State Identification. - Moez Krichen (Model-Based Testing of Reactive Systems, 2004)

Real-Time Testing with Timed Automata Testers and Coverage Criteria. - Moez Krichen; Stavros Tripakis (FORMATS/FTRTFT, 2004)

Black-Box Conformance Testing for Real-Time Systems. - Moez Krichen; Stavros Tripakis (SPIN, 2004)

Testing Conformance of Real-Time Applications by Automatic Generation of Observers. - Saddek Bensalem; Marius Bozga; Moez Krichen; Stavros Tripakis (RV@ETAPS, 2004)

State Identification Problems for Timed Automata. - Moez Krichen; Stavros Tripakis (TestCom, 2005)

An Expressive and Implementable Formal Framework for Testing Real-Time Systems. - Moez Krichen; Stavros Tripakis (TestCom, 2005)

State-Identification Problems for Finite-State Transducers. - Moez Krichen; Stavros Tripakis (FATES/RV, 2006)

Interesting Properties of the Real-Time Conformance Relation. - Moez Krichen; Stavros Tripakis (ICTAC, 2006)

A Simplified Approach for Testing Real-Time Systems Based on Action Refinement. - Saddek Bensalem; Moez Krichen; Lotfi Majdoub; Riadh Robbana; Stavros Tripakis (ISoLA, 2007)

Conformance testing for real-time systems. - Moez Krichen; Stavros Tripakis (Formal Methods Syst. Des., 2009)

A Formal Framework for Conformance Testing of Distributed Real-Time Systems. - Moez Krichen (OPODIS, 2010)

A Distributed Test Architecture for Adaptable and Distributed Real-Time Systems. - Mariam Lahami; Moez Krichen; Mohamed Jmaiel (CAL, 2011)

Conformance Testing of WS-BPEL Compositions under Various Load Conditions. - Afef Jmal Maâlej; Moez Krichen; Mohamed Jmaiel (COMPSAC, 2012)

Model-Based Conformance Testing of WS-BPEL Compositions. - Afef Jmal Maâlej; Moez Krichen; Mohamed Jmaiel (COMPSAC Workshops, 2012)

Towards a TTCN-3 Test System for Runtime Testing of Adaptable and Distributed Systems. - Mariam Lahami; Fairouz Fakhfakh; Moez Krichen; Mohamed Jmaiel (ICTSS, 2012)

Using Knapsack Problem Model to Design a Resource Aware Test Architecture for Adaptable and Distributed Systems. - Mariam Lahami; Moez Krichen; Mariam Bouchakwa; Mohamed Jmaiel (ICTSS, 2012)

Off-line test selection with test purposes for non-deterministic timed automata - Nathalie Bertrand 001; Thierry Jéron; Amélie Stainer; Moez Krichen (Log. Methods Comput. Sci., 2012)

A formal framework for black-box conformance testing of distributed real-time systems. - Moez Krichen (Int. J. Crit. Comput. Based Syst., 2012)

Automated Significant Load Testing for WS-BPEL Compositions. - Afef Jmal Maâlej; Manel Hamza; Moez Krichen; Mohamed Jmaiel (ICST Workshops, 2013)

Runtime testing framework for improving quality in dynamic service-based systems. - Mariam Lahami; Moez Krichen; Mohamed Jmaiel (QASBA@ISSTA, 2013)

Conformance testing for quality assurance of clustering architectures. - Afef Jmal Maâlej; Zeineb Ben Makhlouf; Moez Krichen; Mohamed Jmaiel (QASBA@ISSTA, 2013)

WSCCT: a tool for WS-BPEL compositions conformance testing. - Afef Jmal Maâlej; Moez Krichen; Mohamed Jmaiel (SAC, 2013)

Test Isolation Policy for Safe Runtime Validation of Evolvable Software Systems. - Mariam Lahami; Moez Krichen (WETICE, 2013)

WSCLT: A Tool for WS-BPEL Compositions Load Testing. - Afef Jmal Maâlej; Manel Hamza; Moez Krichen (WETICE, 2013)

Selective Test Generation Approach for Testing Dynamic Behavioral Adaptations. - Mariam Lahami; Moez Krichen; Hajer Barhoumi; Mohamed Jmaiel (ICTSS, 2015)

Study on the Limitations of WS-BPEL Compositions Under Load Conditions. - Afef Jmal Maâlej; Moez Krichen (Comput. J., 2015)

A game approach to determinize timed automata. - Nathalie Bertrand 001; Amélie Stainer; Thierry Jéron; Moez Krichen (Formal Methods Syst. Des., 2015)

Runtime testing approach of structural adaptations for dynamic and distributed systems. - Mariam Lahami; Moez Krichen; Mohamed Jmaïel (Int. J. Comput. Appl. Technol., 2015)

A comparative evaluation of state-of-the-art load and stress testing approaches. - Afef Jmal Maâlej; Moez Krichen; Mohamed Jmaïel (Int. J. Comput. Appl. Technol., 2015)

A Model Based Approach to Combine Load and Functional Tests for Service Oriented Architectures. - Afef Jmal Maâlej; Moez Krichen (VECoS, 2016)

Safe and efficient runtime testing framework applied in dynamic and distributed systems. - Mariam Lahami; Moez Krichen; Mohamed Jmaiel (Sci. Comput. Program., 2016)

WSCLim: A Tool for Model-Based Testing of WS-BPEL Compositions Under Load Conditions. - Afef Jmal Maâlej; Moez Krichen; Mohamed Jmaïel (TAP@STAF, 2017)

Contributions to Model-Based Testing of Dynamic and Distributed Real-Time Systems. (Contributions au Test à Base-de-Modèles de Systèmes Temps-Réels Dynamiques et Distribués). - Moez Krichen (2018)

Towards a Test Execution Platform As-A-Service: Application in the E-Health Domain. - Mariam Lahami; Moez Krichen; Roobaea Alroobaea (ICCAD, 2018)

A Resource-Aware Model-Based Framework for Load Testing of WS-BPEL Compositions. - Moez Krichen; Afef Jmal Maâlej; Mariam Lahami; Mohamed Jmaiel (ICEIS (Revised Selected Papers), 2018)

Distributed and Resource-Aware Load Testing of WS-BPEL Compositions. - Afef Jmal Maâlej; Mariam Lahami; Moez Krichen; Mohamed Jmaïel (ICEIS (2), 2018)

A model-based approach to combine conformance and load tests: an eHealth case study. - Moez Krichen; Afef Jmal Maâlej; Mariam Lahami (Int. J. Crit. Comput. Based Syst., 2018)

Towards Optimizing the Placement of Security Testing Components for Internet of Things Architectures. - Moez Krichen; Roobaea Alroobaea (AICCSA, 2019)

Une Approche Formelle pour Combiner les Tests Fonctionnels et les Tests de Charge. - Moez Krichen; Afef Jmal Maâlej (CAL, 2019)

Une Approche de Test de Charge de Compositions de ServicesWeb. - Afef Jmal Maâlej; Moez Krichen (CAL, 2019)

A New Model-based Framework for Testing Security of IoT Systems in Smart Cities using Attack Trees and Price Timed Automata. - Moez Krichen; Roobaea Alroobaea (ENASE, 2019)

Improving and Optimizing Verification and Testing Techniques for Distributed Information Systems. - Moez Krichen (ICEIS (Revised Selected Papers), 2019)

Towards a Runtime Standard-based Testing Framework for Dynamic Distributed Information Systems. - Moez Krichen; Roobaea Alroobaea; Mariam Lahami (ICEIS (1), 2019)

Testing Real-Time Systems Using Determinization Techniques for Automata over Timed Domains. - Moez Krichen (ICTAC, 2019)

Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety. - Rateb Jabbar; Mohammed Shinoy; Mohamed Kharbeche; Khalifa Al-Khalifa; Moez Krichen; Kamel Barkaoui (IINTEC, 2019)

TEPaaS: test execution platform as-a-service applied in the context of e-health. - Mariam Lahami; Moez Krichen; Roobaea Alroobaea (Int. J. Auton. Adapt. Commun. Syst., 2019)

A Deep Learning Model to Predict Gender, Age and Occupation of the Celebrities based on Tweets Followers. - Roobaea Alroobaea; Ahmed H. Almulihi; Fahd S. Alharithi; Seifeddine Mechti; Moez Krichen; Lamia Hadrich Belguith (CLEF (Working Notes), 2020)

An OWASP Top Ten Driven Survey on Web Application Protection Methods. - Ouissem Ben Fredj; Omar Cheikhrouhou; Moez Krichen; Habib Hamam; Abdelouahid Derhab (CRiSIS, 2020)

A Formal Model-Based Testing Framework for Validating an IoT Solution for Blockchain-based Vehicles Communication. - Rateb Jabbar; Moez Krichen; Mohamed Kharbeche; Noora Fetais; Kamel Barkaoui (ENASE, 2020)

Adopting Formal Verification and Model-Based Testing Techniques for Validating a Blockchain-based Healthcare Records Sharing System. - Rateb Jabbar; Moez Krichen; Noora Fetais; Kamel Barkaoui (ICEIS (1), 2020)

Blockchain technology for healthcare: Enhancing shared electronic health record interoperability and integrity. - Rateb Jabbar; Noora Fetais; Moez Krichen; Kamel Barkaoui (ICIoT, 2020)

Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application. - Rateb Jabbar; Mohammed Shinoy; Mohamed Kharbeche; Khalifa Al-Khalifa; Moez Krichen; Kamel Barkaoui (ICIoT, 2020)

Ensuring the Correctness and Well Modeling of Intelligent Healthcare Management Systems. - Samir Ouchani; Moez Krichen (ICOST, 2020)

Multirate ECG Processing and k-Nearest Neighbor Classifier Based Efficient Arrhythmia Diagnosis. - Saeed Mian Qaisar; Moez Krichen; Fatma Jallouli (ICOST, 2020)

A Model-Based and Resource-Aware Testing Framework for Parking System Payment using Blockchain. - Rateb Jabbar; Moez Krichen; Mohammed Shinoy; Mohamed Kharbeche; Noora Fetais; Kamel Barkaoui (IWCMC, 2020)

CyberSecurity Attack Prediction: A Deep Learning Approach. - Ouissem Ben Fredj; Alaeddine Mihoub; Moez Krichen; Omar Cheikhrouhou; Abdelouahid Derhab (SIN, 2020)

Multi-path Coverage of All Final States for Model-Based Testing Theory Using Spark In-memory Design. - Wilfried Yves Hamilton Adoni; Moez Krichen; Tarik Nahhal; Abdeltif Elbyed (VECoS, 2020)

A survey of current challenges in partitioning and processing of graph-structured data in parallel and distributed systems. - Wilfried Yves Hamilton Adoni; Tarik Nahhal; Moez Krichen; Brahim Aghezzaf; Abdeltif Elbyed (Distributed Parallel Databases, 2020)

DHPV: a distributed algorithm for large-scale graph partitioning. - Wilfried Yves Hamilton Adoni; Tarik Nahhal; Moez Krichen; Abdeltif El byed; Ismail Assayad (J. Big Data, 2020)

Blockchain for the Internet of Vehicles: A Decentralized IoT Solution for Vehicles Communication Using Ethereum. - Rateb Jabbar; Mohamed Kharbeche; Khalifa Al-Khalifa; Moez Krichen; Kamel Barkaoui (Sensors, 2020)

Robust Malware Detection using Residual Attention Network. - Shamika Ganesan; Vinayakumar Ravi; Moez Krichen; V. Sowmya 001; Roobaea Alroobaea; Soman K. P. (ICCE, 2021)

Testing Timed Systems Using Determinization Techniques for One-Clock Timed Automata. - Moez Krichen (TACC, 2021)

Constriction Factor Particle Swarm Optimization based load balancing and cell association for 5G heterogeneous networks. - Mohammad Kamrul Hasan; Teong Chee Chuah; Ayman A. El-Saleh; Muhammad Shafiq 003; Shoaib Ahmed Shaikh; Shayla Islam; Moez Krichen (Comput. Commun., 2021)

Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives. - Wadii Boulila; Maha Driss; Mohammed Al-Sarem; Faisal Saeed; Moez Krichen (CoRR, 2021)

Monitoring Social Distancing Using Artificial Intelligence for Fighting COVID-19 Virus Spread. - Hashem Alyami; Wael Alosaimi; Moez Krichen; Roobaea Alroobaea (Int. J. Open Source Softw. Process., 2021)

Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification. - Saeed Mian Qaisar; Alaeddine Mihoub; Moez Krichen; Humaira Nisar (Sensors, 2021)

An opportunistic data dissemination for autonomous vehicles communication. - Asad Abbas; Moez Krichen; Roobaea Alroobaea; Sharaf Jameel Malebary; Usman Tariq; Md. Jalil Piran (Soft Comput., 2021)

A survey on runtime testing of dynamically adaptable and distributed systems. - Mariam Lahami; Moez Krichen (Softw. Qual. J., 2021)

A Comprehensive Review of Testing Blockchain Oriented Software. - Mariam Lahami; Afef Jmal Maâlej; Moez Krichen; Mohamed Amin Hammami (ENASE, 2022)

Efficient Machine-Learning Based 3D Face Identification System Under Large Pose Variation. - Souhir Sghaier; Moez Krichen; Abir Othman Elfaki; Qasem Abu Al-Haija (ICCCI (CCIS Volume), 2022)

Formal Methods for the Verification of Smart Contracts: A Review. - Moez Krichen; Mariam Lahami; Qasem Abu Al-Haija (SIN, 2022)

Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review. - Rateb Jabbar; Eya Dhib; Ahmed Ben Said; Moez Krichen; Noora Fetais; Esmat Zaidan; Kamel Barkaoui (IEEE Access, 2022)

Denial of service attack detection and mitigation for internet of things using looking-back-enabled machine learning techniques. - Alaeddine Mihoub; Ouissem Ben Fredj; Omar Cheikhrouhou; Abdelouahid Derhab; Moez Krichen (Comput. Electr. Eng., 2022)

Floating Nodes Assisted Cluster-Based Routing for Efficient Data Collection in Underwater Acoustic Sensor Networks. - Ghullam Murtaza Jatoi; Bhagwan Das; Sarang Karim; Jitander Kumar Pabani; Moez Krichen; Roobaea Alroobaea; Mahender Kumar (Comput. Commun., 2022)

A Lightweight In-Vehicle Alcohol Detection Using Smart Sensing and Supervised Learning. - Qasem Abu Al-Haija; Moez Krichen (Comput., 2022)

A decision system for computational authors profiling: From machine learning to deep learning. - Seifeddine Mechti; Moez Krichen; Dhouha Ben Noureddine; Lamia Hadrich Belguith (Concurr. Comput. Pract. Exp., 2022)

A deep learning approach for detecting the behaviour of people having personality disorders towards COVID-19 from Twitter. - Mourad Ellouze; Seifeddine Mechti; Moez Krichen; Vinayakumar Ravi; Lamia Hadrich Belguith (Int. J. Comput. Sci. Eng., 2022)

An Intelligent Sensor Based Decision Support System for Diagnosing Pulmonary Ailment through Standardized Chest X-ray Scans. - Shivani Batra; Harsh Sharma; Wadii Boulila; Vaishali Arya; Prakash Srivastava; Mohammad Zubair Khan; Moez Krichen (Sensors, 2022)

An Integrated Artificial Intelligence of Things Environment for River Flood Prevention. - Zakaria Boulouard; Mariyam Ouaissa; Mariya Ouaissa; Farhan Siddiqui; Mutiq Almutiq; Moez Krichen (Sensors, 2022)

An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks. - Muhammad Zia Ul Haq; Muhammad Zahid Khan; Haseeb Ur Rehman; Gulzar Mehmood; Ahmed Binmahfoudh; Moez Krichen; Roobaea Alroobaea (Sensors, 2022)

Blockchain for Modern Applications: A Survey. - Moez Krichen; Meryem Ammi; Alaeddine Mihoub; Mutiq Almutiq (Sensors, 2022)

Machine Learning with Adaptive Rate Processing for Power Quality Disturbances Identification. - Saeed Mian Qaisar; Nehal Alyamani; Asad Waqar; Moez Krichen (SN Comput. Sci., 2022)

Live video streaming service with pay-as-you-use model on Ethereum Blockchain and InterPlanetary file system. - Elio Jordan Lopes; Shaolin Kataria; Shashank Keshav; Sumaiya Thaseen Ikram; Muhammad Rukunuddin Ghalib; Achyut Shankar; Moez Krichen (Wirel. Networks, 2022)

Using Machine Learning for Earthquakes and Quarry Blasts Discrimination. - Mohamed S. Abdalzaher; Moez Krichen; Sayed S. R. Moustafa; Mohannad A. Alswailim (AICCSA, 2023)

Streamlining River Flood Prevention with an Integrated AIoT Framework. - Zakaria Boulouard; Mariya Ouaissa; Mariyam Ouaissa; Moez Krichen; Mutiq Almutiq; Mohammad Algarni (AICCSA, 2023)

Efficient Approaches for Safeguarding Sensitive Data during Natural Disasters. - Moez Krichen (AICCSA, 2023)

Formal Methods for Enhanced Natural Disaster Management. - Moez Krichen; Mohammed Yahya Alzahrani (AICCSA, 2023)

Advances in AI and Drone-based Natural Disaster Management: A Survey. - Moez Krichen; Mohamed S. Abdalzaher (AICCSA, 2023)

Generative Adversarial Networks. - Moez Krichen (ICCCNT, 2023)

Deep Reinforcement Learning. - Moez Krichen (ICCCNT, 2023)

Sentiment Analysis: Effect of Combining BERT as an Embedding Technique with CNN Model for Tunisian Dialect. - Seifeddine Mechti; Rim Faiz; Nabil Khoufi; Shaima Antit; Moez Krichen (ICIKS, 2023)

On Language-Based Opacity Verification Problem in Discrete Event Systems Under Orwellian Observation. - Salwa Habbachi; Imene Ben Hafaiedh; Zhiwu Li 001; Moez Krichen (VECoS, 2023)

Neural-Networks-Based Adaptive Fault-Tolerant Control of Nonlinear Systems With Actuator Faults and Input Quantization. - Mohamed Kharrat; Moez Krichen; Loay Alkhalifa; Karim Gasmi (IEEE Access, 2023)

Energy Consumption Monitoring System Based on IoT for Residential Rooftops. - Sarah El Himer; Mariyam Ouaissa; Mariya Ouaissa; Moez Krichen; Mohannad A. Alswailim; Mutiq Almutiq (Comput., 2023)

Strengthening the Security of Smart Contracts through the Power of Artificial Intelligence. - Moez Krichen (Comput., 2023)

Hybrid cloud storage system with enhanced multilayer cryptosystem for secure deduplication in cloud. - Nagappan Mageshkumar; J. Swapna; A. Pandiaraj; Rajakumar Ramalingam; Moez Krichen; Vinayakumar Ravi (Int. J. Intell. Networks, 2023)

A Deep Learning Methodology for Predicting Cybersecurity Attacks on the Internet of Things. - Omar Azib Alkhudaydi; Moez Krichen; Ans D. Alghamdi (Inf., 2023)

Formal Methods and Validation Techniques for Ensuring Automotive Systems Security. - Moez Krichen (Inf., 2023)

Smart Optimization Solution for Channel Access Attack Defense Under UAV-Aided Heterogeneous Network. - Zhaoyang Han; Yaoqi Yang; Muhammad Bilal 003; Weizheng Wang 001; Moez Krichen; Abeer Abdullah Alsadhan; Chunpeng Ge 001 (IEEE Internet Things J., 2023)

Enabling Efficient Data Integration of Industry 5.0 Nodes Through Highly Accurate Neural CSI Feedback. - Mostafa Hussien; Kim Khoa Nguyen; Ali Ranjha; Moez Krichen; Abdulaziz Alshammari; Mohamed Cheriet (IEEE Trans. Consumer Electron., 2023)

A Low-Rank Learning-Based Multi-Label Security Solution for Industry 5.0 Consumers Using Machine Learning Classifiers. - Ankita Sharma; Shalli Rani; Ali Kashif Bashir; Moez Krichen; Abdulaziz Alshammari (IEEE Trans. Consumer Electron., 2023)

Arrhythmia classification using multirate processing metaheuristic optimization and variational mode decomposition. - Saeed Mian Qaisar; Sibghatullah I. Khan; Kathiravan Srinivasan; Moez Krichen (J. King Saud Univ. Comput. Inf. Sci., 2023)

Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment. - Salah Zidi; Alaeddine Mihoub; Saeed Mian Qaisar; Moez Krichen; Qasem Abu Al-Haija (J. King Saud Univ. Comput. Inf. Sci., 2023)

An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0. - Oumaima Chakir; Abdeslam Rehaimi; Yassine Sadqi; El Arbi Abdellaoui Alaoui; Moez Krichen; Gurjot Singh Gaba; Andrei V. Gurtov (J. King Saud Univ. Comput. Inf. Sci., 2023)

Improving Formal Verification and Testing Techniques for Internet of Things and Smart Cities. - Moez Krichen (Mob. Networks Appl., 2023)

Identification, 3D-Reconstruction, and Classification of Dangerous Road Cracks. - Souhir Sghaier; Moez Krichen; Imed Ben Dhaou; Hela Elmannai; Reem Alkanhel (Sensors, 2023)

DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs. - Muhammad Ayzed Mirza; Junsheng Yu; Salman Raza; Moez Krichen; Manzoor Ahmed; Wali Ullah Khan; Khaled M. Rabie; Thokozani Shongwe (J. King Saud Univ. Comput. Inf. Sci., 2023)

Convolutional Neural Networks: A Survey. - Moez Krichen (Comput., 2023)

Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network. - Dalila Say; Salah Zidi; Saeed Mian Qaisar; Moez Krichen (Sensors, 2023)

Bird species recognition using spiking neural network along with distance based fuzzy co-clustering. - Ricky Mohanty; Hemanta Kumar Bhuyan; Subhendu Kumar Pani; Vinayakumar Ravi; Moez Krichen (Int. J. Speech Technol., 2023)

Network Slicing for Zero-Touch Networks: A Top-Notch Technology. - Shalli Rani; Himanshi Babbar; Moez Krichen; Keping Yu; Fida Hussain Memon (IEEE Netw., 2023)

Transfer learning-based quantized deep learning models for nail melanoma classification. - Mujahid Hussain; Makhmoor Fiza; Aiman Khalil; Asad Ali Siyal; Fayaz Ali Dharejo; Waheeduddin Hyder; Antonella Guzzo; Moez Krichen; Giancarlo Fortino (Neural Comput. Appl., 2023)

Survey on Blockchain-Based Data Storage Security for Android Mobile Applications. - Hussam Saeed Musa; Moez Krichen; Adem Alpaslan Altun; Meryem Ammi (Sensors, 2023)

Federated Learning in Clustered WSN for Natural Disaster Management. - Zouheir Belfeki; Mondher Bouazizi; Moez Krichen; Salah Zidi (AICCSA, 2024)

Lightweight AI-Driven Real-Time Intruder Detection System for IoT-Enabled Smart Meters. - Imed Ben Dhaou; Alaeddine Mihoub; Moez Krichen (ICSOC Workshops (1), 2024)

Generative AI for Software Development: A Survey. - Moez Krichen (ICSOC Workshops (1), 2024)

Towards an Ethereum Smart Contract Fuzz Testing Tool. - Mariam Lahami; Moez Krichen; Mohamed Ali Mnassar; Racem Mrabet; Mohamed Ben Rhouma (ICSOFT, 2024)

A Novel Deep Learning Approach for Myocardial Infarction Detection and Multi-Label Classification. - Sidra Abbas; Stephen Ojo; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Lucia Vilcekova (IEEE Access, 2024)

Effective Hypertension Detection Using Predictive Feature Engineering and Deep Learning. - Sidra Abbas; Gabriel Avelino R. Sampedro; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Rastislav Kulhanek (IEEE Access, 2024)

Optimal Ensemble Learning Model for Dyslexia Prediction Based on an Adaptive Genetic Algorithm. - Karim Gasmi; Lassaad Ben Ammar; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Manel Mrabet (IEEE Access, 2024)

Defending AI Models Against Adversarial Attacks in Smart Grids Using Deep Learning. - Gabriel Avelino R. Sampedro; Stephen Ojo; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Vincent Karovic 002 (IEEE Access, 2024)

Autism spectrum disorder detection in toddlers and adults using deep learning. - Sidra Abbas; Stephen Ojo; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Lucia Vilcekova (Int. J. Appl. Math. Comput. Sci., 2024)

SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection. - Tae Hoon Kim; Moez Krichen; Stephen Ojo; Gabriel Avelino R. Sampedro; Meznah A. Alamro (Frontiers Comput. Neurosci., 2024)

Performance enhancement of artificial intelligence: A survey. - Moez Krichen; Mohamed S. Abdalzaher (J. Netw. Comput. Appl., 2024)

Employing Machine Learning for Seismic Intensity Estimation Using a Single Station for Earthquake Early Warning. - Mohamed S. Abdalzaher; M. Sami Soliman; Moez Krichen; Meznah A. Alamro; Mostafa M. Fouda (Remote. Sens., 2024)

Exploiting smartphone defence: a novel adversarial malware dataset and approach for adversarial malware detection. - Tae Hoon Kim; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Gabriel Avelino R. Sampedro; Sidra Abbas (Peer Peer Netw. Appl., 2024)

Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation. - Mohamed Kharrat; Moez Krichen; Hadil Alhazmi; Paolo Mercorelli (J. Frankl. Inst., 2025)

Securing Realistic IoMT Environment Using Moth-Flame Optimization-Based Deep Learning Framework. - Roben A. Juanatas; Ahmad S. Almadhor; Shtwai Alsubai; Natalia Kryvinska; Moez Krichen; Gabriel Avelino R. Sampedro; Sidra Abbas (Secur. Priv., 2025)

A systematic literature review on dynamic testing of blockchain oriented software. - Mariam Lahami; Afef Jmal Maâlej; Moez Krichen (Sci. Comput. Program., 2025)

Automated explainable and interpretable framework for anomaly detection and human activity recognition in smart homes. - Tae Hoon Kim; Stephen Ojo; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Gabriel Avelino R. Sampedro (Neural Comput. Appl., 2025)

Correction: Automated explainable and interpretable framework for anomaly detection and human activity recognition in smart homes. - Tae Hoon Kim; Stephen Ojo; Moez Krichen; Meznah A. Alamro; Alaeddine Mihoub; Gabriel Avelino R. Sampedro (Neural Comput. Appl., 2025)