Research on fault line selection technology of distribution network based on EMD and WVD by Jin Zhang, Dezhi Chen, Siman Han

“…The inherent low fifth harmonic content in such systems, combined with harmonic interference from load sources and difficulties in parameter setting, leads to relatively low accuracy in actual fault identification. …”
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A Combination Positioning Method for Boom-Type Roadheaders Based on Binocular Vision and Inertial Navigation by Jiameng Cheng, Dongjie Wang, Jiming Liu, Pengjiang Wang, Weixiong Zheng, Rui Li, Miao Wu

“…The simulation results demonstrate that, compared to the Unscented Kalman Filtering algorithm, the position errors in the three directions are reduced by 20%, 20.68%, and 28.57%, respectively. …”
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Multi-dimensional feature extraction of EEG signal and its application in stroke classification by Teng Wang, Wenhui Jia, Fenglian Li, Xirui Liu, Xueying Zhang, Fengyun Hu

“…It introduces an improved multifractal detrended fluctuation analysis (MFDFA) algorithm based on optimized empirical mode decomposition to extract high-quality autocorrelation features. …”
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Research on the Location-Routing Optimization of International Freight Trains Considering the Implementation of Blockchain by Zhichao Hong, Hao Shen, Wenjie Sun, Jin Zhang, Hongbin Liang, Gang Zhao

“…The purpose of this study is to solve the problem of low load factor and profit margin in the point-to-point transportation of international freight trains through the assembly transportation organization mode. …”
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Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Its capacity to manage complex time series data is demonstrated, and the advancement and innovation of algorithms and models are supported. New directions for technological progress and practical application in the field of wind power prediction are established.…”
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Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review by Jie Yang, Xue Bai, Mingji Wei, Hui Jiang, Leijun Xu

“…Its unique penetration, high sensitivity, and low photon energy characteristics, combined with chemometrics and machine learning methods, provide an efficient solution for the qualitative and quantitative analysis of complex food ingredients. …”
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Intensification of management decision making in socially responsible systems using AI by N. P. Kharchenko

“…Modern socially responsible systems (SRS) operate in conditions of low uncertainty and rapid changes in the external environment, which predetermines the need for prompt and high-quality management decision-making. …”
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Research on the Key Technologies of Parallel Operation for Full Power Wind Power Converter by LI Baoguo, CHEN Yanping, JIANG Yunfu, GAO Haiyou, LIU Min, LU Shengwen

“…It presented a design scheme of low voltage, large capacity, high power density and high reliability converter for direct drive full power wind power converter. …”
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Improving Energy-Efficiency of WSNs through LEFCA by Korhan Cengiz, Tamer Dag

“…In this paper, we propose a low energy fixed clustering algorithm (LEFCA) for WSNs. …”
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Analysis on Solar Panel Crack Detection Using Optimization Techniques by M.D. Dafny Lydia, K. Sri Sindhu, K. Gugan

“…In any case, these strategies cost lot of computation time and with low precision. Aiming for a few issues of the existing algorithm, a new framework is proposed to distinguish the cracks. …”
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Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight by Chuang Han, Ling Wang

“…Considering both element positions and complex weight coefficients, a low-level SLL, accurate null at specific directions, and constrained main beam are achieved. …”
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Simulation of lake underwater terrain based on the XGBoost model: a case study of typical lakes on the Tibetan Plateau by Kaixin Hu, Shanlong Lu, Qing Li, Cong Du, Bo Zhang, Peng Du, Harrison Odion Ikhumhen

“…In regions where direct measurements are challenging or data is unavailable, this algorithm provides relatively accurate simulations of lake underwater terrain and water storage capacity, offering critical foundational data to support lake water resource management and scientific research.…”
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Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space by Chengzhong Deng, Zhuolun Niu, Chun Chen

“…First, nanofiber air filters with low pressure drop were fabricated using the electrospinning technique. …”
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An Integrated Fault Diagnosis Method for Rotating Machinery Based on Improved Multivariate Multiscale Amplitude-Aware Permutation Entropy and Uniform Phase Empirical Mode Decomposi... by Jiancheng Gong, Xiaoqiang Yang, Fan Pan, Wuqiang Liu, Fuming Zhou

“…Bearings and gearboxes play a key role in rotating machinery, and their states can directly affect the operation status of the whole rotating machinery. …”
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Enhancing downwelling diffuse attenuation coefficient retrieval at 490 nm through a Neural network and water classification system by Tianle Yao, Tianjie Zhan, Jilin Men, Lan Zhang, Liqiao Tian

“…In low- and mid-latitude regions, the Relative Percentage Difference (RPD) between our algorithm and NASA’s remains within ± 5%, whereas in coastal and polar regions the RPD rises to 20% or more, suggesting that the results in these regions need to be revisited. …”
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Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

“…Abstract Most carbonate reservoirs exhibit heterogeneous pore distribution, whereby the matrix displays low permeability, thus impeding the flow of oil. …”
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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…Then the feature extraction structure of the YOLOv8 neck is replaced with the BiFPN (Bi-directional Feature Pyramid Network) structure. By increasing cross-layer connections and removing nodes with low contribution to feature fusion, the fusion and utilization of features of different scales are optimized, the model performance is further improved, and the number of parameters and calculations are reduced. …”
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The Experimental Demonstration of Correcting the Atmospheric Dispersion Using Image Processing Based on Edge Extension by Sijie Kong, Jin Zhou, Wenli Ma

“…We present an image processing algorithm based on edge extension to correct the influence of atmospheric dispersion. …”
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Study on remote sensing satellites random access to internet constellation and on-orbit intelligent processing by Xiaoyu CHANG, Weijia ZHANG, Xudong1 LI, Xiaonan ZHANG, Gang WANG, Gang JIA

“…The low earth orbit (LEO) satellite Internet constellation is a hot spot in current global research.And it is highly anticipated that the LEO satellite Internet constellation supports random access to remote sensing satellites and direct on-orbit information processing.However, due to the different orbital heights, the difficult access problems of the bidirectional highly dynamic heterogeneous constellation will be caused.Firstly, the random access scenario under different orbit characteristics and satellite numbers of LEO satellite Internet constellation was set up, and the impact of the spatiotemporal discontinuous visibility and Doppler frequency shift on the remote sensing satellite access performance was focused on.Secondly, based on the characteristics of the random access scenario, the process of on-orbit processing tasks with different delays and the allocation of satellite-ground functions were analyzed.Finally, the problems existing in the current on-orbit intelligent processing algorithm and the focus of future research were expounded, so as to provide reliable theoretical support for the development and applications of LEO satellite Internet constellation and remote sensing satellites in the future.…”
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A Review on Pipeline In-Line Inspection Technologies by Qingmiao Ma, Weige Liang, Peiyi Zhou

“…Although existing technologies have achieved significant progress in defect detection accuracy and environmental adaptability, they still face challenges including insufficient adaptability to complex environments, the inherent trade-off between detection accuracy and efficiency, and high equipment costs. Future research directions are identified as follows: intelligent algorithm optimization for multi-physics collaborative detection, miniaturized and integrated design of inspection devices, and scenario-specific development for specialized environments. …”
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