[HTML][HTML] A literature review of Artificial Intelligence applications in railway systems

R Tang, L De Donato, N Besinović, F Flammini… - … Research Part C …, 2022 - Elsevier
Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a
large number of domains, including railways. In this paper, we present a systematic literature …

Applications of genetic algorithm and its variants in rail vehicle systems: A bibliometric analysis and comprehensive review

HJ Kaleybar, M Davoodi, M Brenna, D Zaninelli - IEEE Access, 2023 - ieeexplore.ieee.org
Railway systems are time-varying and complex systems with nonlinear behaviors that
require effective optimization techniques to achieve optimal performance. Evolutionary …

2-stage modified random forest model for credit risk assessment of P2P network lending to “Three Rurals” borrowers

C Rao, M Liu, M Goh, J Wen - Applied Soft Computing, 2020 - Elsevier
With the rapid growth of the P2P online loan industry in the “Three Rurals”(agriculture, rural
areas, and farmers) sector, it is imperative to manage the borrowing risk of borrowers in the …

A deep reinforcement learning approach to mountain railway alignment optimization

T Gao, Z Li, Y Gao, P Schonfeld, X Feng… - … ‐Aided Civil and …, 2022 - Wiley Online Library
The design and planning of railway alignments is the dominant task in railway construction.
However, it is difficult to achieve self‐learning and learning from human experience with …

Exploring and exploiting ant colony optimization algorithm for vertical highway alignment development

MB Sushma, S Roy, A Maji - Computer‐Aided Civil and …, 2022 - Wiley Online Library
The vertical alignment optimization is about developing a minimum cost curvilinear vertical
profile of constrained grade sections and appropriate non‐overlapping vertical curves …

SecOFF-FCIoT: Machine learning based secure offloading in Fog-Cloud of things for smart city applications

AA Alli, MM Alam - Internet of Things, 2019 - Elsevier
Computation offloading is one of the important application in Internet of Things (IoT)
ecosystem. Computational offloading provides assisted means of processing large amounts …

Multi-variable selection strategy based on near-infrared spectra for the rapid description of dianhong black tea quality

G Ren, J Ning, Z Zhang - Spectrochimica Acta Part A: Molecular and …, 2021 - Elsevier
The main objectives of the study are to understand and explore critical feature wavelengths
of the obtained near-infrared (NIR) data relating to dianhong black tea quality categories, we …

Multi-objective railway alignment optimization considering costs and environmental impacts

H Zhang, H Pu, P Schonfeld, T Song, W Li, J Wang… - Applied Soft …, 2020 - Elsevier
With increasing transportation requirements in mountainous regions, railways are
encroaching ever more on environmentally-sensitive areas in those regions. Selecting an …

GIS-based multi-criteria railway design with spatial environmental considerations

T Song, H Pu, P Schonfeld, H Zhang, W Li, X Peng… - Applied …, 2021 - Elsevier
Railway design is complex and closely linked to environmental concerns. To solve this
problem, a two-stage method considering three categories of environmental factors …

Minimizing costs and carbon emissions in railway alignment optimization: A bi-objective model

H Pu, L Cai, T Song, P Schonfeld, J Hu - Transportation Research Part D …, 2023 - Elsevier
Railway alignment optimization should consider multiple environmental factors. Especially
considering the changing climate, low-carbon design is crucial in alignment development …