Advances in Artificial Systems for Logistics Engineering IV

• Record Nr.: UNINA9910890187403321
• Autore: Hu Zhengbing
• Pubbl/distr/stampa: Cham : , : Springer, , 2024; ©2024
• ISBN: 9783031720178; 3031720172
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (560 pages)
• Collana: Lecture Notes on Data Engineering and Communications Technologies Series ; ; v.223
• Altri autori (Persone): ZhangQingying; HeMatthew
• Soggetti: Artificial intelligence; Logistics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Preface -- Organization -- Contents -- Artificial Intelligence and Scientific Methodology -- Decision Analysis of Artificial Intelligence Latecomer Enterprises Participating in Innovation Network from the Perspective of Knowledge Spillover -- 1 Introduction -- 2 Model Assumptions and Establishment -- 2.1 Research Hypothesis -- 2.2 Model Selection -- 2.3 Redefining Black-Scholes Model Variables -- 3 Empirical Results and Analysis -- 3.1 Data Selection -- 3.2 Empirical Analysis -- 4 Decision Analysis of Latecomer Enterprises -- 4.1 The Market Present Value Corresponding to Intellectual Property -- 4.2 The Predetermined Cost Required for the Commercialization of Intellectual Property -- 4.3 The Scheduled Time Required for the Commercialization of Intellectual Property -- 4.4 The Volatility of Market Present Value Changes Corresponding to Intellectual Property -- 4.5 Risk-Free Rate -- 4.6 The Economic Value of Intellectual Property -- 5 Conclusions -- 5.1 Reduce the Cost of Intellectual Property Commercialization -- 5.2 Increase the Economic Life of Intellectual Property -- References -- Application of Financial Robots - Taking Kingsware RPA as an Example -- 1 Introduction -- 2 Financial Robot Demand ; Analysis -- 2.1 Necessity Analysis -- 2.2 Feasibility Analysis -- 3 Example Analysis of the Workflow of Financial Robot
• Sommario/riassunto: This book is part of the Lecture Notes on Data Engineering and Technologies series and focuses on the intersection of artificial intelligence and logistics engineering. It presents cutting-edge research and developments in the field, highlighting the role of AI in transforming logistics as a crucial industry for global economic growth. The book includes contributions from the 4th International Conference on Artificial Intelligence and Logistics Engineering (ICAILE 2024), which brought together experts to discuss AI applications, innovations, and educational reforms related to logistics engineering. It targets researchers, professionals, and students interested in the latest trends and practical challenges in AI and logistics.