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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书目名称Advances in Artificial Intelligence and Machine Learning in Big Data Processing影响因子(影响力)




书目名称Advances in Artificial Intelligence and Machine Learning in Big Data Processing影响因子(影响力)学科排名




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书目名称Advances in Artificial Intelligence and Machine Learning in Big Data Processing网络公开度学科排名




书目名称Advances in Artificial Intelligence and Machine Learning in Big Data Processing被引频次




书目名称Advances in Artificial Intelligence and Machine Learning in Big Data Processing被引频次学科排名




书目名称Advances in Artificial Intelligence and Machine Learning in Big Data Processing年度引用




书目名称Advances in Artificial Intelligence and Machine Learning in Big Data Processing年度引用学科排名




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书目名称Advances in Artificial Intelligence and Machine Learning in Big Data Processing读者反馈学科排名

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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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