced Statistical Process Monitoring
- Spectroscopy and Chemometric Analyses
- Neural Networks and Applications
المنشورات (86)
- New Fault Diagnosis Strategy Based on KGLRT Chart for Monitoring Chemical Processes
- Data-Driven Technique for Fault Detection and Localization of Air Quality Process
- Optimal Location, Sizing and Technology Selection of STATCOM for Power Loss Minimization and Voltage Profile Using Multiple Optimization Methods
- Fault Detection using a Reduced Data-Driven Methods
- The Dynamic of the Grid with the Presence of WF and the AVR for Power Quality Enhancement
- An Online Reduced KPLS Data-Driven Method for Fault Diagnosis of Nonlinear Processes
- Novel intrusion detection system based on a downsized kernel method for cybersecurity in smart agriculture
- Dynamic sensor fault detection approach using data-driven techniques
- Comparative Study Based on a Reduced Dynamic Data-Driven Methods of Machine Learning
- Intelligent Intrusion Detection System for the Internet of Medical Things Based on Data-Driven Techniques
- Anomaly-based intrusion detection system in IoT using kernel extreme learning machine
- Anomaly detection for process monitoring based on machine learning technique
- Anomaly Detection and Localization for Process Security Based on the Multivariate Statistical Method
- Early detection of digital mammogram using kernel extreme learning machine
- Nonlinear Uncertain Process Monitoring
- A New Anomaly Detection Indexbased Moving Window Interval PCA
- An improved KPLS-KELM method for breast cancer detection
- Reduced CAD system for classifications of cancer types based on microarray gene expression data
- A novel machine learning approach for breast cancer diagnosis
- An Improved Fault Diagnosis Strategy for Process Monitoring Using Reconstruction Based Contributions
- Improved Dynamic Optimized Kernel Partial Least Squares for Nonlinear Process Fault Detection
- An enhanced CAD system based on machine Learning Algorithm for brain MRI classification
- KELM-KPCA Method for COVID-19-induced Pneumonia Detection
- Biomedical Computer Aided Design Systems: Application to Alzheimer Disease
- Uncertain Dynamic Process Monitoring Using Moving Window Interval PCA
- Interval valued data driven approach for sensor fault detection of nonlinear uncertain process
- Reduced Rank KPCA based on GLRT chart for sensor fault detection in nonlinear chemical process
- Fault detection of uncertain nonlinear process using reduced interval kernel principal component analysis (RIKPCA)
- Sensor Fault Detection and Isolation Based on Variable Moving Window KPCA
- A Novel Kernel method for Dynamic Process Identification
- Comparative Study based on Reduced Kernel Monitoring Methods using Air Quality Nonlinear Process
- Machine learning technique for data-driven fault detection of nonlinear processes
- Supervised process monitoring and fault diagnosis based on machine learning methods
- Enhanced SVM–KPCA Method for Brain MR Image Classification
- A new Bio-CAD system based on the optimized KPCA for relevant feature selection
- A new monitoring scheme of an air quality network based on the kernel method
- Monitoring nonlinear system using Bond Graph and PCA method
- Sensor fault detection using a new online reduced rank kernel PCA for monitoring an air quality monitoring network
- New kernel method for MRI classification
- Comparative study based on KPCA and KPLS monitoring techniques using the Chemical Stirred Tank Reactor (CSTR) nonlinear process
- An improved machine learning technique based on downsized KPCA for Alzheimer's disease classification
- Decentralized fault detection and isolation using bond graph and PCA methods
- Online fault detection and isolation of an AIR quality monitoring network based on machine learning and metaheuristic methods
- New online kernel method with the Tabu search algorithm for process monitoring
- Reduced Kernel Principal Component Analysis for Fault Detection and Its Application to an Air Quality Monitoring Network
- Fault Detection of the Tennessee Eastman Process using Online Reduced Kernel PCA
- Fault Diagnosis for Dynamic Nonlinear System Based on Variable Moving Window KPCA
- Online reduced kernel principal component analysis for process monitoring
- Nonlinear process monitoring based on new reduced Rank-KPCA method
- A new fault detection index based on Mahalanobis distance and kernel method
- An MR brain images classification technique via the Gaussian radial basis kernel and SVM
- Fault detection localization and reconstruction in nonlinear system using RKPCA method and RBC
- Online process monitoring based on kernel method
- The fault detection approach using bond graph model
- Moving window KPCA with reduced complexity for nonlinear dynamic process monitoring
- A new fault detection method for nonlinear process monitoring
- Kernel principal component analysis with reduced complexity for nonlinear dynamic process monitoring
- Fault detection and isolation in nonlinear systems with partial Reduced Kernel Principal Component Analysis method
- Identification of nonlinear systems with kernel methods
- New fault detection method based on reduced kernel principal component analysis (RKPCA)
- Online process monitoring using a new PCMD index
- A Fault Detection Index Using Principal Component Analysis And Mahalanobis Distance
- Identification of Non linear MISO Process using RKHS and Volterra models
- On the application of recursive principal component analysis method to fault detection and isolation
- Online identification of nonlinear system using a new kernel algorithm
- Identification of non linear system modeled in Reproducing Kernel Hilbert Space using a new criterion
- Identification of non linear system modeled in Reproducing Kernel Hilbert Space using a new criterion
- Hybrid kernel identification method based on support vector regression and regularisation network algorithms
- Online Prediction Model Based on New Kernel Method
- New Criterion for Choosing the Number of Parameters in a RKHS Model
- A new online fault detection method based on PCA technique
- Comparative study of PCA approaches for fault detection: Application to a chemical reactor
- A new online kernel method identification on RKHS space
- Online identification RKPCA-RN
- Online prediction model based on the SVD–KPCA method
- Design and comparative study of online kernel methods identification of nonlinear system in RKHS space
- Online identification of nonlinear system in the Reproducing Kernel Hilbert Space using SVDKPCA method
- Online identification of nonlinear system using reduced kernel principal component analysis
- A new approach for identification of MIMO non linear system with RKHS model
- Design and comparative study of the RKHS model reduction techniques
- Supervised learning with kernel methods
- Dimensionality reduction of RKHS model using Reduced Kernel Principal Component Analysis (RKPCA)
- Online prediction model based on Reduced Kernel Principal Component Analysis
- Modelling of a SISO and MIMO non linear communication channel using two modelling techniques
- Modelling and identification of MIMO non linear communication channel
- A comparative study of non linear MISO Process modelling techniques: Application to a chemical reactor
مجلات النشر
- The International Journal of Advanced Manufacturing Technology × 11
- IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) × 5
- International Conference on Computing and Information Technology (ICCIT) × 4
- Neural Computing and Applications × 3
- Measurement × 3
- International Multi-Conference on Systems, Signals & Devices (SSD) × 3
المنشورات حسب السنة
- 20262
- 20254
- 20243
- 20231
- 20228
- 20217
- 20206
- 20199
- 20187
- 20177
التعاون العلمي
المؤسسات الشريكة : Ecole Nationale d'Ingénieurs de Monastir · University of Monastir · University of Sousse · Institut Supérieur d'Informatique et des Technologies de Communication de Hammam Sousse · Badji Mokhtar-Annaba University
بلدان المؤلفين المشاركين : السعودية · الجزائر
المؤلفون المشاركون
- Hassani Messaoud
- Ilyes Elaissi
- Ines Jaffel
- Hajer Lahdhiri
- Maroua Said
- Khaoula Ben Abdellafou
- Radhia Fezai
- Nasreddine Bouguila
- Imen Hamrouni
- Kais Bouzrara
- Radhia Fazai
- Nadia Souilem
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
لماذا تختارون Dzcademia؟
ملفات أكاديمية ومقالات ومداخلات علمية: امنحوا أبحاثكم حضوراً عاماً منظماً. تساعد البيانات الوصفية المدمجة محركات البحث ومساعدات الذكاء الاصطناعي على التعرف على أعمالكم وفهم مراجعها.
علّق عبر Google
سجّل الدخول عبر Google للتعليق مباشرة على هذه الصفحة.