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Titlebook: Artificial Intelligence and Its Applications; Proceeding of the 2n Brahim Lejdel,Eliseo Clementini,Louai Alarabi Conference proceedings 202

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期刊全稱Artificial Intelligence and Its Applications
期刊簡稱Proceeding of the 2n
影響因子2023Brahim Lejdel,Eliseo Clementini,Louai Alarabi
視頻videohttp://file.papertrans.cn/163/162224/162224.mp4
發(fā)行地址Presents recent research Artificial Intelligence and its Applications.Includes the Second International Conference on Artificial Intelligence and its Applications AIAP 2021 held at El-Oued.Presents re
學科分類Lecture Notes in Networks and Systems
圖書封面Titlebook: Artificial Intelligence and Its Applications; Proceeding of the 2n Brahim Lejdel,Eliseo Clementini,Louai Alarabi Conference proceedings 202
影響因子.This book contains the proceedings of the second edition of the international Conference on Artificial Intelligence and its Applications (AIAP‘21). This edition aims to bring together leading academic scientists, international researchers, and practitioners to exchange and share their experiences and research results on all aspects of Artificial Intelligence. It also provides an interdisciplinary platform for researchers, practitioners and students to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Artificial Intelligence. This international conference offers an opportunity to bridge the gap between the Artificial Intelligence research community and people from the industry or working in other research areas including smart cities, big data, cloud computing, social networks, and energy..
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The Pathology of Mathematics Education the strength and flexibility of a classifier when it comes to dealing with big data mining. Second, we will also test the execution speed for each classifier in complex cases; that is, when the classifier will not be sufficient to solve a particular problem in the context of big data mining, especi
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Ramalingam Shanmugam,Karan P. Singhigher grade IMU at each (0.01 s) that was combined with DGPS data at each (1 s) in order to obtain the assumed true solution for the trajectory. The second one is real test data collected during land-vehicle trajectory. The implementation consists of three main algorithms that as well namely: Strapd
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