Application of a grey wolf optimization-enhanced convolutional neural network and bidirectional gated recurrent unit model for credit scoring prediction. by Yetong Fang

“…To address these issues, this paper proposes a credit score prediction model that combines CNNs and BiGRUs, and uses the GWO algorithm for hyperparameter tuning. CNN performs well in feature extraction and can effectively capture patterns in customer historical behaviors, while BiGRU is good at handling time dependencies, which further improves the prediction accuracy of the model. …”
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Automated classification of MESSENGER plasma observations via unsupervised transfer learning by Vicki Toy-Edens, Wenli Mo, Robert C. Allen, Sarah K. Vines, Savvas Raptis

“…These findings highlight the potential use of clustering algorithms across multiple planetary environments.…”
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An Industrial Internet Security Assessment Model Based on a Selectable Confidence Rule Base by Qingqing Yang, Shiming Li, Yuhe Wang, Guoxing Li, Yanbin Yuan

“…This model establishes a better unidirectional selection strategy among different subgroups, and while expanding the selection constraints on expert knowledge, it achieves better evaluation results. …”
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A Real-time Train Perception Method for Obstacle Intrusion Based on Front View Projection by HE Qian, JIANG Guotao, DONG Wenbo, PI Zhichao, YANG Hailang, CHEN Meilin

“…The experimental results show the practicality of the proposed method on low-power embedded devices, achieving an average algorithm time of 16.2 ms. Moreover, the method is proven effective in real-time detection of track intrusion by obstacles ahead of trains, while simultaneously acquiring their locations and sizes.…”
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Low-carbon economic dispatch based on improved ISODATA scenario reduction for wind power in IES by Yuangen HUANG, Xingyu LIU, Tianran LI, Zhenya JI, Wei XU

“…A low-carbon, economic dispatch method for IES using an enhanced wind power scenario reduction algorithm is introduced in this paper. It employs an improved iterative self-organizing data analysis technique algorithm (ISODATA) for clustering historical wind power scenarios, addressing the limitations of traditional clustering algorithms in determining cluster centers and analyzing inherent data features. …”
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Research on Defect Detection in Lightweight Photovoltaic Cells Using YOLOv8-FSD by Chao Chen, Zhuo Chen, Hao Li, Yawen Wang, Guangzhou Lei, Lingling Wu

“…Experimental results show that the YOLOv8-FSD lightweight algorithm improves detection accuracy while significantly reducing the number of parameters and computational requirements compared to the original algorithm. …”
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THE USE OF CORRELATION ANALYSIS OF TWO-DIMENSION STOCHASTIC PROCESS FOR HELICOPTER MAINTENANCE WORKABILITY ESTIMATION by Y. M. Chinyuchin, A. S. Solov’ev

“…The new calculated program complex which main task is to find the optimal algorithm of stochastic helicopter de- sign and assembling in terms of maintenance efficiency is described. …”
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Analysis of Weak Links in the Mechanized Mining of Underground Metal Mines: Insights from Machine Learning and SHAP Explainability Models by Chengye Yang, Keping Zhou, Jielin Li

“…By leveraging data from 88 stopes at Guangxi Tongkeng Mine over a decade, we constructed a comprehensive dataset encompassing drilling, charging, blasting, ventilation, support, ore drawing, and maintenance. The XGBoost algorithm was employed to model factors influencing stope production capacity (PC), with its parameters optimized using the Marine Predator Algorithm (MPA). …”
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An Intelligent Diagnosis and Fault Detection Model Based on Fuzzy Logic for Photovoltaic Panels by Marah Bacha, Amel Terki, Rabiaa Houili

“…This analysis employs two distinct algorithms: the initial algorithm employs the thresholding method, while the second algorithm is grounded in a Fuzzy Logic classifier (Sugeno model). …”
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An Improved YOLOv8-Based Dense Pedestrian Detection Method with Multi-Scale Fusion and Linear Spatial Attention by Han Gong, Tian Li, Lijuan Wang, Shucheng Huang, Mingxing Li

“…Simultaneously, a multi-scale linear spatial attention module is designed to amplify features of visible parts of occluded pedestrians while suppressing interference from complex backgrounds. …”
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Design of LQ regulators with prescribed degree of stability for dual-rate systems based on reinforcement learning by Vojislav Filipović, Milan Matijević, Saša Ćuković

“…This paper considers dual-rate systems, where the output is measured at a relatively slow rate while the control signal is adjusted at a faster rate. …”
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DK-Port: construction and validation of port autonomous driving simulation environment based on large language models and reinforcement learning by LOU Yunjie, AI Mingfei, ZHUANG Shujie, YU Hai, WANG Xin, TENG Chu, WANG Jiangcheng, SHEN Tianyu, HAO Kunkun, CUI Wen

“…To address the lack of port-specific autonomous driving data and improve algorithm generalization while reducing development costs and time, this paper proposes a simulation environment for port autonomous driving called DK-Port. …”
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Calculation method of line loss rate of substation areas considering tidal current variation with photovoltaic power generation access by Shengbo Sun, Chao Cheng, Shujun Ji, Wei Cui, Wei Ge, Shifang Hao

“…The proposed method employs an improved K-medoids clustering algorithm for substation area classification, optimized by an enhanced Cuckoo algorithm to minimize classification errors. …”
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Point Cloud Fusion of Human Respiratory Motion Under Multi-View Time-of-Flight Camera System: Voxelization Method Using 2D Voxel Block Index by Jiadun Wang, Shengtao Li, Kai Huang

“…Our algorithm first constructs a voxelized scene from multi-view depth maps. …”
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Modeling and Solving the Dynamic Task Allocation Problem of Heterogeneous UAV Swarm in Unknown Environment by Qiang Peng, Husheng Wu, Na Li

“…In this method, a dynamic mechanism of attacking while searching and priority attacking of important targets is designed. …”
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A Robust Tomato Counting Framework for Greenhouse Inspection Robots Using YOLOv8 and Inter-Frame Prediction by Wanli Zheng, Guanglin Dai, Miao Hu, Pengbo Wang

“…Accurate tomato yield estimation and ripeness monitoring are critical for optimizing greenhouse management. While manual counting remains labor-intensive and error-prone, this study introduces a novel vision-based framework for automated tomato counting in standardized greenhouse environments. …”
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Design of 3D Environment Combining Digital Image Processing Technology and Convolutional Neural Network by Xiaofei Lu, Shouwang Li

“…To enhance 3D reconstruction accuracy, this study proposes a digital image processing technology that combines binocular camera calibration, stereo correction, and a convolutional neural network (CNN) algorithm for optimization and improvement. By employing the refined stereo-matching algorithm, a 3D reconstruction model was developed to augment 3D environment design and reconstruction accuracy while optimizing the 3D reconstruction effect. …”
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Optimization of Resonant Arrays for Dynamic Wireless Power Transfer Using Adaptive Termination by Joao Dinis, Jose Alberto, Antonio J. Marques Cardoso

“…This article introduces the implementation of an adaptive termination impedance alongside a corresponding control algorithm designed for resonant arrays in inductive wireless power transfer systems for vehicle charging applications. …”
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Increasing the Efficiency Factor of Solar Power Plants Due to Solar Energy Localizing by V. I. Mironchuk, A. A. Velchenko

“…The article presents an analysis of the state of development of solar energy in Europe and  the  Republic  of  Belarus  for 2020.  An algorithm for increasing the efficiency factor of  solar power plants by localizing the solar trajectory depending on the latitude and longitude of the area has been proposed. …”
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DK-Port: construction and validation of port autonomous driving simulation environment based on large language models and reinforcement learning by LOU Yunjie, AI Mingfei, ZHUANG Shujie, YU Hai, WANG Xin, TENG Chu, WANG Jiangcheng, SHEN Tianyu, HAO Kunkun, CUI Wen

“…To address the lack of port-specific autonomous driving data and improve algorithm generalization while reducing development costs and time, this paper proposes a simulation environment for port autonomous driving called DK-Port. …”
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