Integral Approach-Based Sensitive Protection of Autotransformers for Turn-to-Turn Faults by Krzysztof Solak, Waldemar Rebizant, Frank Mieske

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MOTION PRECISION ANALYSIS OF PERMANENT MAGNET SYBCHRONOUS GRINDING MOTORIZED SPINDLE by GAO Feng, CHENG MingKe, LI Yan, HE PingPing, JIA WeiTao

“…The least squares approximation algorithm is applied to fit the radial trajectory of the spindle,and then the inclination error is modeled to obtain the tilt angle of the spindle’s axis of rotation. …”
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Multitemporal Monitoring for Cliff Failure Potential Using Close-Range Remote Sensing Techniques at Navagio Beach, Greece by Aliki Konsolaki, Efstratios Karantanellis, Emmanuel Vassilakis, Evelina Kotsi, Efthymios Lekkas

“…For the change detection analysis, UAS surveys were utilized, employing the multiscale model-to-model cloud comparison (M3C2) algorithm, while TLS data were used in a validation methodology due to their very high-resolution model. …”
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Quantitative Evaluation of Digital Economy Policies in the Tourism Industry Using the TF-IDF and PMC Index Model by Yu Xia

“…In the proportion of depression index results, the policy effect had the highest proportion of 0.5, indicating that it was the most important, while policy guarantee and policy field importance were second, both corresponding to 0.4. …”
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Sensor Field Segmentation and Parameter Optimization for Electrical Capacitance Tomography System by ZHANG Jin-rong, WANG Li-li, YANG Bo-Tao, LIU Xiao

“…From the comparative analysis of the experimental results，the accuracy of the reconstructed image of the sensor designed by orthogonal experiment is higher than that of the reference sensor，while the imagingeffect of the sensor optimized by ＲBF neural network and chaotic simulated annealing particle swarm optimization algorithm is better than the orthogonal experimental design. …”
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Nonlinear Narrowband Active Noise Control for Tractors Based on a Momentum-Enhanced Volterra Filter by Tao Zhang, Zhixuan Guan, Shuai Zhang, Kai Song, Boyan Huang

“…Traditional linear active noise control algorithms often struggle to effectively suppress such complex acoustic disturbances. …”
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Robust Current Sensing in Rectangular Conductors: Elliptical Hall-Effect Sensor Array Optimized via Bio-Inspired GWO-BP Neural Network by Yue Tang, Jiajia Lu, Yue Shen

“…This work bridges bio-inspired algorithms and adaptive sensing hardware, offering a systematic solution to mechanical deformation-induced errors in high-density power systems.…”
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Coordinated Reentry Guidance with A* and Deep Reinforcement Learning for Hypersonic Morphing Vehicles Under Multiple No-Fly Zones by Cunyu Bao, Xingchen Li, Weile Xu, Guojian Tang, Wen Yao

“…To address these issues, this study proposes a hierarchical framework integrating an A-based energy-optimal waypoint planner, a deep deterministic policy gradient (DDPG)-driven morphing policy network, and a quasi-equilibrium glide condition (QEGC) guidance law with continuous sliding mode control. The A* algorithm generates heuristic trajectories circumventing no-fly zones, reducing the evaluation function by 6.2% compared to greedy methods, while DDPG optimizes sweep angles to minimize velocity loss and terminal errors (0.09 km position, 0.01 m/s velocity). …”
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Design of an improved worm gear tooth profile edge-preserving filter for image detail enhancement by Yong ZHENG, Wei XIE, Yan CHEN, Huayu ZHAO, Tianheng ZHANG, Gaoxin DUAN, Hongdi LIU

“…To amplify image details, a two-stage guided filtering algorithm is employed, utilizing the original image and the post-threshold segmented image as guide images for separate filtering processes, followed by a fusion step. …”
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Optimization Design of Lazy-Wave Dynamic Cable Configuration Based on Machine Learning by Xudong Zhao, Qingfen Ma, Jingru Li, Zhongye Wu, Hui Lu, Yang Xiong

“…The TOC algorithm exhibited superior accuracy and convergence stability. …”
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Network- and Demand-Driven Initialization Strategy for Enhanced Heuristic in Uncapacitated Facility Location Problem by Jayson Lin, Shuo Yang, Kai Huang, Kun Wang, Sunghoon Jang

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Hybrid Metaheuristic Optimization of HVAC Energy Consumption and Thermal Comfort in an Office Building Using EnergyPlus by Reza Akraminejad, Tianyi Zhao, Yacine Rezgui, Ali Ghoroghi, Yousef Shahbazi Razlighi

“…Comparative evaluations against state-of-the-art algorithms, including MoPso, NSGA-II, hybrid Nsga2/MOEAD, and Mo-CSA, validated the effectiveness of HCRPN. …”
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Study on Trajectory Planning for Polishing Free-Form Surfaces of XY-3-RPS Hybrid Robot by Xiaozong Song, Junfeng An, Xingwu Ma

“…The method optimizes the overall trajectory distribution through a global search using GA while locally refining the high-curvature regions with LS. …”
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Automated Tunnel Point Cloud Segmentation and Extraction Method by Zhe Wang, Zhenyi Zhu, Yong Wu, Qihao Hong, Donglai Jiang, Jinbo Fu, Sifa Xu

“…GuSAC, based on the RANSAC algorithm, introduces a minimum spanning tree to reconstruct the topological structure of the tunnel design axis. …”
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Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load Uncertainties by JIANG Xunpu, BAO Zhejing, YU Miao, GUO Chuangxin, GUO Yuanyue, WANG Jian

“…[Objective] A robust multi-stage planning model is established for a park-level integrated energy system （PIES） to minimize the total life-cycle present-value cost while considering source-load uncertainties， optimal construction sequencing， and tiered carbon trading to enhance economic efficiency and low-carbon benefits. …”
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An Efficient Approach Based on RAE-GAMI-NET for Long Range Attack Detection on Blockchain by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…In order to protect against long-range attacks, this research suggests a high-performance explainable neural network model that can accurately categorize nodes as malicious or non-malicious while maintaining interpretability. The proposed explainable neural network model includes Residual Auto Encoder (RAE) guided generalized additive models with incorporating structured interactions (RAE-GAMI-Net) for LRA detection in PoS Blockchain In this work, a wrapper-based Binary Orchard Algorithm (W-BOA) is used to find the best features to lessen the dimensionality of extracted Characteristics, and a global feature extraction has been implemented based on multi-scale Densenet (MDensenet) that assures early convergence and optimal performance by providing global optimal solution. …”
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Adaptive VSG Control Strategy of Sending End for Large-Scale Renewable Energy Connected to Weakly-Synchronized Support VSC-HVDC System by Zimin ZHU, Jinfang ZHANG, Qing CHANG, Zhuan ZHOU, Xiaolin ZHANG

“…Secondly, an improved virtual synchronous generator (VSG) control algorithm for constructing virtual reactance adaptive adjustment items using electrical quantities such as alternating voltage (AC) change rate and voltage difference is proposed, which can improve the equivalent short-circuit ratio of the AC system at the sending end while ensuring that the equivalent impedance of the system is inductive, so as to improve the overall performance of the system. …”
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Two-Stage Uncertain UAV Combat Mission Assignment Problem Based on Uncertainty Theory by Haitao Zhong, Rennong Yang, Aoyu Zheng, Mingfa Zheng, Yu Mei

“…This verifies the effectiveness and superiority of the proposed model and algorithm in maximizing combat mission benefits.…”
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Enhanced Transmission Expansion Planning With a High Confidence Strategy Considering Fluctuations in Solar PV Generation and Electricity Demand by Siripat Somchit, Niphon Kaewdornhan, Rongrit Chatthaworn

“…Moreover, the metaheuristic algorithm is mostly applied to solve the TEP problem. …”
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Automated Eddy Identification and Tracking in the Northwest Pacific Based on Conventional Altimeter and SWOT Data by Lan Zhang, Cheinway Hwang, Han-Yang Liu, Emmy T. Y. Chang, Daocheng Yu

“…This study employed the elliptical Gaussian function (EGF) simulations and the py-eddy-tracker (PET) algorithm, validated by Surface Velocity Program (SVP) drifter data, to track eddies in the western North Pacific Ocean. …”
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