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.