Optimizing Performance of Hybrid Electrochemical Energy Storage Systems through Effective Control: A Comprehensive Review

A Clemente, P Arias, L Gevorkov, L Trilla… - Electronics, 2024 - mdpi.com
The implementation of energy storage system (ESS) technology with an appropriate control
system can enhance the resilience and economic performance of power systems. However …

Developments in Image Processing using Deep learning and Reinforcement learning

S More, D Mishra - 2023 IEEE International Conference on ICT …, 2023 - ieeexplore.ieee.org
The continuously surging volume of data, estimated to surpass 180 zettabytes by 2025,
presents substantial challenges for both organizations and society as a whole. This influx of …

A neural network algorithm framework based on graph structure for general combinatorial optimization

S Zhao, S Gu - Neurocomputing, 2024 - Elsevier
Combinatorial optimization problems (COPs) play an important role in both industrial
production and theoretical research. As a classical class of optimization algorithms …

Research on 3D ground penetrating radar deep underground cavity identification algorithm in urban roads using multi-dimensional time-frequency features

F Li, F Yang, Y Xie, X Qiao, C Du, C Li, Q Ru… - NDT & E …, 2024 - Elsevier
The 3D ground penetrating radar (GPR) is the main method for detecting underground
cavities in urban roads. Due to the weak reflected signal energy of deep road cavities with …

Mastering Spatial Graph Prediction of Road Networks

A Sotiris, A Lucchi, T Hofmann - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Accurately predicting road networks from satellite images requires a global understanding of
the network topology. We propose to capture such high-level information by introducing a …

A Visual Fault Detection Algorithm of Substation Equipment Based on Improved YOLOv5

Y Wu, F Xiao, F Liu, Y Sun, X Deng, L Lin, C Zhu - Applied Sciences, 2023 - mdpi.com
The development of artificial intelligence technology provides a new model for substation
inspection in the power industry, and effective defect diagnosis can avoid the impact of …

Using internal standards in time-resolved X-ray micro-computed tomography to quantify grain-scale developments in solid-state mineral reactions

RE Rizzo, D Freitas, J Gilgannon, S Seth, IB Butler… - Solid Earth, 2024 - se.copernicus.org
X-ray computed tomography has established itself as a crucial tool in the analysis of rock
materials, providing the ability to visualise intricate 3D microstructures and capture …

Driving Style-aware Car-following Considering Cut-in Tendencies of Adjacent Vehicles with Inverse Reinforcement Learning

X Qiu, Y Pan, M Zhu, L Yang… - 2024 IEEE Intelligent …, 2024 - ieeexplore.ieee.org
Despite the widespread implementation, the Adaptive Cruise Control (ACC) systems still fall
short in delivering a satisfactory human-likely experience, primarily due to the heterogeneity …

Research on upper limb action intention recognition method based on fusion of posture information and visual information

JW Cui, H Du, BY Yan, XJ Wang - Electronics, 2022 - mdpi.com
A prosthetic hand is one of the main ways to help patients with upper limb disabilities regain
their daily living abilities. Prosthetic hand manipulation must be coordinated with the user's …

PolicyCleanse: Backdoor detection and mitigation in reinforcement learning

J Guo, A Li, C Liu - arXiv preprint arXiv:2202.03609, 2022 - arxiv.org
While real-world applications of reinforcement learning are becoming popular, the security
and robustness of RL systems are worthy of more attention and exploration. In particular …