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

Format:

Book

Author/Creator:

Hu, Zhengbing.

Contributor:

Zhang, Qingying.

He, Matthew.

Series:

Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 223

Language:

English

Subjects (All):

Computational intelligence.

Business logistics.

Artificial intelligence.

Computational Intelligence.

Logistics.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Logistics.

Artificial Intelligence.

Physical Description:

1 online resource (560 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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.

Contents:

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

2 Financial Robot Demand Analysis

2.1 Necessity Analysis

2.2 Feasibility Analysis

3 Example Analysis of the Workflow of Financial Robot Generated by AI.

Notes:

Part of the metadata in this record was created by AI, based on the text of the resource.

Description based on publisher supplied metadata and other sources.

ISBN:

9783031720178

3031720172

OCLC:

1458762754