الرئيسية › دليل الباحثين › Tarek Moulahi
Tarek Moulahi
الانتماء : Qassim University
- 67منشورات (انتماء سعودي)
- 108مجموع المنشورات
- 1873الاستشهادات
- 20مؤشر h
الملف البحثي
لدى Tarek Moulahi 67 منشور(ات) مفهرسة (2012–2026). تُنشر أعماله أساسًا في «International Wireless Communications and Mobile Computing Conference (IWCMC)»، «International Journal of Communication Systems» و«IEEE Access». أكثر مقالاته استشهادًا هو «Fault Detection in Wireless Sensor Networks Through SVM Classifier» (2017)، وقد استُشهد به 328 مرة. 24 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 12 باحثًا على الأقل، منهم باحثون من مؤسسات في تونس، فرنسا.
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إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Mobile Ad Hoc Networks
- Vehicular Ad Hoc Networks (VANETs)
- Energy Efficient Wireless Sensor Networks
- Traffic control and management
- Security in Wireless Sensor Networks
المنشورات (67)
- Optimizing Dynamic Ambulance Routing Problem: A Two-Phase Strategy Combining K -means Clustering and Multi-Objective Particle Swarm Optimization
- Improving clustering stability in intelligent vehicular networks using Graph Neural Networks
- A privacy-aware federated learning framework for collaborative healthcare IoT security
- FedCross: Cross-Layer Federated Learning for Reliable and Efficient IoT in Realistic Environments
- A novel magnetic localization algorithm for wireless endoscopic capsules in e-Health
- Reliable and privacy-preserving collaborative AI in multi-tier distributed architectures
- Adaptive CABAC/CAVLC hardware design for entropic coding in H.264/AVC
- Hardware-constrained deployment of an INT8 MobileNetV1 for single-image human activity recognition on an STM32F407 microcontroller
- Solar-powered VANET architecture for sustainable and smart traffic management in arid regions
- Federated Learning Harnessed with Differential Privacy for Heart Disease Prediction: Enhancing Privacy and Accuracy
- Exploring machine learning techniques for detecting anomalies in digital forensics: a survey
- Classification of Electrocardiographic Signals Using CNN Models
- Classification of Diabetic Retinopathy Using Convolutional Neural Network (CNN) and Efficientnet-B1*
- Energy efficient cluster routing protocol for wireless sensor networks using hybrid metaheuristic approache’s
- Towards smarter cyberthreats detection model for industrial internet of things (IIoT) 4.0
- A Privacy-Enhanced Framework for Chest Disease Classification Using Federated Learning and Blockchain
- Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment
- Protecting machine learning systems using blockchain: solutions, challenges and future prospects
- Advancing Federated Learning: Optimizing Model Accuracy through Privacy-Conscious Data Sharing
- Preserving Data Integrity and Detecting Toxic Recordings in Machine Learning using Blockchain
- Video watermarking technique using motion vectors to video authentication
- Blockchain for Machine Learning Protetion Against Attacks in IoT
- Exploring machine learning techniques for detecting anomalies in digital forensics: a survey
- Classification of ECG signals using CNN models
- A blockchain-based federated learning mechanism for privacy preservation of healthcare IoT data
- Integration of artificial intelligence (AI) with sensor networks: Trends, challenges, and future directions
- Leveraging Artificial Intelligence in Blockchain-Based E-Health for Safer Decision Making Framework
- Steam computing paradigm: Cross‐layer solutions over cloud, fog, and edge computing
- Effects of dataset attacks on machine learning models in e-health
- Reliable Framework for Digital Forensics in Medical Internet of Things
- Intelligent Chain: A Safer Decision-Making Framework with Blockchain-Based Incentives
- Privacy‐preserving federated learning cyber‐threat detection for intelligent transport systems with blockchain‐based security
- A machine learning process for examining the linkage among disaggregated energy consumption, economic growth, and environmental degradation
- [Retracted] Cloud‐IoT Resource Management Based on Artificial Intelligence for Energy Reduction
- Leveraging Artificial Intelligence in blockchain-based E-health for safer decision making framework
- Missing Data Recovery in the E-health Context Based on Machine Learning Models
- Optimized Stacked Auto-Encoder for Unnecessary Data Reduction in Cloud of Things
- Missing Data Recovery in the e-health context based on Machine Learning models
- Survey on Artificial Intelligence (AI) techniques for Vehicular Ad-hoc Networks (VANETs)
- Comparative Performance Evaluation of Intrusion Detection Based on Machine Learning in In-Vehicle Controller Area Network Bus
- A fog computing data reduce level to enhance the cloud of things performance
- A Novel Deep Reinforcement Learning Based Relay Selection for Broadcasting in Vehicular Ad Hoc Networks
- Joining Formal Concept Analysis to Feature Extraction for Data Pruning in Cloud of Things
- A Novel Realistic Dataset for Intrusion Detection in IoT based on Machine Learning
- Grey Wolf Optimizer Enhanced SVM for IoT Fault Detection
- Vote and KNN outlier detection in Wireless Sensor Networks
- On the Comparison of Broadcasting Techniques in Vehicular Ad hoc Networks
- Improved node localization using K-means clustering for Wireless Sensor Networks
- Enhancing VANETs Broadcasting Performance with Mobility Prediction for Smart Road
- QoS evaluation model based on intelligent fuzzy system for vehicular ad hoc networks
- BaaS: Broadcast as a service cross-layer learning-based approach in cloud assisted VANETs
- QoS‐aware broadcasting in VANETs based on fuzzy logic and enhanced kinetic multipoint relay
- An adjusted K‐medoids clustering algorithm for effective stability in vehicular ad hoc networks
- Relay Selection Based on Deep Learning for Broadcasting in VANET
- Video Streaming in Vehicular Ad Hoc Networks: Applications, Challenges and techniques
- QoS‐aware broadcasting in VANETs based on fuzzy logic and enhanced kinetic multipoint relay
- Construction of a stable vehicular ad hoc network based on hybrid genetic algorithm
- A Scatter Search Based Heuristic for Reliable Clustering in Vehicular Ad Hoc Networks
- Measuring QoS for Broadcasting Task in Vehicular Ad Hoc Networks based on Fuzzy Logic Projection
- Fault Detection in Wireless Sensor Networks Through SVM Classifier
- A survey and comparative study of QoS aware broadcasting techniques in VANET
- Reliable relay‐based broadcasting through formal concept analysis for WSNs
- Fault-tolerant flooding through formal concept analysis for wireless sensor networks
- Maximizing clusters lifetime in Mobile Wireless Sensor Networks
- Fault-Tolerant Energy-Efficient Tree in Dynamic WSNs
- On the construction of load-balanced (k, r-hop)-connected dominating set for WSNs
- Broadcasting Based on Dominated Connecting Sets with MPR in a Realistic Environment for WSNs & AD-HOC
مجلات النشر
- International Wireless Communications and Mobile Computing Conference (IWCMC) × 5
- International Journal of Communication Systems × 4
- IEEE Access × 3
- Research Square × 3
- International Conference on Agents and Artificial Intelligence (ICAART) × 2
- Computing × 2
المنشورات حسب السنة
- 20269
- 20254
- 202411
- 20237
- 20227
- 20219
- 20205
- 20194
- 20183
- 20172
التعاون العلمي
المؤسسات الشريكة : University of Gabès · University of Sfax · University of Gafsa · University of Kairouan · Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies
بلدان المؤلفين المشاركين : تونس · فرنسا
المؤلفون المشاركون
- Salim El Khediri
- Abdulatif Alabdulatif
- Rejab Hajlaoui
- Bechir Alaya
- Mushira Mustafa Freihat
- Rehan Ullah Khan
- Sami Mahfoudhi
- Afef Selmi
- Salem Nasri
- Khawla Almutawa
- Adel Thaljaoui
- Ines Rahmany
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
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