A new delay testing signal scheme robust to power distribution network impedance variation. - Claude Thibeault; Ali Louati (VTS, 2017)

An artificial immune network to control interrupted flow at a signalized intersection. - Ali Louati; Saber Darmoul; Sabeur Elkosantini; Lamjed Ben Said (Inf. Sci., 2018)

An immune memory inspired case-based reasoning system to control interrupted flow at a signalized intersection. - Ali Louati; Sabeur Elkosantini; Saber Darmoul; Lamjed Ben Said (Artif. Intell. Rev., 2019)

Solving Combinatorial Multi-Objective Bi-Level Optimization Problems Using Multiple Populations and Migration Schemes. - Rihab Said; Slim Bechikh; Ali Louati; Abdulaziz Aldaej; Lamjed Ben Said (IEEE Access, 2020)

A hybridization of deep learning techniques to predict and control traffic disturbances. - Ali Louati (Artif. Intell. Rev., 2020)

Multi-agent deep neural networks coupled with LQF-MWM algorithm for traffic control and emergency vehicles guidance. - Ali Louati; Hassen Louati; Muneer Nusir; Benny Hardjono (J. Ambient Intell. Humaniz. Comput., 2020)

Feature construction as a bi-level optimization problem. - Marwa Hammami; Slim Bechikh; Ali Louati; Mohamed Makhlouf; Lamjed Ben Said (Neural Comput. Appl., 2020)

Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification. - Hassen Louati; Slim Bechikh; Ali Louati; Abdulaziz Aldaej; Lamjed Ben Said (IEA/AIE (1), 2021)

Deep convolutional neural network architecture design as a bi-level optimization problem. - Hassen Louati; Slim Bechikh; Ali Louati; Chih-Cheng Hung; Lamjed Ben Said (Neurocomputing, 2021)

Deep learning and case-based reasoning for predictive and adaptive traffic emergency management. - Ali Louati; Hassen Louati; Zhaojian Li 001 (J. Supercomput., 2021)

Design and Compression Study for Convolutional Neural Networks Based on Evolutionary Optimization for Thoracic X-Ray Image Classification. - Hassen Louati; Ali Louati; Slim Bechikh; Lamjed Ben Said (ICCCI, 2022)

Evolutionary Optimization for CNN Compression Using Thoracic X-Ray Image Classification. - Hassen Louati; Slim Bechikh; Ali Louati; Abdulaziz Aldaej; Lamjed Ben Said (IEA/AIE, 2022)

Privacy-preserving dynamic average consensus via state decomposition: Case study on multi-robot formation control. - Kaixiang Zhang 001; Zhaojian Li 001; Yongqiang Wang 001; Ali Louati; Jian Chen 005 (Autom., 2022)

Topology optimization search of deep convolution neural networks for CT and X-ray image classification. - Hassen Louati; Ali Louati; Slim Bechikh; Fatma Masmoudi; Abdulaziz Aldaej; Elham Kariri (BMC Medical Imaging, 2022)

Price forecasting for real estate using machine learning: A case study on Riyadh city. - Ali Louati; Rahma Lahyani; Abdulaziz Aldaej; Abdullah Aldumaykhi; Saad Otai (Concurr. Comput. Pract. Exp., 2022)

Joint design and compression of convolutional neural networks as a Bi-level optimization problem. - Hassen Louati; Slim Bechikh; Ali Louati; Abdulaziz Aldaej; Lamjed Ben Said (Neural Comput. Appl., 2022)

Cloud-Assisted Collaborative Road Information Discovery With Gaussian Process: Application to Road Profile Estimation. - Mohammad R. Hajidavalloo; Zhaojian Li 001; Xin Xia 007; Ali Louati; Minghui Zheng; Weichao Zhuang (IEEE Trans. Intell. Transp. Syst., 2022)

Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning. - Hassen Louati; Ali Louati; Elham Kariri; Slim Bechikh (ICCCI (CCIS Volume), 2023)

Mechanical System Inspired Microscopic Traffic Model: Modeling, Analysis, and Validation. - Mohammad R. Hajidavalloo; Zhaojian Li 001; Dong Chen 016; Ali Louati; Shuo Feng 002; Wubing B. Qin (IEEE Trans. Intell. Veh., 2023)

Embedding channel pruning within the CNN architecture design using a bi-level evolutionary approach. - Hassen Louati; Ali Louati; Slim Bechikh; Elham Kariri (J. Supercomput., 2023)

Cloud-assisted collaborative estimation for next-generation automobile sensing. - Ali Louati (Eng. Appl. Artif. Intell., 2023)

Dynamic Job Shop Scheduling Problem With New Job Arrivals Using Hybrid Genetic Algorithm. - Kaouther Ben Ali; Slim Bechikh; Ali Louati; Hassen Louati; Elham Kariri (IEEE Access, 2024)

Adopting Artificial Intelligence to Strengthen Legal Safeguards in Blockchain Smart Contracts: A Strategy to Mitigate Fraud and Enhance Digital Transaction Security. - Hassen Louati; Ali Louati; Abdulla Almekhlafi; Maha Elsaka; Meshal Alharbi; Elham Kariri; Youssef N. Altherwy (J. Theor. Appl. Electron. Commer. Res., 2024)

Joint filter and channel pruning of convolutional neural networks as a bi-level optimization problem. - Hassen Louati; Ali Louati; Slim Bechikh; Elham Kariri (Memetic Comput., 2024)

Advancing Sustainable COVID-19 Diagnosis: Integrating Artificial Intelligence with Bioinformatics in Chest X-ray Analysis. - Hassen Louati; Ali Louati; Rahma Lahyani; Elham Kariri; Abdullah Albanyan (Inf., 2024)

Harnessing Machine Learning to Unveil Emotional Responses to Hateful Content on Social Media. - Ali Louati; Hassen Louati; Abdullah Albanyan; Rahma Lahyani; Elham Kariri; Abdulrahman Alabduljabbar (Comput., 2024)

Machine Learning and Artificial Intelligence for a Sustainable Tourism: A Case Study on Saudi Arabia. - Ali Louati; Hassen Louati; Meshal Alharbi; Elham Kariri; Turki Khawaji; Yasser Almubaddil; Sultan Aldwsary (Inf., 2024)

Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs. - Hassen Louati; Ali Louati; Khalid Mansour; Elham Kariri (IEEE Access, 2025)