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
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Advances in artificial systems for logistics engineering III/ edited by Zhengbing Hu, Qingying Zhang, Matthew He.
    remainder title: Advances in artificial systems for logistics engineering 3
    other author: Hu, Zhengbing.
    corporate name: International Conference on Artificial Intelligence and Logistics Engineering
    Published: Cham :Springer Nature Switzerland : : 2023.,
    Description: xviii, 1094 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: 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
    Subject: Machine learning - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-36115-9
    ISBN: 9783031361159
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W9459311 電子資源 11.線上閱覽_V 電子書 EB Q325.5 .I58 2023 一般使用(Normal) On shelf 0
  • 1 records • Pages 1 •
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