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Titlebook: Advances in Artificial Intelligence and Machine Learning in Big Data Processing; First International R. Geetha,Nhu-Ngoc Dao,Saeed Khalid C

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發(fā)表于 2025-3-21 19:30:15 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing
期刊簡稱First International
影響因子2023R. Geetha,Nhu-Ngoc Dao,Saeed Khalid
視頻videohttp://file.papertrans.cn/168/167211/167211.mp4
學科分類Communications in Computer and Information Science
圖書封面Titlebook: Advances in Artificial Intelligence and Machine Learning in Big Data Processing; First International  R. Geetha,Nhu-Ngoc Dao,Saeed Khalid C
影響因子.This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17–18, 2023...The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections:?..Part I- artificial intelligence and data analytics; deep learning...Part II- artificial intelligence and data analytics; machine learning..
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Research Output on Artificial Intelligence in India: A Scientometric Studyores the features of research publications of India for ten years, from 2013 to 2022, in the field of Artificial Intelligence. It was carried out on a bibliographic database with Clarivate’s Web of Science. It contains the Science Citation Index-Expanded (SCIE), Conference proceedings, the Social Sc
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A Review of an Automated Model for Sexist Language Detection and Replacement of Sexist Termsdia platforms. Particularly sexism and gender-based harassment have risen to frightening heights, increasing the number of people worldwide who experience or witness online abuse. Such offensive content frequently contains extremely vulgar and disparaging language, which causes great injury and dist
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Detection of DoS Attack Using Machine Learning in Software Defined Networkre that SDN controllers may undergo certain defeat for the network structure, particularly as they are targeted by attacks like Denial of Service (DoS) attacks. Due to this network traffic has increased tremendously and attacked the server severely. To handle this issue, we used the RYU controller a
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An Enhanced Artificial Neural Network Mode for Type 2 Diabetes Classification Using SMOTE and SMOTE-ivity produces problems that are linked to an individual’s day-to-day life choices. If an individual’s daily habits are poor, it might lead to chronic noncommunicable diseases. Diabetes is a chronic noncommunicable disease that exposes people at risk. So, early diabetes prediction model can help to
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