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Advances in artificial systems for l...

International Conference on Artificial Intelligence and Logistics Engineering (2023 :)

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Advances in artificial systems for logistics engineering III

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in artificial systems for logistics engineering III/ edited by Zhengbing Hu, Qingying Zhang, Matthew He.
其他題名:	Advances in artificial systems for logistics engineering 3
其他作者:	Hu, Zhengbing.
團體作者:	International Conference on Artificial Intelligence and Logistics Engineering
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xviii, 1094 p. :ill. (some col.), digital ;24 cm.
內容註:	AI Chatbots for Banking: Evolving Trends and Critical Issues -- Traffic Flow Characteristics and Vehicle Road Coordination Improvement in Subterranean Interweaving -- Influential Factors and Implementation Path of Talent Digital Evaluation based on ISM Model: Taking Electric Power Enterprises as an Example -- Knowledge Associated with a Question-Answer Pair -- Research on Low Complexity Differential Space Modulation Detection Algorithm -- Mathematical Model of the Process of Production of Mineral Fertilizers in a Fluidized Bed Granulator -- Simulation Study on Optimization of Passenger Flow Transfer Organization at Nanning Jinhu Square Metro Station based on Anylogic -- Engine Speed Measurement and Control System Design Based on LabVIEW -- Research and Design of Personalized Learning Resources Precise Recommendation System Based on User Profile -- Mixed Parametric and Auto-oscillations at Nonlinear Parametric Excitation -- Spectrum Analysis on Electricity Consumption Periods by Industry in Fujian Province -- Determination of the Form of Vibrations in Vibratory Plow's Moldboard with Piezoceramic Actuator for Maximum Vibration Effect -- Evaluating Usability of E-Learning Applications in Bangladesh: A Semiotic and Heuristic Evaluation Approach -- Perceptual Computing Based Framework for Assessing Organizational Performance According to Industry 5.0 Paradigm -- Petroleum Drilling Monitoring and Optimization: Ranking the Rate of Penetration using Machine Learning Algorithms.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-36115-9
ISBN:	9783031361159

Advances in artificial systems for logistics engineering III
Advances in artificial systems for logistics engineering III[electronic resource] /Advances in artificial systems for logistics engineering 3edited by Zhengbing Hu, Qingying Zhang, Matthew He. - Cham :Springer Nature Switzerland :2023. - xviii, 1094 p. :ill. (some col.), digital ;24 cm. - Lecture notes on data engineering and communications technologies,1802367-4520 ;. - Lecture notes on data engineering and communications technologies ;180..

AI Chatbots for Banking: Evolving Trends and Critical Issues -- Traffic Flow Characteristics and Vehicle Road Coordination Improvement in Subterranean Interweaving -- Influential Factors and Implementation Path of Talent Digital Evaluation based on ISM Model: Taking Electric Power Enterprises as an Example -- Knowledge Associated with a Question-Answer Pair -- Research on Low Complexity Differential Space Modulation Detection Algorithm -- Mathematical Model of the Process of Production of Mineral Fertilizers in a Fluidized Bed Granulator -- Simulation Study on Optimization of Passenger Flow Transfer Organization at Nanning Jinhu Square Metro Station based on Anylogic -- Engine Speed Measurement and Control System Design Based on LabVIEW -- Research and Design of Personalized Learning Resources Precise Recommendation System Based on User Profile -- Mixed Parametric and Auto-oscillations at Nonlinear Parametric Excitation -- Spectrum Analysis on Electricity Consumption Periods by Industry in Fujian Province -- Determination of the Form of Vibrations in Vibratory Plow's Moldboard with Piezoceramic Actuator for Maximum Vibration Effect -- Evaluating Usability of E-Learning Applications in Bangladesh: A Semiotic and Heuristic Evaluation Approach -- Perceptual Computing Based Framework for Assessing Organizational Performance According to Industry 5.0 Paradigm -- Petroleum Drilling Monitoring and Optimization: Ranking the Rate of Penetration using Machine Learning Algorithms.

This book comprises high-quality refereed research papers presented at the 3rd International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2023), held in Wuhan, China, on March 11-12, 2023, organized jointly by Wuhan University of Technology, Nanning University, the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Huazhong University of Science and Technology, the Polish Operational and Systems Society, Wuhan Technology and Business University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in artificial intelligence and its applications in logistics engineering.

ISBN: 9783031361159

Standard No.: 10.1007/978-3-031-36115-9doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I58 2023

Dewey Class. No.: 006.31

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520 $a This book comprises high-quality refereed research papers presented at the 3rd International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2023), held in Wuhan, China, on March 11-12, 2023, organized jointly by Wuhan University of Technology, Nanning University, the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Huazhong University of Science and Technology, the Polish Operational and Systems Society, Wuhan Technology and Business University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in artificial intelligence and its applications in logistics engineering.
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