Advances in Artificial Systems for Logistics Engineering III / / edited by Zhengbing Hu, Qingying Zhang, Matthew He

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (1107 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Business logistics; Artificial intelligence; Computational Intelligence; Logistics; Artificial Intelligence
• Persona (resp. second.): HuZhengbing; ZhangQingying; HeMatthew
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in Artificial Systems for Logistics Engineering III
• ISBN: 3-031-36115-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910734876803321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes on Data Engineering and Communications Technologies, . 2367-4520 ; ; 180