Titlebook: Digital Technologies in Logistics and Infrastructure; Igor Ilin,Carlos Jahn,Andrea Tick Conference proceedings 2023 The Editor(s) (if appl

justify

Methods of Recognition and Classification of Objects in Digital Logistics,aining, and computation speed are examined. Comparative analysis of the methods is carried out based on a computational experiment for datasets of nine hundred objects. The computational experiment shows an increase in the speed of learning and computations for neural differential equations using th

CLEFT

枯萎將要

Ice Reconnaissance Data Processing Under Low Quality Source Images,rth. We have proposed a new classification method of FSD type based on aerial survey data processing using machine learning methods which is quite effective for low quality images processing. Also, an original feature space, which ensured the efficiency of this classification method, was proposed. T

投票

Stochastic Operational Logic for Berths Throughput Modelling of Export Coal Terminal,g the throughput for marine side, using mathematical modelling. That allow to achieve the transparency in the relationships “client – contractor” and form the results in terms of the most probable values of throughput and the potential to increase the cargo turnover.

CHOIR

首創(chuàng)精神

CRAB

Conventional and Digital Technologies Convergence as an Additional Advantage in Ensuring of Supply rameter “degree of project hybridization”. Based on the method of analyzing hierarchies for a separate sample of projects, the technology of ranking them according to the multicriteria principle, taking into account the degree of hybridization parameter, is shown. The methods of descriptive diagnost

Deceit

Development of Rail Container Transportation Based on Mobility and Logistics Efficiency,lization of tariff policy, optimization of operational activities, expansion of the digital platform significantly affects the qualitative and quantitative development of rail container transportation based on mobility and logistics efficiency. The methodology of the study is based on the analysis o

nascent

Two-Level Algorithms as Part of Digital Logistics Platforms,re complex scientifically based methods are used. Methods of the theory of stochastic processes, simulation modeling, and theoretical optimization methods are used to find a solution. The relevance of the work is due to the formation of a large-scale segment of third-party logistics in the Industry

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