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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...
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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...
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Chapter and Conference Paper
Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning
Recent advancements in Computer Vision have opened up new opportunities for addressing complex healthcare challenges, particularly in the area of lung disease diagnosis. Chest X-rays, a commonly used radiologi...
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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...
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Article
Open AccessTopology 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 ...
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Chapter and Conference Paper
Evolutionary Optimization for CNN Compression Using Thoracic X-Ray Image Classification
Computer Vision, as an area of Artificial Intelligence, has recently achieved success in tackling numerous difficult challenges in health care and has the potential to contribute to the fight against several l...
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Chapter and Conference Paper
Design and Compression Study for Convolutional Neural Networks Based on Evolutionary Optimization for Thoracic X-Ray Image Classification
Computer Vision has lately shown progress in addressing a variety of complex health care difficulties and has the potential to aid in the battle against certain lung illnesses, including COVID-19. Indeed, ches...
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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...
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Chapter and Conference Paper
Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification
Chest X-Ray images are among the most used tools in medical diagnosis of various hearts and lung abnormalities and infections that could cause pneumonia, severe acute respiratory syndrome, septic shock, failur...
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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...
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Article
Open AccessMulti-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...
