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2024
[49] Maximilian Weber, Ghofrane Fersi, Faouzi Derbel, Fog-based bootstrapping and failure repair protocols for Wake-up Receiver (WuRx)-based Wireless Sensor Networks, In IEEE Access, IEEE, 2024. [bibtex]
[48] Wajdi Elleuch, Underlay Loosely Coupled Model for Public Safety Networks Based on Device-to-Device Communication, In Telecom, volume 5, 2024. [bibtex] [pdf] [doi]
[47] Osama R Shahin, Karim Gasmi, Moez Krichen, Meznah A Alamro, Alaeddine Mihoub, Lassaad Ben Ammar, Mohammed Abdullah Tawashi, Optimized automated blood cells analysis using Enhanced Greywolf Optimization with integrated attention mechanism and YOLOv5, In Alexandria Engineering Journal, Elsevier, volume 109, 2024. [bibtex]
[46] Henda Sfaxi, Imene Lahyani, Sami Yangui, Mouna Torjmen, Latency-aware and proactive service placement for edge computing, In IEEE Transactions on Network and Service Management, IEEE, 2024. [bibtex]
[45] Rehab H Serag, Mohamed S Abdalzaher, Hussein Abd El Atty Elsayed, M Sobh, Moez Krichen, Mahmoud M Salim, Machine-learning-based traffic classification in software-defined networks, In Electronics, MDPI, volume 13, 2024. [bibtex]
[44] Dalila Say, Saeed Mian Qaisar, Moez Krichen, Salah Zidi, Artificial Intelligence Assistive Non-Destructive Testing of Welding Joints: A, In , 2024. [bibtex]
[43] Gabriel Avelino Sampedro, Stephen Ojo, Moez Krichen, Meznah A Alamro, Alaeddine Mihoub, Vincent Karovic, Defending AI Models Against Adversarial Attacks in Smart Grids Using Deep Learning, In IEEE Access, IEEE, 2024. [bibtex]
[42] Riadh Ben Halima Marwa Hachicha, Tarek Frikha, PreSA: an intelligent blockchain-based platform for monitoring and predicting water quality for smart aquaculture, In Neural Computing and Applications, Springer Nature, 2024. [bibtex] [doi]
[41] Stephen Ojo, Moez Krichen, Meznah A Alamro, Alaeddine Mihoub, TXAI-ADV: Trustworthy XAI for Defending AI Models against Adversarial Attacks in Realistic CIoT, In Electronics, MDPI, volume 13, 2024. [bibtex]
[40] Moez Krichen, Timed Automata-Based Strategy for Controlling Drone Access to Critical Zones: A UPPAAL Modeling Approach, In Electronics, MDPI, volume 13, 2024. [bibtex]
[39] Moez Krichen, Mohamed S Abdalzaher, Performance enhancement of artificial intelligence: A survey, In Journal of Network and Computer Applications, Academic Press, 2024. [bibtex]
[38] Moez Krichen, Ahmed Harbaoui, Optimizing Traveler Behavior Between MADINA and JEDDA Using UPPAAL Stratego: A Stochastic Priced Timed Games Approach, In Mathematics, MDPI, volume 12, 2024. [bibtex]
[37] Moez Krichen, Mohamed S Abdalzaher, Mohamed Elwekeil, Mostafa M Fouda, Managing natural disasters: An analysis of technological advancements, opportunities, and challenges, In Internet of Things and Cyber-Physical Systems, Elsevier, volume 4, 2024. [bibtex]
[36] Tae Hoon Kim, Moez Krichen, Stephen Ojo, Meznah A Alamro, Gabriel Avelino Sampedro, TSSG-CNN: A Tuberculosis Semantic Segmentation-Guided Model for Detecting and Diagnosis Using the Adaptive Convolutional Neural Network, In Diagnostics, MDPI, volume 14, 2024. [bibtex]
[35] Tae Hoon Kim, Moez Krichen, Stephen Ojo, Gabriel Avelino Sampedro, Meznah A Alamro, SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection, In Frontiers in Computational Neuroscience, Frontiers Media SA, volume 18, 2024. [bibtex]
[34] Tae Hoon Kim, Stephen Ojo, Moez Krichen, Meznah A Alamro, Single and Mixed Sensory Anomaly Detection in Connected and Automated Vehicle Sensor Networks, In Electronics, MDPI, volume 13, 2024. [bibtex]
[33] Tae Hoon Kim, Moez Krichen, Meznah A Alamro, Gabreil Avelino Sampedro, A Novel Dataset and Approach for Adversarial Attack Detection in Connected and Automated Vehicles, In Electronics, MDPI, volume 13, 2024. [bibtex]
[32] Tae hoon Kim, Moez Krichen, Meznah A Alamro, Alaeddine Mihoub, Gabriel Avelino Sampedro, Sidra Abbas, Exploiting smartphone defence: a novel adversarial malware dataset and approach for adversarial malware detection, In Peer-to-Peer Networking and Applications, Springer US New York, volume 17, 2024. [bibtex]
[31] Mohamed Kharrat, Moez Krichen, Loay Alkhalifa, Karim Gasmi, Neural networks-based adaptive command filter control for nonlinear systems with unknown backlash-like hysteresis and its application to single link robot manipulator, In AIMS Mathematics, volume 9, 2024. [bibtex]
[30] Afef Jmal Maâlej, Mohamed Salem Eleze, Case study method: A step‑by‑step black‑box audit for security study of Web applications, Chapter in , CRC Press. Taylor & Francis Group, 2024. [bibtex] [doi]
[29] Afef Jmal Maâlej, Mohamed Salem Eleze, Security study of Web applications through a white‑box audit approach: A case study, Chapter in , CRC Press. Taylor & Francis Group, 2024. [bibtex] [doi]
[28] Karim Gasmi, Lassaad Ben Ammar, Moez Krichen, Meznah A Alamro, Alaeddine Mihoub, Manel Mrabet, Optimal ensemble learning model for dyslexia prediction based on an adaptive genetic algorithm, In IEEE Access, IEEE, 2024. [bibtex]
[27] Karim Gasmi, Ahmed Kharrat, Lassaad Ben Ammar, Ibtihel Ben Ltaifa, Moez Krichen, Manel Mrabet, Hamoud Alshammari, Samia Yahyaoui, Kais Khaldi, Olfa Hrizi, Classification of MRI brain tumors based on registration preprocessing and deep belief networks, In Aims Mathematics, volume 9, 2024. [bibtex]
[26] Ghofrane Fersi, Mohamed Khalil Baazaoui, Rawdha Haddad, Faouzi Derbel, Machine Learning Based-RSSI Estimation Module in OMNET++ for Indoor Wireless Sensor Networks, In International Conference on Advanced Information Networking and Applications, 2024. [bibtex]
[25] Ghofrane Fersi, FOLLOWER: A Fog-based peer-to-peer routing protocol for mobile Internet of Things, In 2024 IEEE Symposium on Computers and Communications (ISCC), 2024. [bibtex]
[24] Fatma Ellouze, Ghofrane Fersi, Mohamed Jmaiel, Lightweight WEB3 interface for secure IoMT-Blockchain integration, In 2024 International Wireless Communications and Mobile Computing (IWCMC), 2024. [bibtex]
[23] Mohammed Boussetta, Wadie Bendali, Youssef Morad, Saad Motahhir, Moez Krichen, Saeed Mian Qaisar, Bayesian Optimization Algorithm for ConvLSTM-AE model To Forecast Solar Irradiation, In 2024 21st Learning and Technology Conference (L&T), 2024. [bibtex]
[22] Angham Boukhari, Aicha Choutri, Faiza Belala, Ahmed Hadj Kacem, Towards a Maude-Based Approach for Formal Modeling Deep Neural Networks, In International Conference on Language Processing and Knowledge Management, 2024. [bibtex]
[21] Zouheir Belfeki, Mondher Bouazizi, Moez Krichen, Salah Zidi, Federated Learning in Clustered WSN for Natural Disaster Management, In 2024 IEEE/ACS 21st International Conference on Computer Systems and Applications (AICCSA), 2024. [bibtex]
[20] Mohamed S Abdalzaher, Moez Krichen, Francisco Falcone, Leveraging internet of things and emerging technologies for earthquake disaster management: Challenges and future directions, In Progress in Disaster Science, Elsevier, 2024. [bibtex]
[19] Mohamed S Abdalzaher, Moez Krichen, Mostafa M Fouda, Enhancing earthquakes and quarry blasts discrimination using machine learning based on three seismic parameters, In Ain Shams Engineering Journal, Elsevier, volume 15, 2024. [bibtex]
[18] Mohamed S Abdalzaher, M Sami Soliman, Moez Krichen, Meznah A Alamro, Mostafa M Fouda, Employing machine learning for seismic intensity estimation using a single station for earthquake early warning, In Remote Sensing, MDPI, volume 16, 2024. [bibtex]
[17] Mohamed S Abdalzaher, Moez Krichen, Francisco Falcone, Emerging technologies and supporting tools for earthquake disaster management: A perspective, challenges, and future directions, In Progress in Disaster Science, volume 23, 2024. [bibtex]
[16] Sidra Abbas, Stephen Ojo, Moez Krichen, Meznah A Alamro, Alaeddine Mihoub, Lucia Vilcekova, A Novel Deep Learning Approach for Myocardial Infarction Detection and Multi-Label Classification, In IEEE Access, IEEE, 2024. [bibtex]
[15] Sidra Abbas, Gabriel Avelino Sampedro, Moez Krichen, Meznah A Alamro, Alaeddine Mihoub, Rastislav Kulhanek, Effective Hypertension Detection using Predictive Feature Engineering and Deep Learning, In IEEE Access, IEEE, 2024. [bibtex]
[14] Asad Abbas, Roobaea Alroobaea, Moez Krichen, Saeed Rubaiee, S Vimal, Fahad M Almansour, Blockchain-assisted secured data management framework for health information analysis based on Internet of Medical Things, In Personal and ubiquitous computing, Springer London London, volume 28, 2024. [bibtex]
[13] Sidra Abbas, Stephen Ojo, Moez Krichen, Meznah A Alamro, Alaeddine Mihoub, Lucia Vilcekova, Autism Spectrum disorder Detection in Toddlers and Adults Using Deep Learning, In International Journal of Applied Mathematics and Computer Science, De Gruyter Poland, volume 34, 2024. [bibtex]
[12] Zina Zammel, Nesrine Khabou, Lotfi Souifi, Ismael Bouassida Rodriguez, Time Series Prediction Models in Healthcare: Systematic Literature Review, In Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 3, Rome, Italy, February 24-26, 2024 (Ana Paula Rocha, Luc Steels, H. Jaap van den Herik, eds.), SCITEPRESS, 2024. [bibtex] [pdf] [doi]
[11] Lotfi Souifi, Nesrine Khabou, Ismael Bouassida Rodriguez, Ahmed Hadj Kacem, Towards the Use of AI-Based Tools for Systematic Literature Review, In Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 2, Rome, Italy, February 24-26, 2024 (Ana Paula Rocha, Luc Steels, H. Jaap van den Herik, eds.), SCITEPRESS, 2024. [bibtex] [pdf] [doi]
[10] Proceedings of the 3rd Tunisian-Algerian Joint Conference on Applied Computing (TACC 2023), Sousse, Tunisia, November 8-10, 2023, (Ismael Bouassida Rodriguez, Slim Kallel, Zakaria Benzadri, Faiza Belala, Ahmed Hadj Kacem, eds.), CEUR-WS.org, volume 3642, 2024. [bibtex] [pdf]
[9] Souha Ben Hamouda, Mohamed Jmaiel, Wafa Gabsi, Bechir Zalila, A Framework for the Automatic Conversion of Text into Sign Language, In Service-Oriented Computing - 22nd International Conference, ICSOC 2024, Tunis, Tunisia, December 3--6, 2024, Workshops, Springer, volume 15405, 2024. [bibtex]
[8] Dorsaf Zekri, Ahmed Snoun, Thierry Delot, Marie Thilliez, A Deep Learning Based System For a Long-term Elderly Behavioral Drift Detection, In SN Comput. Sci., volume 5, 2024. [bibtex] [pdf] [doi]
[7] Najla Fattouch, Imen Ben Lahmar, Khouloud Boukadi, Reinforcement Learning based Fog and Cloud Resource Allocation for an IoRT-aware Business Process, In Computación y Sistemas (CyS), volume 28, 2024. [bibtex] [pdf]
[6] Amal Abid, Saoussen Cheikhrouhou, Slim Kallel, Zahir Tari, Mohamed Jmaiel, A Smart Contract-Based Access Control Framework For Smart Healthcare Systems, In Comput. J., volume 67, 2024. [bibtex] [pdf] [doi]
[5] Wajdi Elleuch, Underlay Loosely Coupled Model Based on D2D Direct Communication for Public Safety Networks, In 19th Wireless On-Demand Network Systems and Services Conference, WONS 2024, Chamonix, France, January 29-31, 2024, IEEE, 2024. [bibtex] [pdf] [doi]
[4] Mariam Lahami, Moez Krichen, Mohamed Ali Mnassar, Racem Mrabet, Mohamed Ben Rhouma, Towards an Ethereum Smart Contract Fuzz Testing Tool, In Proceedings of the 19th International Conference on Software Technologies, ICSOFT 2024, Dijon, France, July 8-10, 2024, SCITEPRESS, 2024. [bibtex] [pdf] [doi]
[3] Rim Ben Fekih, Mariam Lahami, Mohamed Salem El Eze, Salma Bradai, Mohamed Jmaiel, Towards an Automated Verification Approach for ERC-Based Smart Contracts, In Service-Oriented Computing - 22nd International Conference, ICSOC 2024, Tunis, Tunisia, December 3-6, 2024, Proceedings, Part II, Springer, volume 15405, 2024. [bibtex] [pdf] [doi]
[2] Dorsaf Zekri, Ahmed Snoun, Thierry Delot, Marie Thilliez, Daily Activities Forecasting for Long-Term Elderly Behavior Change Detection, In Computational Collective Intelligence - 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024, Proceedings, Part II, Springer, volume 14811, 2024. [bibtex] [pdf] [doi]
[1] Rahma Trabelsi, Ghofrane Fersi, Mohamed Jmaiel, A fog and blockchain-based distributed Virtual Private Networks (VPN), In 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), volume , 2024. [bibtex] [doi]


ReDCAD


National School of Engineering of Sfax
www.enis.rnu.tn

University of Sfax, Tunisia
www.uss.rnu.tn

Contact


Prof. Dr. Eng. Mohamed Jmaiel

Research Center for Computer Science, Multimedia and Digital Data Processing of Sfax, Send an Email
Phone: +216 74 666 578

Address


National School of Engineers of Sfax
Department of Computer Science and Applied Mathematics
ReDCAD Laboratory
B.P. 1173, 3038 Sfax, Tunisia