Small data challenges for intelligent prognostics and health management: a review
Prognostics and health management (PHM) is critical for enhancing equipment reliability
and reducing maintenance costs, and research on intelligent PHM has made significant …
and reducing maintenance costs, and research on intelligent PHM has made significant …
Application of machine learning methods in fault detection and classification of power transmission lines: a survey
The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …
techniques to prevent undesired interruptions and expenses. One of the most important part …
Real-time sensing and fault diagnosis for transmission lines
Protection of high voltage transmission lines is one of the crucial problems in the power
system engineering. Accurate and timely detection and identification of transmission line …
system engineering. Accurate and timely detection and identification of transmission line …
Machine-learning-based monitoring and optimization of processing parameters in 3D printing
Additive manufacturing (AM), commonly known as 3D printing, is a rapidly growing
technology. Guaranteeing the quality and mechanical strength of printed parts is an active …
technology. Guaranteeing the quality and mechanical strength of printed parts is an active …
Minority-weighted graph neural network for imbalanced node classification in social networks of internet of people
K Wang, J An, M Zhou, Z Shi, X Shi… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Social networks are an essential component of the Internet of People (IoP) and play an
important role in stimulating interactive communication among people. Graph convolutional …
important role in stimulating interactive communication among people. Graph convolutional …
A survey of internet of things and cyber-physical systems: standards, algorithms, applications, security, challenges, and future directions
KT Chui, BB Gupta, J Liu, V Arya, N Nedjah… - Information, 2023 - mdpi.com
The smart city vision has driven the rapid development and advancement of interconnected
technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this …
technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this …
Transferable adaptive differential evolution for many-task optimization
The evolutionary multitask optimization (EMTO) algorithm is a promising approach to solve
many-task optimization problems (MaTOPs), in which similarity measurement and …
many-task optimization problems (MaTOPs), in which similarity measurement and …
Cross-material battery capacity estimation using hybrid-model fusion transfer learning
Evaluating battery health involves navigating the intricate interplay of physical, chemical,
and electrochemical processes across multiple scales—a task that becomes even more …
and electrochemical processes across multiple scales—a task that becomes even more …
MIFDELN: A multi-sensor information fusion deep ensemble learning network for diagnosing bearing faults in noisy scenarios
M Ye, X Yan, D Jiang, L **ang, N Chen - Knowledge-Based Systems, 2024 - Elsevier
Owing to the harsh operating environment of rolling bearings, acquired vibration signals
contain strong noise interference, which makes it challenging for conventional methods to …
contain strong noise interference, which makes it challenging for conventional methods to …
Cryptocurrency transaction network embedding from static and dynamic perspectives: An overview
Cryptocurrency, as a typical application scene of blockchain, has attracted broad interests
from both industrial and academic communities. With its rapid development, the …
from both industrial and academic communities. With its rapid development, the …