Vision transformers (ViTs) are emerging as promising deep learning models in medical imaging, with potential applications in the detection and diagnosis of AD. Objective: This review systematically ...

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Efficient waste management is crucial for urban environments to maintain cleanliness, reduce environmental impact, and optimize resource allocation. Traditional waste collection systems often rely on ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

This thesis focuses on leveraging Image Processing, Computer Vision, Machine Learning, and Deep Learning, particularly the Vision Transformer (ViT) model, for early identification of Alzheimer’s ...

1 Advanced Photon Source, Argonne National Laboratory, Lemont, IL, United States 2 Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States Introduction: High-speed x ...

The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...

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Abstract: The computer vision community has witnessed an extensive exploration of vision transformers in the past two years. Drawing inspiration from traditional schemes, numerous works focus on ...

Abstract: Vision Transformers are renowned for their accuracy in computer vision tasks but are computationally and memory expensive, making them challenging to deploy on resource-constrained edge ...