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Titlebook: Advanced Machine Learning Technologies and Applications; Proceedings of AMLTA Aboul Ella Hassanien,Roheet Bhatnagar,Ashraf Darwi Conference

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發(fā)表于 2025-3-23 11:47:29 | 只看該作者
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發(fā)表于 2025-3-23 16:44:25 | 只看該作者
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發(fā)表于 2025-3-23 18:55:47 | 只看該作者
https://doi.org/10.1007/978-981-15-3383-9AMLTA 2020 Conference Proceedings; Machine Learning Applications; Big Data Processing; Internet of Thin
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發(fā)表于 2025-3-24 01:43:08 | 只看該作者
978-981-15-3382-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-24 03:06:52 | 只看該作者
Advanced Machine Learning Technologies and Applications978-981-15-3383-9Series ISSN 2194-5357 Series E-ISSN 2194-5365
16#
發(fā)表于 2025-3-24 07:02:46 | 只看該作者
Big Data, Cloud and Applicationss one such field undergoing lots of research. The practical application for this model is vast in various kinds of researches as well as actual practice. This paper proposes a two-model approach using a combination of a convolutional neural network using transfer learning and a long short-term memor
17#
發(fā)表于 2025-3-24 14:00:19 | 只看該作者
Big Data, Cloud and Applications object recognition and image processing techniques are proposed. YOLO (You Only Look Once) object detection model is trained on the COCO dataset to detect the desired object from input frames extracted from a video stream and is tested whether it has succumbed to an irrecoverable fall or not for fa
18#
發(fā)表于 2025-3-24 17:50:07 | 只看該作者
19#
發(fā)表于 2025-3-24 19:27:12 | 只看該作者
Perspectives in Law, Business and Innovationm which reflects innovation in a video surveillance system. This system here represents the automated attendance system using real-time computer vision algorithms and adaptive techniques to track the faces during a specific period of time. Our system works on eigenface recognizers and Intel’s Haar c
20#
發(fā)表于 2025-3-25 02:57:22 | 只看該作者
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