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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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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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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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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...