[HTML][HTML] Deep learning methods utilization in electric power systems
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 …
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
Traditional maintenance strategies risk unforeseen failure, sophisticated physics-based
modeling, and manual feature extraction. Early detection and accurate predictions of …
modeling, and manual feature extraction. Early detection and accurate predictions of …
Machine learning in urban rail transit systems: a survey
Urban Rail Transit Systems (URTS) have increasingly become the backbone of modern
public transportation, attributed to their unparalleled convenience, high efficiency, and …
public transportation, attributed to their unparalleled convenience, high efficiency, and …
Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors
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 …
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 …
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 …
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 …
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 …
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 …
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
Reliability of electrical submersible pump (ESP) failure diagnosis is crucial because
unexpected failures can lead to additional production costs. This study presents a deep …
unexpected failures can lead to additional production costs. This study presents a deep …