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Titlebook: Artificial Intelligence Tools and Applications in Embedded and Mobile Systems; Selected Papers from Jorge Marx Gómez,Anael Elikana Sam,Devo

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發(fā)表于 2025-3-21 16:14:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence Tools and Applications in Embedded and Mobile Systems
期刊簡稱Selected Papers from
影響因子2023Jorge Marx Gómez,Anael Elikana Sam,Devotha Godfrey
視頻videohttp://file.papertrans.cn/168/167571/167571.mp4
發(fā)行地址Offers a comprehensive view of AI‘s versatility and transformative potential across multiple domains.Showcases various cutting-edge advancements and practical applications of AI in embedded and mobile
學(xué)科分類Progress in IS
圖書封面Titlebook: Artificial Intelligence Tools and Applications in Embedded and Mobile Systems; Selected Papers from Jorge Marx Gómez,Anael Elikana Sam,Devo
影響因子.The emergence of Artificial Intelligence (AI) has had a tremendous impact on embedded and mobile systems. This book presents a diverse collection of papers that showcase cutting-edge research and practical applications of AI in this field. The peer-reviewed research articles stem from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), which was held on November 24.th. – 25.th., 2022, in Arusha, Tanzania, East Africa. They demonstrate the breadth and depth of AI’s impact across various domains, exploring topics such as healthcare advances, transportation optimization, sustainable solutions, and business and process optimization..
Pindex Conference proceedings 2024
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Handboek human resource developmentensures that the pre-trained models can be used with much confidence and assist in generating more quality data samples for effective transfer learning in medical imaging and other applications using image data.
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From Process Mining to Enterprise Mining,ture and automated data collection procedures for ERP systems. The information architecture has eight enterprise maps and provides orientation for which information should be collected for a holistic overview of an enterprise with the selected technical data collection procedures.
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CNN with Attention-Guided Concatenation for Improved Image Restoration,from the two networks before the concatenation operation. The CNN With Attention module (CWATT) performed better than the CNN with No Attention (CNOATT) on both Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM).
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