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Titlebook: Advances in Data Science and Artificial Intelligence; ICDSAI 2022, IIT Pat Rajiv Misra,Nishtha Kesswani,T. N. Singh Conference proceedings

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Mitsunori Maruyama M.D., Ph.D., F.H.R.S.ed autonomous ground robot navigation is obtained from the sky region in an image. For sky detection, various existing methods are being used. These include techniques of computer vision, probability models, and a number of different machine learning algorithms. Various parameters affect the accurac
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Shin Inoue,Genyo Ogawa,Taka-Aki Matsuyama web-based educational environment is dramatically boosted. In this chapter, we use the concepts from DS and ML to define a metric, learning velocity (LV), that measures the student’s adequate learning capacity. LV captures how efficiently the student learns the content, i.e., completes the course c
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Shin Inoue,Genyo Ogawa,Taka-Aki Matsuyama models preferred the color- or depth-modality-based independent stream to extract saliency features, which are insufficient in complex and challenging scenarios. The proposed model produces an enormous set of saliency features (holistic feature space) by three-stream networks to target the above ch
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https://doi.org/10.1007/978-981-10-4463-2 chain. Timely delivery of quality raw material is expected from suppliers and is essential for supply chain performance. Therefore, the selection of resilient suppliers is crucial. In this study, a machine learning-based effective decision support system for resilient supplier selection has been pr
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https://doi.org/10.1007/978-981-10-4463-2nt. These small mobile devices have limited processing resources and battery life. The processing-intensive tasks can be offloaded to a resource-rich environment. Mobile Cloud Computing is the solution where the process-intensive task can be offloaded to the cloud server. Still, most of the real-tim
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