الرئيسية › دليل الباحثين › Moez Krichen
Moez Krichen
الانتماء : University of Sfax · Al Baha University
- 216منشورات (انتماء تونسي)
- 339مجموع المنشورات
- 7496الاستشهادات
- 44مؤشر h
الملف البحثي
لدى Moez Krichen 216 منشور(ات) مفهرسة (2022–2026). تُنشر أعماله أساسًا في «IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)»، «Lecture notes in computer science» و«Lecture notes in networks and systems». أكثر مقالاته استشهادًا هو «Convolutional Neural Networks: A Survey» (2023)، وقد استُشهد به 624 مرة. 52 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 12 باحثًا على الأقل، منهم باحثون من مؤسسات في السعودية، سلوفاكيا، الهند.
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إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Software Testing and Debugging Techniques
- Formal Methods in Verification
- Blockchain Technology Applications and Security
- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
المنشورات (216)
- A systematic survey on clustering in federated learning
- Formal Methods for Cyber-Physical Systems
- Machine Learning for Cyber-Physical Systems: A Short Survey
- CT-Malaria Detection via Adaptive-Weighted Deep Learning Models
- Lightweight deep learning for medical imaging using MobileNetV2-based brain pathology classification with Grad-CAM interpretability
- FLAME: Federated Learning and Aggregated Multi-Model Ensemble for Multi-Class Alzheimer’s Disease Stage Classification from Structured Clinical Data
- Architectural perspectives on GenAI-driven software testing systems: A systematic literature review
- Data-aware disk-covering clustering for federated learning in WSNs: communication overhead and energy analysis
- Long Short-Term Memory Networks: A Comprehensive Survey
- Digital twin based deep learning framework for personalized thermal comfort prediction and energy efficient operation in smart buildings
- Artificial intelligence assisted non-destructive testing of welding joints: A review of techniques, X-ray image processing and applications
- Federated learning for natural disaster management: challenges, opportunities, and future directions
- AntiPhishX: An AI-driven service-oriented ensemble framework for detecting phishing and ai-powered phishing attacks
- Neural Network-Based Finite-Time Control for Stochastic Nonlinear Systems with Input Dead-Zone and Saturation
- Automated explainable and interpretable framework for anomaly detection and human activity recognition in smart homes
- Generative AI for Code Development: Advancements, Limitations, and Prospects
- Correction: Automated explainable and interpretable framework for anomaly detection and human activity recognition in smart homes
- Lightweight AI-Driven Real-Time Intruder Detection System for IoT-Enabled Smart Meters
- Data-Aware Clustered Federated Learning in WSNs for Natural Disaster Management
- AI-Driven Medical Image Analysis: Challenges and Limitations
- Blockchain-Enabled Disaster Resilience: A Paradigm for Enhancing Transparency, Securing Funds, and Optimizing Aid Delivery
- Artificial Intelligence Assistive Non-Destructive Testing of Welding Joints: A Review
- A Survey on Mutation Testing
- Generative AI for Software Development: A Survey
- Privacy-preserving breast disease detection via federated GA-optimized ensembles learning
- Machine-Learning-Based Traffic Classification in Software-Defined Networks
- Emerging technologies and supporting tools for earthquake disaster management: A perspective, challenges, and future directions
- Performance enhancement of artificial intelligence: A survey
- Employing Machine Learning for Seismic Intensity Estimation Using a Single Station for Earthquake Early Warning
- Enhancing earthquakes and quarry blasts discrimination using machine learning based on three seismic parameters
- A tweet sentiment classification approach using an ensemble classifier
- TSSG-CNN: A Tuberculosis Semantic Segmentation-Guided Model for Detecting and Diagnosis Using the Adaptive Convolutional Neural Network
- Optimal Ensemble Learning Model for Dyslexia Prediction Based on an Adaptive Genetic Algorithm
- Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
- Optimized automated blood cells analysis using Enhanced Greywolf Optimization with integrated attention mechanism and YOLOv5
- TXAI-ADV: Trustworthy XAI for Defending AI Models against Adversarial Attacks in Realistic CIoT
- Classification of MRI brain tumors based on registration preprocessing and deep belief networks
- Data Assimilation Enhances WRF-Chem Performance in Modeling Volcanic Ash Clouds from Hunga Tonga–Hunga Ha’apai Eruption
- A systematic literature review on dynamic testing of blockchain oriented software
- A Novel Dataset and Approach for Adversarial Attack Detection in Connected and Automated Vehicles
- Improving Multiple Sclerosis Disease Prediction Using Hybrid Deep Learning Model
- Federated Learning in Clustered WSN for Natural Disaster Management
- Single and Mixed Sensory Anomaly Detection in Connected and Automated Vehicle Sensor Networks
- Autism spectrum disorder detection in toddlers and adults using deep learning
- Exploiting smartphone defence: a novel adversarial malware dataset and approach for adversarial malware detection
- Securing Data Based on Lightweight Algorithm for Internet of Things Networks
- Optimizing Traveler Behavior Between MADINA and JEDDA Using UPPAAL Stratego: A Stochastic Priced Timed Games Approach
- Sentiment Analysis: Effect of Combining BERT as an Embedding Technique with CNN Model for Tunisian Dialect
- The role of observation nudging in high-resolution simulations of the 2016 Tunisian dust storm event
- Méthodes formelles pour une gestion améliorée des catastrophes naturelles
- Towards an Ethereum Smart Contract Fuzz Testing Tool
- Correction: The role of observation nudging in high-resolution simulations of the 2016 Tunisian dust storm event
- Convolutional Neural Networks: A Survey
- Connected and Automated Vehicles: Infrastructure, Applications, Security, Critical Challenges, and Future Aspects
- Managing natural disasters: An analysis of technological advancements, opportunities, and challenges
- Generative Adversarial Networks
- Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey
- A comprehensive review of Gaussian atmospheric dispersion models: current usage and future perspectives
- A Survey on Formal Verification and Validation Techniques for Internet of Things
- A Deep Learning Methodology for Predicting Cybersecurity Attacks on the Internet of Things
- Real time health care big data analytics model for improved QoS in cardiac disease prediction with IoT devices
- Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network
- Strengthening the Security of Smart Contracts through the Power of Artificial Intelligence
- A Survey on Energy Storage: Techniques and Challenges
- An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0
- Comparative analysis of different MPPT techniques using boost converter for photovoltaic systems under dynamic shading conditions
- Survey on Blockchain-Based Data Storage Security for Android Mobile Applications
- A Low-Rank Learning-Based Multi-Label Security Solution for Industry 5.0 Consumers Using Machine Learning Classifiers
- Formal Methods and Validation Techniques for Ensuring Automotive Systems Security
- DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs
- Transfer learning-based quantized deep learning models for nail melanoma classification
- Smart Optimization Solution for Channel Access Attack Defense Under UAV-Aided Heterogeneous Network
- Visual Speech Recognition for Kannada Language Using VGG16 Convolutional Neural Network
- Enabling Efficient Data Integration of Industry 5.0 Nodes Through Highly Accurate Neural CSI Feedback
- Deep Reinforcement Learning
- Energy Consumption Monitoring System Based on IoT for Residential Rooftops
- Advances in AI and Drone-based Natural Disaster Management: A Survey
- Bird species recognition using spiking neural network along with distance based fuzzy co-clustering
- Audiovisual speech recognition based on a deep convolutional neural network
- Road Scanner: A Road State Scanning Approach Based on Machine Learning Techniques
- Network Slicing for Zero-Touch Networks: A Top-Notch Technology
- Neural-Networks-Based Adaptive Fault-Tolerant Control of Nonlinear Systems With Actuator Faults and Input Quantization
- How Artificial Intelligence Can Revolutionize Software Testing Techniques
- Identification, 3D-Reconstruction, and Classification of Dangerous Road Cracks
- Hybrid cloud storage system with enhanced multilayer cryptosystem for secure deduplication in cloud
- Influence of Spectral Bands on Satellite Image Classification Using Vision Transformers
- Using Machine Learning for Earthquakes and Quarry Blasts Discrimination
- Transfer Learning Based Pediatric Pneumonia Diagnosis Using Residual Attention Learning
- Unmanned Aerial Vehicles Communications Security Challenges: A Survey
- Streamlining River Flood Prevention with an Integrated AIoT Framework
- COV19-Dijkstra: A COVID-19 Propagation Model Based on Dijkstra’s Algorithm
- Analyzing Malware From API Call Sequences Using Support Vector Machines
- Short Survey on Using Blockchain Technology in Modern Wireless Networks, IoT and Smart Grids
- Biometric Recognition Systems: A Short Survey
- Verification and Evaluation of Computer and Communication Systems
- On Language-Based Opacity Verification Problem in Discrete Event Systems Under Orwellian Observation
- Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review
- Crops yield prediction based on machine learning models: Case of West African countries
- Denial of service attack detection and mitigation for internet of things using looking-back-enabled machine learning techniques
- Blockchain for Modern Applications: A Survey
مجلات النشر
- IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) × 5
- Lecture notes in computer science × 4
- Lecture notes in networks and systems × 4
- Electronics × 4
- Sensors × 4
- Neural Computing and Applications × 3
المنشورات حسب السنة
- 20268
- 202517
- 202427
- 202344
- 20224
التعاون العلمي
المؤسسات الشريكة : Qassim University · Taif University · Jouf University · Tunis El Manar University · Princess Nourah bint Abdulrahman University
بلدان المؤلفين المشاركين : السعودية · سلوفاكيا · الهند
المؤلفون المشاركون
- Mariam Lahami
- Afef Jmal Maâlej
- Mohamed Jmaïel
- Seifeddine Mechti
- Salah Zidi
- Omar Cheikhrouhou
- Ouissem Ben Fredj
- Dhouha Ben Noureddine
- R. Vinayakumar
- Dalila Say
- Alaeddine Mihoub
- Montassar Kahia
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
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