In rapidly growing cities like Tokyo, incorporating greenery is a challenging task. With limited space for trees or parks, ...
Abstract: This study proposes a quantum convolutional neural network (QCNN) designed for image multi-classification tasks. To enhance feature extraction, the quantum convolutional employs singular ...
Abstract: Quantum machine learning (QML) presents a promising avenue for addressing complex classification challenges, yet its application in medical imaging remains largely unexplored. This work ...
Astral Development and Steady Capital’s plans to develop a 483,106 square-foot mixed-use multi-family project set to transform one of Columbia’s most visible downtown intersections at the corner of ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Machine learning (ML) has rapidly become a transformative tool ...
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