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  1. No Access

    Article

    Joint filter and channel pruning of convolutional neural networks as a bi-level optimization problem

    Deep neural networks, specifically deep convolutional neural networks (DCNNs), have been highly successful in machine learning and computer vision, but a significant challenge when using these networks is choo...

    Hassen Louati, Ali Louati, Slim Bechikh, Elham Kariri in Memetic Computing (2024)

  2. Article

    Embedding channel pruning within the CNN architecture design using a bi-level evolutionary approach

    Remarkable advancements have been achieved in machine learning and computer vision through the utilization of deep neural networks. Among the most advantageous of these networks is the convolutional neural net...

    Hassen Louati, Ali Louati, Slim Bechikh, Elham Kariri in The Journal of Supercomputing (2023)

  3. Article

    Joint design and compression of convolutional neural networks as a Bi-level optimization problem

    Over the last decade, deep neural networks have shown great success in the fields of machine learning and computer vision. Currently, the CNN (convolutional neural network) is one of the most successful networ...

    Hassen Louati, Slim Bechikh, Ali Louati in Neural Computing and Applications (2022)

  4. Article

    Open Access

    Topology optimization search of deep convolution neural networks for CT and X-ray image classification

    Covid-19 is a disease that can lead to pneumonia, respiratory syndrome, septic shock, multiple organ failure, and death. This pandemic is viewed as a critical component of the fight against an enormous threat ...

    Hassen Louati, Ali Louati, Slim Bechikh, Fatma Masmoudi in BMC Medical Imaging (2022)

  5. No Access

    Article

    Deep learning and case-based reasoning for predictive and adaptive traffic emergency management

    An efficient traffic signal control system (TSCS) should not only be reactive to the current traffic but also be predictive by anticipating future traffic disturbances. In this study, we investigate the potent...

    Ali Louati, Hassen Louati, Zhaojian Li in The Journal of Supercomputing (2021)

  6. No Access

    Article

    Multi-agent deep neural networks coupled with LQF-MWM algorithm for traffic control and emergency vehicles guidance

    Authorities in modern cities are facing daily challenges related to traffic control. Due to the problem complexity caused by the urbanization growth, investing in develo** traffic signal control systems (TSC...

    Ali Louati, Hassen Louati, Muneer Nusir in Journal of Ambient Intelligence and Humani… (2020)

  7. Article

    Open Access

    Multi-agent preemptive longest queue first system to manage the crossing of emergency vehicles at interrupted intersections

    Favouring the crossing of Emergency Vehicles (EVs) through intersections in urban cities is very critical for people lives. There have been several efforts toward develo** Traffic Signal Control Systems (TSC...

    Ali Louati, Sabeur Elkosantini, Saber Darmoul in European Transport Research Review (2018)