[HTML][HTML] Deep learning methods utilization in electric power systems

S Akhtar, M Adeel, M Iqbal, A Namoun, A Tufail… - Energy Reports, 2023 - Elsevier
The fast expansion of renewable energy sources, rising electricity demand, and the
requirement for improved grid dependability have made it necessary to create cutting-edge …

A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance

S Gupta, A Kumar, J Maiti - Safety Science, 2024 - Elsevier
Traditional maintenance strategies risk unforeseen failure, sophisticated physics-based
modeling, and manual feature extraction. Early detection and accurate predictions of …

Machine learning in urban rail transit systems: a survey

L Zhu, C Chen, H Wang, FR Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Urban Rail Transit Systems (URTS) have increasingly become the backbone of modern
public transportation, attributed to their unparalleled convenience, high efficiency, and …

Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors

O Gubarevych, S Duer, I Melkonova, M Woźniak, J Paś… - Energies, 2023 - mdpi.com
Increasing the efficiency and reliability of modern railway transport is accompanied by an
increase in monitoring and diagnostic systems for the current state of electric drives. Modern …

Quantity forecast of mobile subscribers with Time-Dilated Attention

B Yao - Information Processing & Management, 2025 - Elsevier
The quantity forecast of mobile subscribers requires accurate and reliable results for
obtaining insights into user trends and facilitating effective business management. Due to …

[HTML][HTML] A survey of deep learning-driven architecture for predictive maintenance

Z Li, Q He, J Li - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Over the past decades, deep learning techniques have attracted increased attention from
various research and industrial domains aligned with the development of Industry Internet-of …

Influence of graphite on tribological properties of SiC/Cu/Gr composites with SiO2–Cu2O glass boundary

L Guan, Y Zhang, K Cheng, S Bai, Q Gao, X Zhang… - Ceramics …, 2024 - Elsevier
Abstract SiC/Cu/Gr composites with a boundary of SiO 2–Cu 2 O glass phase (GP) were
manufactured through the hot pressing sintering process at a temperature of 950° C. The …

[HTML][HTML] Modeling system dynamics of interacting cruising trains to reduce the impact of power peaks

A Trivella, F Corman - Expert Systems With Applications, 2023 - Elsevier
Rail operators around the globe are striving to improve the efficiency, automation, safety,
and sustainability of railway systems. Despite significant advances in technologies such as …

A Comprehensive Review on Leveraging Machine Learning for Multi-Agent Path Finding

JM Alkazzi, K Okumura - IEEE Access, 2024 - ieeexplore.ieee.org
This review paper provides an in-depth analysis of the latest advancements in applying
Machine Learning (ML) to solve the Multi-Agent Path Finding (MAPF) problem. The MAPF …

Diagnosis of electrical submersible pump failure using deep learning model with sand-water flow experimental data

Y Song, Y Na, K Kim, TC Nguyen, J Wang… - Geoenergy Science and …, 2024 - Elsevier
Reliability of electrical submersible pump (ESP) failure diagnosis is crucial because
unexpected failures can lead to additional production costs. This study presents a deep …