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Titlebook: Advances in Artificial Intelligence and Data Engineering; Select Proceedings o Niranjan N. Chiplunkar,Takanori Fukao Conference proceedings

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發(fā)表于 2025-3-21 19:05:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Artificial Intelligence and Data Engineering
期刊簡(jiǎn)稱Select Proceedings o
影響因子2023Niranjan N. Chiplunkar,Takanori Fukao
視頻videohttp://file.papertrans.cn/147/146751/146751.mp4
發(fā)行地址Covers various aspects of theoretical and applied research in AI and data mining.Includes contributions by experts from diverse fields on innovative applications of AI.Presents selected papers from th
學(xué)科分類Advances in Intelligent Systems and Computing
圖書封面Titlebook: Advances in Artificial Intelligence and Data Engineering; Select Proceedings o Niranjan N. Chiplunkar,Takanori Fukao Conference proceedings
影響因子.This book presents selected?peer-reviewed?papers from the International?Conference?on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing,?Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers,?and professionals interested in the growing applications of artificial intelligence and data engineering..
Pindex Conference proceedings 2021
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Advances in Artificial Intelligence and Data Engineering978-981-15-3514-7Series ISSN 2194-5357 Series E-ISSN 2194-5365
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發(fā)表于 2025-3-22 04:43:47 | 只看該作者
Gross Anatomy of the Breast and Axillaf deep learning algorithm-based U-Net model to handle varied spectrum of data and a comprehensive analysis of the performance of this deep learning approach with real-world data like BraTS 2018 dataset under consideration.
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發(fā)表于 2025-3-22 11:11:46 | 只看該作者
https://doi.org/10.1057/9780230626553st in the present era of big data. Video summarization helps in efficient storage and also quick surfing of large collection of videos without losing the important ones. The summarization of the videos is done with the help of subtitles which is obtained using several text summarization algorithms.
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https://doi.org/10.1057/9780230626553cal practitioners as it needs adequate experience and knowledge. This study focuses on the real problem dealing with heart patient’s data to make well-timed detection and prognosis of risk. The research revolves around building a prediction model to diagnose coronary heart disease. For this purpose,
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Anthony J. Strelkauskas,Paul H. Aldenderferom non-fatal injuries and incurring disabilities. The road accidents have tended many researchers to analyze the severity and type of the accident to enhance road safety measures and aid to speed up the post-crash support amenities. This paper attempts to classify the severity of the accidents by an
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Robert D. Cardiff,Shoichiro Taniuchi,Daer Heents from the images. Weighing sheep for the analysis of their health and growth is a very arduous task, and traditional methods of weighing using a balance are very time-consuming. Estimating sheep weights using computer vision algorithms has already been tried, but these methods are not efficient
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發(fā)表于 2025-3-23 03:52:57 | 只看該作者
Anthony J. Strelkauskas,Paul H. Aldenderferstures and voice. It is imperative to improve voice recognition and response since there is a growing market of technologies, world-wide, that use this interface. Majority of English speakers around the world have accents which are not exposed to speech recognition systems on a greater scale. In ord
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