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Titlebook: Advances in Artificial Systems for Logistics Engineering IV; Zhengbing Hu,Qingying Zhang,Matthew He Conference proceedings 2024 The Editor

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發(fā)表于 2025-3-21 18:17:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Artificial Systems for Logistics Engineering IV
影響因子2023Zhengbing Hu,Qingying Zhang,Matthew He
視頻videohttp://file.papertrans.cn/168/167214/167214.mp4
發(fā)行地址Includes articles from the International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2024).Discusses topics in advances in artificial systems for logistics engineering .Writ
學(xué)科分類Lecture Notes on Data Engineering and Communications Technologies
圖書封面Titlebook: Advances in Artificial Systems for Logistics Engineering IV;  Zhengbing Hu,Qingying Zhang,Matthew He Conference proceedings 2024 The Editor
影響因子.The book comprises high-quality refereed research papers presented at the 4th International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2024), held in Guiyang, China, on April 16–17, 2024, was organized jointly by Wuhan University of Technology, the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", the Polish Operational and Systems Society, Wuhan Technology and Business University, Guizhou Vocational and Technical College of Transportation, 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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Application of Financial Robots - Taking Kingsware RPA as an Exampleel and direction of financial accounting management work. The development and application of financial robots in bank enterprise reconciliation, financial expense reimbursement, tax declaration, and period closing have gradually sparked a professional revolution, greatly improving the efficiency of
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BT-IRVIF-Net: An Effective Fusion of Infrared and Visible Light Belt Tear Imagesdetection of the heat generated by a tear. However, this method has some limitations and drawbacks, especially when the tear size is small and the heat dissipates rapidly, limiting the detection effectiveness. To address this issue, this study proposes an unsupervised belt tear infrared and visible
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Optimization Method of Arc Welding Parameters Based on BP Neural Network Parameter Prediction Modelely mature and widely used network, a parameter prediction model based on BP neural network is proposed and established, the training process adopts the gradient descent BP algorithm, set model learning rate to 0.05, target accuracy to 1?×?10., and training step to 30000. Considering the strong corr
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Assessment and Support of Critical Multilevel Infrastructure Security Using Information and Cognitivincludes knowledge about the state of controlled objects, the operating environment, and the impacts of cyber threats and vulnerabilities. Advanced approaches are needed to support decision-making. The effectiveness of these decision support systems is directly linked to their ability to provide dec
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Empirical Study on the Influence of Charismatic Leadership on Job Competency in the Gig Economy EnviS-SEM method to reveal that charismatic leadership positively affects employees’ competency in their full-time jobs by promoting dedication to work and reducing the process of depersonalization. Moreover, the study finds that compared to enhancing employees’ dedication to work, charismatic leadershi
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