Multi-Agent Double Deep Q-Learning for Fairness in Multiple-Access Underlay Cognitive Radio Networks by Zain Ali, Zouheir Rezki, Hamid Sadjadpour

“…In underlay CR systems, the STs are required to keep interference at a low level to avoid outage at the primary system. …”
Get full text

Structural Reliability Analysis Based on IPSO-SVR for High-speed EMU Motor Hanger by Yonghua LI, Yue XU, Fuyu ZHAO, Yue WU

“…Secondly, the sample data was trained, the agent model of motor hanger based on improved particle swarm optimization support vector regression was established. …”
Get full text

Residual Life Prediction of Proton Exchange Membrane Fuel Cell Based on Improved ESN by Tiejiang YUAN, Rongsheng LI, Jiandong KANG, Huaguang YAN

“…Aiming at the problem that the current residual effective life prediction (RUL) technique for proton exchange membrane fuel cells (PEMFCs) has poor prediction effect in the medium and long term, a residual life prediction method based on the Improved Gray Wolf Optimization algorithm (IGWO) and Echo State Network (ESN) is proposed, in which the voltage of the electric stack is firstly selected as a health indicator, and the PEMFC dataset is processed by using convolutional smoothing filtering method to carry out data Smoothing and normalization are used to effectively reduce the interference of outliers on the subsequent model training. …”
Get full text

Stereoisomeric engineering mediated zinc metal electrodeposition: Critical balance of solvation and adsorption capability by Wen Liu, Qiwen Zhao, Ruheng Jiang, Xuyan Ni, Tiancheng You, Canglong Li, Yanzi Deng, Bingang Xu, Yuejiao Chen, Libao Chen

“…The three-point coplanar adsorption configuration, in comparison to two-point adsorption, effectively mitigates the interference of water molecules and establishes a coplanar templating effect. …”
Get full text

Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…In terms of path planning, this study integrates data from visual sensors, infrared sensors, and LiDAR sensors and adopts the Information Acquisition Optimizer (IAO) and the Catch Fish Optimization Algorithm (CFOA) to plan paths and optimize coordinated flight for drone swarms. …”
Get full text

Key technologies for increasing production based on the best practices of major shale oil and gas basins by Jon Jincai Zhang, Zhihui Fan

“…The most effective method is to reduce cluster spacing to an optimized length. The second most effective method is to optimally increase proppant volumes. (2) Placing horizontal wells in the sweet spots and drilling the wells parallel or close to the minimum horizontal stress direction. (3) Using cube development with optimized well spacing to maximize resource recovery and reduce well interferences. …”
Get full text

MS3D: A Multi-Scale Feature Fusion 3D Object Detection Method for Autonomous Driving Applications by Ying Li, Wupeng Zhuang, Guangsong Yang

“…With advancements in autonomous driving, LiDAR has become central to 3D object detection due to its precision and interference resistance. However, challenges such as point cloud sparsity and unstructured data persist. …”
Get full text

WSN Self-Adaptive Relay Selection for Distribution Grid Monitoring by YANG Huifeng, WEI Yong, SHANG Li, LIU Wei, LI Jianqi, ZHANG Sunxuan

“…To research the relay selection of wireless sensor network ( WSN) to improve the monitoring level of distribution network, a self-adaptive ε-greedy algorithm-based WSN relay selection optimization method is proposed according to the existing ε- greedy method. …”
Get full text

Improper Gaussian Signaling for Two-User MISO-NOMA Systems Considering Hardware Impairments and Imperfect SIC by Hao-Tse Chiu, Fumiaki Maehara

“…In this paper, we study the advantages of improper Gaussian signaling (IGS) with the existence of hardware impairments (HWI) and imperfect successive interference cancellation (SIC) in the downlink two-user power-domain non-orthogonal multiple access (PD-NOMA) systems. …”
Get full text

Building Fire Location Predictions Based on FDS and Hybrid Modelling by Yanxi Cao, Hongyan Ma, Shun Wang, Yingda Zhang

“…In addition, the model’s anti-interference performance was tested under various extreme conditions. …”
Get full text

The development of an intelligent comprehensive detection instrument for circuit breakers in power systems and its key technologies by Weimin Guan, Han Hu, Chao Sun, Jie Ji

“…Additionally, this study optimizes the fault diagnosis algorithm, enhancing detection stability and robustness. …”
Get full text

Analytical Solution and Analysis of Aerodynamic Noise Induced by the Turbulent Flow Interaction of a Plate with Double-Wavelength Bionic Serration Leading Edges by Chenye Tian, Xiaomin Liu, Lei Wang, Yuefei Li, Yandong Wu

“…Compared with single-wavelength serrations, a greater noise reduction potential can be obtained for airfoils with the double-wavelength serrations because of the phase interference at different tip-to-root ratios. In this study, in order to reduce the aerodynamic noise of a flat plate operating in a steady uniform flow, double-wavelength leading-edge serrations based on Ayton’s analytical model are optimized by the meta-heuristic optimization algorithm. …”
Get full text

GaN Power Transistors in Converter Design Techniques by Piotr J. Chrzan, Pawel B. Derkacz

“…Then, referring to the optimization results of a half-bridge inverter leg, design techniques are presented that reduce the harmful effect of inductive and capacitive internal converter couplings, thus mitigating the electromagnetic interference (EMI) conducted emissions.…”
Get full text

A 3-D Defect Profile Inversion Method Based on the Continuity Correction Strategy by Chenlin Wang, Jianhua Tang, Yicheng Duan, Senxiang Lu, Hao Wen

“…Inversion is a key step in MFL detection, and iterative inversion based on an optimization algorithm is an effective method for constructing the 3-D profile of defects in pipelines. …”
Get full text

Recent Results on the Use of Artificial Intelligence Techniques Applied to Wireless Power Transfer Systems by Federico Amadei, Michele Quercio, Francesco Riganti Fulginei

“…We explore how ML can optimize the geometric and structural design of WPT coils, predict the optimal parameters for inductive couplers, and enhance coupling efficiency under varying conditions. …”
Get full text

Balancing Available Energy Distribution in mMIMO SWIPT Sensor Networks With Low Resolution ADC/DAC by Suho Shin, Prince Anokye, Hoon Lee, Jihwan Moon, Kyoung-Jae Lee

“…Based on these expressions, we formulate an optimization problem fair AE distribution. To solve this non-convex problem, we propose an alternating optimization (AO) algorithm that optimizes the downlink/uplink (DL/UL) powers and the power splitting (PS) ratio. …”
Get full text

Nodal Carbon Emission Factor Prediction for Power Systems Based on MDBO-CNN-LSTM by Lihua Zhong, Feng Pan, Yuyao Yang, Lei Feng, Haiming Shao, Jiafu Wang

“…The proposed method exhibits enhanced robustness under strong noise interference, providing a novel technical approach for precise carbon accounting in power systems.…”
Get full text

VMD‐FBCCA classification method for SSVEP brain–computer interfaces by Ping Tan, Fengsheng Wang, Kaijun Zhou, Yi Shen

“…Next, a particle swarm algorithm is employed to optimize the weights of the IMFs and reconstruct the EEG signals. …”
Get full text

Exposed conductor detection of 10 kV distribution line based on improved YOLOv8 by Qiwen JING, Sipeng HAO, Siyuan LI

Get full text

Capacity Prognostics of Marine Lithium-Ion Batteries Based on ICPO-Bi-LSTM Under Dynamic Operating Conditions by Qijia Song, Xiangguo Yang, Telu Tang, Yifan Liu, Yuelin Chen, Lin Liu

“…An accurate prognosis of the marine lithium-ion battery capacity is significant in guiding electric ships’ optimal operation and maintenance. Under real-world operating conditions, lithium-ion batteries are exposed to various external factors, making accurate capacity prognostication a complex challenge. …”
Get full text