| Description |
1 online resource (viii, 380 pages) |
| Series |
Lecture notes on data engineering and communications technologies ; v. 82 |
|
Lecture notes on data engineering and communications technologies ; v. 82.
|
| Contents |
Part I. Mathematical Advances in Schemes for Logistics Engineering -- Deep Learning for Grasp-and-Lift Movement Forecasting based on Electroencephalography by Brain-computer Interface -- Inland Waterborne Commerce Study based on Variance Decomposition and Cross-spectral Analysis -- RBF-based Input Doubling Method for Small Medical Data Processing -- Vehicles and Cargos Two-sided Matching based on Similarity Calculation -- Improving pedestrian detection methods by architecture and hyperparameter modification of deep neural networks -- Warehousing Process Mining Research based on Petri Net -- Mathematical Methods of Algebraic Biology Forecast and Analysis of Domestic Iron Ore Shipping Pricing Based on BP Neural Network -- On Trilateral Evolutionary Game and Simulation Analysis of College-Enterprise-Government Collaborative Digital Talent Cultivation in the Context of Digital Economy -- Design and Development of Mobile Learning Platform Based on WeChat Mini Programs -- A New Fog Enabled Sensor Cloud Platform for Smart Logistics Park -- The Location of Company's Logistics Hub Based on Principal Component Analysis -- Part II. Advances in Technological and Educational Approaches -- Deep Learning for Melanoma Detection with Testing Time Data Augmentation -- Research and Development of Interactive Virtual Disassembly Teaching System Considering Difficulty Gradient -- Teaching Reform and Empirical Research of Logistics Professional English Based on Super Star Learning APP Platform -- Integrated Operation Mode of Warehousing and Distribution in the O2O Environment -- A Comparison of Machine Learning Algorithms for Prediction Higher Education Institution's Entrants Admissions |
| Summary |
This book comprises high-quality refereed research papers presented at the 2021 International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2021), held in Kyiv, Ukraine, on 2224 January 2021, organized jointly by Wuhan University of Technology, National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute 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 their applications in logistics engineering |
| Notes |
Includes author index |
| Subject |
Machine learning -- Congresses
|
|
Artificial intelligence -- Congresses
|
|
Logistics -- Data processing -- Congresses
|
|
Artificial intelligence
|
|
Logistics -- Data processing
|
|
Machine learning
|
| Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Hu, Zhengbing
|
|
Zhang, Qingying
|
|
Petukhov, S. V. (Sergeĭ Valentinovich)
|
|
He, Matthew.
|
| ISBN |
9783030804756 |
|
3030804755 |
|
