Angle-Based RGN-Enhanced ADRC for PMSM Compressor Speed Regulation Considering Aperiodic and Periodic Disturbances by Chenchen Zhang, Yang Yang, Yimin Gong, Yibo Guo, Hongda Song, Jiannan Zhang

“…The RGN algorithm iteratively estimates the amplitude and phase information of periodic disturbances, while the ESO primarily observes the system’s aperiodic disturbances. …”
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PRECISION, STABILITY ANALYSIS OF THE CRANKSHAFT GRINDING TECHNOLOGICAL PROCESS by S. A. Kornilovich, B. S. Trofimov

“…The implementation of the algorithm for calculating the accuracy and stability for the technological process of grinding the crankshafts during their restoration would reduce the error value. …”
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A two‐stage, four‐layer robust optimisation model for distributed cooperation in multi‐microgrids by Haobo Rong, Jianhui Wang, Honghai Kuang

“…This algorithm effectively decouples subproblems, contributing to accelerated solutions. …”
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A Cloud-Edge-End Collaboration Framework for Fixed-Time Distributed Optimization of Virtual Power Plants by Kai Kang, Nian Shi, Keqi Zhang, Si Cai, Liang Zhang, Xinan Shao, Lei Shu, Renjie Hu, Leimin Wang

“…This framework enables parallel computation of multiple distributed optimization algorithms. Additionally, a distributed fixed-time optimization consensus algorithm is designed for virtual power plants, allowing the convergence time to be predetermined offline. …”
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Fibre-orientation-driven defect probability mapping for machining-induced delamination and burr minimisation in carbon fibre-reinforced polymer (CFRP) composites by Norbert Geier

“…An image-based optimisation algorithm was therefore developed that locates the ideal hole centre within the preform allowance to minimise defect risk. …”
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Set-Theoretical Solutions for the Yang–Baxter Equation in GE-Algebras: Applications to Quantum Spin Systems by Ibrahim Senturk, Tahsin Oner, Abdullah Engin Çalık, Hüseyin Şirin, Metin Bilge, Neelamegarajan Rajesh

“…Detailed proofs and the use of left and right translation operators are provided to analyze these algebraic interactions, while an algorithm is introduced to automate the verification process, facilitating broader applications in quantum mechanics and mathematical physics. …”
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Optimization of signal control at ramp adjacent intersections based on A2C by SONG Tailong, GUO Mingyang, CHEN Yifan, HE Yulong

“…The results indicate that the signal control method, based on an improved advantage actor critic (A2C) algorithm, outperforms traditional signal controls and those based on the deep Q-network (DQN) algorithm. …”
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An effective solution for analyzing the electromagnetic scattering characteristics of composite conducting dielectric objects under multiple angle incidence by Meng Kong, Xin Yuan Cao, Qi Qi, Xian Liang Wu

“…By the complexity analysis of the proposed algorithm and the numerical simulation of various composite objects with different materials and structures, the efficiency of the proposed algorithm is verified.…”
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Model-Based Hardware-Software Codesign of ECT Digital Processing Unit by Atef Allam, Wael Deabes

“…Using MBD with the proposed segmented architecture, the system design can be flexibly tailored to the designer specifications to fulfill the required performance while meeting the resources constraint. In the linear-back projection image reconstruction algorithm, the segmentation scheme has exhibited high resource saving of 43% and 71% for a small degradation in a frame rate of 3% and 14%, respectively.…”
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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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