Cutting is a common method in industrial production and a predefined and reasonable cutting path plays a pivotal role in the blanking process. This paper researches the cutting path problem aimed at the layout with ho...
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Given the rapid advancements in technologies such as the metaverse and digital twins, the need for effective integration of communication, computation, and storage in complex systems and edge computing environments is...
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The detection of small lesions on grape leaves plays a pivotal role in the early identification and management of plant diseases, potentially reducing significant agricultural losses. Traditional detection systems, in...
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Video Anomaly Localization techniques are interesting and emerging tasks in computer vision that is used to locate the position of an anomalous object with bounding boxes. Convolutional neural network-based object loc...
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Myocardial infarction (MI) is a leading cause of death and disability, underscoring the critical importance of accurate and effective assessment of myocardial viability. However, existing CNNs are insufficient for ext...
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In this work, we present the design and plan of Quantum machine learning (QML) course in a computerscience (CS) University program at senior undergraduate level / first year graduate level. Based on our survey, there...
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ISBN:
(纸本)9798350343236
In this work, we present the design and plan of Quantum machine learning (QML) course in a computerscience (CS) University program at senior undergraduate level / first year graduate level. Based on our survey, there is a lack of detailed design and assessment plan for the delivery of QML course. In this paper we have presented the QML course design with week by week details of QML concepts and hands on activities that are covered in the course. We also present how this QML course can be assessed from CS program learning outcomes perspective.
Predicting and comprehending human behavior is essential in the digital age. In this research, a revolutionary computational framework delves into the behavior of humans. It provides a comprehensive understanding of h...
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In order to reduce the impact of public health emergencies on the normal life of residents, at the same time to prevent the secondary spread of diseases caused by improper methods in the management process. On the pre...
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In this paper, authors propose a spatial difference Toeplitz algorithm for effective direction of arrival (DOA) estimation of mixed signals that contain both uncorrelated and coherent components. Unlike existing metho...
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Deep learning techniques have made it much easier to generate realistic fake content by superimposing or replacing existing images, videos, or audio with highly realistic alternative content. Due to the potential misu...
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