Rolling Based on Multi-Source Time–Frequency Feature Fusion with a Wavelet-Convolution, Channel-Attention-Residual Network-Bearing Fault Diagnosis Method by Tongshuhao Feng, Zhuoran Wang, Lipeng Qiu, Hongkun Li, Zhen Wang

“…However, when dealing with non-stationary and noisy vibration signals, traditional fault diagnosis methods are often constrained by limited feature characterization from single time–frequency analysis and inadequate feature extraction capabilities. …”
Get full text

Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…These results demonstrate that the proposed method significantly improves the accuracy of identifying complex real-type defects in 10 kV cable intermediate joints under multi-source feature conditions, providing a reliable diagnostic basis and technical reference for partial discharge detection in industrial applications.…”
Get full text

Optimization Design of Fast Neutron Target Station Beam Extraction Based on Genetic Algorithm by QIN Ziqian1, 2, 3, TAN Xinjian2, 3, ZHANG Xiaodong2, 3, PAN Qingquan1, LIU Xiao2, 3

“…An accelerator neutron source target station for energy calibration using the time-of-flight (TOF) method was designed in this paper. …”
Get full text

Ecological networks construction and optimization in the Longdong Loess Plateau: The advantages of self-organizing map and complex networks by Xueyu Huang, Lina Xiu, Zhixiang Lu, Jiahui Wang

“…We used this method to identify different types of ecological sources. …”
Get full text

Deep Reinforcement Learning-Based Distribution Network Planning Method Considering Renewable Energy by Liang Ma, Chenyi Si, Ke Wang, Jinshan Luo, Shigong Jiang, Yi Song

“…Based on the above discussion, this paper proposes a DNP method based on deep reinforcement learning (DRL). …”
Get full text

A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…To facilitate practical applications, we developed DesignFlow—an open-source platform that automates the design and optimization of microfluidic devices. …”
Get full text

A Comprehensive Review of Optimizing Multi-Energy Multi-Objective Distribution Systems with Electric Vehicle Charging Stations by Mahesh Kumar, Aneel Kumar, Amir Mahmood Soomro, Mazhar Baloch, Sohaib Tahir Chaudhary, Muzamil Ahmed Shaikh

Get full text

Internal sound field reconstruction method based on optimal arrangement of sound monitoring points near the cabin inner surface by Shengguo Shi, Qiang Guo, Huihui He, Xinyu Wang

“…Besides, the optimum performance of different optimization algorithms is compared. The results show that the proposed method is more accurate than the traditional equivalent source method when the number of monitoring points is the same, and the QPSO algorithm shows the best monitoring point location optimization performance. …”
Get full text

Conflict evidence combination rule based on multi-dimensional weighted evidence optimization method and its applications in pattern recognition by Fuhai Xi, Mengli Mei, Shi Yang, Hang Guo, Min Yu

“…Subsequently, the multi-dimensional weighted evidence optimization method is employed to calculate the relative importance of each piece of evidence. …”
Get full text

Performance evaluation, prediction analysis and optimization of experimental ORC using artificial neural networks (ANN) by Diki Ismail Permana, Federico Fagioli, Maurizio De Lucia, Dani Rusirawan, Istvan Farkas

“…While many experimental studies on ORC have been conducted, significant gaps remain in accurately predicting unknown or unmeasured data and identifying optimal operating conditions. This research addresses these challenges using machine learning, specifically an artificial neural network (ANN), a self-learning and nonlinear method capable of approximating complex functions, making it ideal for ORC prediction models. …”
Get full text

The optimization of consensus decision-making for a multi-microwave source system based on composite leader-follower clustering for intelligent agent-based joint heating temperatur... by Biao Yang, Baowei Song, Cheng Cheng, Youpeng Zhao, Haiqin Yang, Yuchen Li, Zhongyi He

“…To address the issues of uneven temperature distribution and the difficulty of temperature control in microwave heating, a composite leader cluster consensus decision optimization strategy for multiple microwave source agents is proposed. …”
Get full text

Distributed Relative Pose Estimation for Multi-UAV Systems Based on Inertial Navigation and Data Link Fusion by Kun Li, Shuhui Bu, Jiapeng Li, Zhenyv Xia, Jvboxi Wang, Xiaohan Li

Get full text

Design of two-dimensional reflective imaging systems: an approach based on inverse methods by Sanjana Verma, Martijn J. H. Anthonissen, Jan H. M. ten Thije Boonkkamp, Wilbert L. IJzerman

“…We iteratively design reflectors using inverse methods from non-imaging optics and optimize them to obtain a system that produces minimal aberrations. …”
Get full text

ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile by WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang

“…To validate the algorithm’s accuracy, comparative analysis was conducted between the ACO-NM hybrid optimization and the traditional least squares method. …”
Get full text

Capacity Allocation Method for Wind-Solar-Hydro-Storage Complementary System Considering Time and Spatial Transfer Characteristics of Load by Jie WEN, Jichun LIU, Zhengnan WEN, Jianhua LI, Chenxin LI

“…Finally, through a case simulation, the nonlinear optimization problem is solved by professional optimization software (LINGO), and the allocation capacities of the source end system under different planning years and scenarios are obtained, which has verified the effectiveness of the proposed method in improving the system indicators.…”
Get full text

Multi-UAV Collaborative Target Search Method in Unknown Dynamic Environment by Liyuan Yang, Yongping Hao, Jiulong Xu, Meixuan Li

“…To mitigate the effects of target mobility, we develop a dynamic mission planning method based on local particle swarm optimization, enabling UAVs to adjust their search trajectories in response to real-time environmental inputs. …”
Get full text

Microgrid Energy Management Considering Energy Storage Degradation Cost by Yiming Zhao, Hongrui Li, Changsheng Wan, Dong Du, Bo Chen

Get full text

A Novel Ship Fuel Sulfur Content Estimation Method Using Improved Gaussian Plume Model and Genetic Algorithms by Chao Wang, Hao Wu, Nini Wang, Zhirui Ye

“…The emission source intensity inversion was formulated as an unconstrained multi-dimensional optimization problem, solved using genetic algorithms. …”
Get full text

An Integrated Optimal Allocation Method of Multi-energy Supply and Demand Side Resources for Load Resilience Enhancement of Distribution System by Xi ZHU, Bo ZENG, Hao XU, Jiaomin LIU

Get full text

Control parameter identification method for virtual synchronous generator considering electric vehicles based on dynamic particle swarm optimization by Dongqi Wu, Yong Hu

“…To address the issues of insufficient control parameter identification accuracy and convergence speed during the grid connection of distributed power sources, a control parameter identification method for the Virtual Synchronous Generator (VSG) converter model considering the integration of electric vehicles (EVs) based on the dynamic particle swarm optimization algorithm is proposed. …”
Get full text