Breast cancer (BC) is a pervasive issue that leads to countless fatalities among women worldwide, and metastatic breast cancer is responsible for most of these deaths. Early detection of metastatic BC is essential for...
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As the core algorithm of artificial intelligence, deep learning has brought new breakthroughs and opportunities to all walks of life. This paper summarizes the principles of deep learning algorithms such as Autoencode...
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Predators often use the dark web to discuss and share Child Sexual Abuse Material (CSAM) because the dark web provides a degree of anonymity, making it more difficult for law enforcement to track the criminals involve...
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In developing countries like India, Rice is the fundamental and most important food crop. Also, rice is an essential food crop for low and lower middle income countries. The disease in the rice leaf affects rice produ...
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A novel approach for predicting Anti-lock Braking Systems (ABS) activation in electronic brake systems using Machine learning (ML) algorithms is presented in this paper. ABS is a critical safety feature in modern vehi...
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Machine learning (ML) offers a lot of potential for applications in Industry 4.0. By applying ML many processes can be improved. Possible benefits in production are a higher accuracy, an early detection of failures, a...
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The overall evaluation of the research work is based on the liver disease classification and prediction performed by comparing different working procedures and merits of each method with other works in terms of perfor...
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The semi-supervised learning (SSL) is a recent machine learning paradigm where both labeled and unlabeled data are taken into consideration in order to enrich the learning process. In the current work we deal with the...
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We are investigating a problem of 3D model classification using deep learning algorithms. We propose integral spin images usage as 3D model representation. A number of computational experiments were made to build spin...
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Photovoltaic (PV) modules and solar plants are one of the main drivers towards zero-carbon future. Energy communities that are engaging citizens through collective energy actions can reinforce positive social norms an...
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