A literature review on one-class classification and its potential applications in big data

N Seliya, A Abdollah Zadeh, TM Khoshgoftaar - Journal of Big Data, 2021 - Springer
In severely imbalanced datasets, using traditional binary or multi-class classification typically
leads to bias towards the class (es) with the much larger number of instances. Under such …

Emerging technologies for smart cities' transportation: geo-information, data analytics and machine learning approaches

KLM Ang, JKP Seng, E Ngharamike… - … International Journal of …, 2022 - mdpi.com
With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

S Nižetić, P Šolić, DLI Gonzalez-De, L Patrono - Journal of cleaner …, 2020 - Elsevier
The rapid development and implementation of smart and IoT (Internet of Things) based
technologies have allowed for various possibilities in technological advancements for …

A survey on fault diagnosis approaches for rolling bearings of railway vehicles

G Yan, J Chen, Y Bai, C Yu, C Yu - Processes, 2022 - mdpi.com
This paper reviews the current research status of rolling bearing fault diagnosis technology
for railway vehicles. Several domains are covered, including vibration fault diagnosis …

Condition monitoring of rail transport systems: A bibliometric performance analysis and systematic literature review

M Kostrzewski, R Melnik - Sensors, 2021 - mdpi.com
Condition monitoring of rail transport systems has become a phenomenon of global interest
over the past half a century. The approaches to condition monitoring of various rail transport …

Sustainable transport and mobility—Oriented innovative startups and business models

A Skala - Sustainability, 2022 - mdpi.com
Sustainability-oriented transport and mobility solutions hunt for engineering and
management innovations. Both are primarily adopted by startups—ambitious and dynamic …

Industry 4.0 technologies applied to the rail transportation industry: A systematic review

C Laiton-Bonadiez, JW Branch-Bedoya… - Sensors, 2022 - mdpi.com
Background: Industry 4.0 technologies have been widely used in the railway industry,
focusing mainly on maintenance and control tasks necessary in the railway infrastructure …

Potential game based task offloading in the high-speed railway with reinforcement learning

W Wu, H Song, H Wang, H Dong - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The advanced 5G and mobile edge computing promote the development of the intelligent
high-speed railway and enable computing-intensive and latency-sensitive tasks. Mobile …

A systematic and network-based analysis of data-driven quality management in supply chains and proposed future research directions

R Agrawal, VA Wankhede, A Kumar, S Luthra - The TQM Journal, 2023 - emerald.com
Purpose This work aims to review past and present articles about data-driven quality
management (DDQM) in supply chains (SCs). The motive behind the review is to identify …

Architecture of managing big data of mixed transportation of passengers in aglomerations

NA Zhuravleva, M Poliak - IOP Conference Series: Materials …, 2020 - iopscience.iop.org
The aim of this study is to develop a big data architecture that can provide the formation and
management of competitive mixed passenger traffic in agglomerations in real time, taking …