Impedance Characteristic-Based Frequency-Domain Parameter Identification Method for Photovoltaic Controllers by Yujia Tang, Xin Zhou, Yihua Zhu, Junzhen Peng, Chao Luo, Li Zhang, Jinling Qi

“…The effectiveness and superiority of the proposed method have been validated, along with its broad applicability to different intelligent algorithms and its robustness under uncertain conditions such as environmental variations and grid frequency fluctuations.…”
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Research on Intelligent Planning Method for Turning Machining Process Based on Knowledge Base by Yante Li, Tingting Zhou

“…Against the backdrop of accelerating transformation in traditional mechanical manufacturing toward intelligent production models integrating mechanical, electronic, and information technologies, coupled with increasing demands for mass customization, conventional machining methods are proving inadequate to meet modern manufacturing requirements. …”
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Study on the Dynamic Parameters of Plantar Pressure Applicable to the Elderly Screened by Delphi Method by YAN Yifeng, OU Jianlin, ZHENG Jiaxing, SUN Chenming, SHANG Yaru, CHEN Zhuoming

“…After screening, the dynamic parameters of plantar pressure applicable to the elderly were forefoot-to-rear foot plantar pressure ratio, asymmetry index, contact area, the time to peak pressure, load rate, intensity of peak pressure, intensity of pressure time integral, stress load, peak pressure, pressure time integral, full width at half maximum, average pressure (area), center of plantar pressure (COP).ConclusionThe dynamic parameters of plantar pressure selected for the elderly based on Delphi method are scientific and reliable. …”
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A Rapid Design Method for Centrifugal Pump Impellers Based on Machine Learning by Y. Chen, W. Li, Y. Luo, L. Ji, S. Li, Y. Long

“…To reduce development time and costs, this paper proposes a rapid impeller design method focused on hydraulic performance, integrating traditional similarity design theory with machine learning. …”
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SDA-YOLO: An Object Detection Method for Peach Fruits in Complex Orchard Environments by Xudong Lin, Dehao Liao, Zhiguo Du, Bin Wen, Zhihui Wu, Xianzhi Tu

“…To address the challenges of leaf–branch occlusion, fruit mutual occlusion, complex background interference, and scale variations in peach detection within complex orchard environments, this study proposes an improved YOLOv11n-based peach detection method named SDA-YOLO. …”
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Validation study on the assay method for anti-factor IIa potency of enoxaparin sodium by Xiaorong Yang, Hanyan Zou, Yixue Dong, Bing Liu, Ying Wang, Mengying Wang

“…This study integrates the strengths of various testing methods to establish a reproducible assay that has been thoroughly validated. …”
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Path planning method for maritime dynamic target search based on improved GBNN by Zhaozhen Jiang, Xuehai Sun, Wenlon Wang, Shuzeng Zhou, Qiang Li, Lianglong Da

“…Abstract To address the issues of low discovery probability, inefficient search, and antagonistic targets during the process of dynamic target search in the ocean, a dynamic target search path planning method based on the Glasius biologically-inspired neural network (GBNN) in combination with marine environmental information is proposed. …”
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Data-Model Fusion-Driven Method for Fault Quantitative Diagnosis of Heat Exchanger by Xiaogang Qin, Shiwei Yan, Haibo Xu, Yi Gao, Yanbing Yu, Jinjiang Wang

“…Finally, a heat exchanger experiment is carried out to demonstrate the robustness and accuracy of the proposed method.…”
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Three-Dimensional Inversion of the Time-Lapse Resistivity Method on the MPI Parallel Algorithm by Depeng Zhu, Youxing Yang, Lei Wen

“…To address these issues, we develop a three-dimensional inversion algorithm for the resistivity method that incorporates time-lapse constraints. Additionally, MPI parallelization is integrated into the program to increase computational efficiency. …”
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An Improvement of the Load Transfer Method for Energy Piles Under Thermo-Mechanical Loads by Haofan Yang, Haowen Pan, Chenfeng Zong, Ziyi Wang, Gang Jiang

“…The average error compared with field test results is within 20%, with consistent trend patterns, confirming the feasibility of the proposed method. Computational results demonstrate that the proposed method effectively captures the combined effects of mechanical load and temperature variations on the bearing behavior of energy piles. …”
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Structural health monitoring and evaluation method for an immersed tunnel based on deep learning by Yuhang Wei, Jinfang Hou, Linhu Yang, Bin Li, Zonghao Ma, Zhao Liu, Wenhao Sun, Binlei Wang

“…This research examines sensor data to evaluate variations in critical parameters and their effects on structural integrity. …”
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A Terrain-Constrained Cross-Correlation Matching Method for Laser Footprint Geolocation by Sihan Zhou, Pufan Zhao, Jian Yang, Qijin Han, Yue Ma, Hui Zhou, Song Li

“…This study proposes a terrain-constrained cross-correlation matching (TC-Match) method. By integrating the terrain characteristics of the laser footprint area with spaceborne altimetry data, a sliding “time-shift” constraint range is constructed. …”
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An online learning method for assessing smart grid stability under dynamic perturbations by Alaa Alaerjan, Randa Jabeur

“…Through iterative learning cycles augmented by incremental perturbation adjustments, our method significantly improves predictive accuracy. …”
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SDGTrack: A Multi-Target Tracking Method for Pigs in Multiple Farming Scenarios by Tao Liu, Dengfei Jie, Junwei Zhuang, Dehui Zhang, Jincheng He

“…To enhance the model’s generalization in diverse tracking scenarios, we have innovatively proposed the SDGTrack method. This method improves tracking performance across various farming environments by enhancing the model’s adaptability to different domains and integrating an optimized tracking strategy, significantly increasing the generalization of group pig tracking technology across different scenarios. …”
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Power Equipment Image Recognition Method Based on Feature Extraction and Deep Learning by Shuang Lin

“…Furthermore, a long short-term memory (LSTM) gate mechanism is employed to predict power equipment target features at different levels of image feature information, constructing an attention mechanism network based on the LSTM gating mechanism. Additionally, the method introduces a deep-shallow feature interaction strategy: it integrates shallow and deep feature information through matrix outer product operations, enabling the model to fully learn multi-level features of power equipment. …”
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Research on Grouting Dynamic Monitoring Based on Borehole–Tunnel Joint Resistivity Method by Cheng Wang, Lei Zhou, Liangjun Yan, Bofan Li

“…To address the challenge of dynamic monitoring during grouting operations in coal mine fault zones under pressurized mining, this study proposes the Borehole–Tunnel Joint Resistivity Method (BTJRM). By integrating three-dimensional (3D) electrode arrays in both tunnels and boreholes with 3D resistivity inversion technology, this approach enables fully automated underground data acquisition and real-time processing, facilitating comprehensive dynamic monitoring of grout propagation. …”
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Global Optical and SAR Image Registration Method Based on Local Distortion Division by Bangjie Li, Dongdong Guan, Yuzhen Xie, Xiaolong Zheng, Zhengsheng Chen, Lefei Pan, Weiheng Zhao, Deliang Xiang

“…To address this challenge, we propose a global optical-SAR image registration method that leverages local distortion characteristics. …”
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Rolling Bearing Fault Diagnosis Method Based on SWT and Improved Vision Transformer by Saihao Ren, Xiaoping Lou

“…To address the challenge of low diagnostic accuracy in rolling bearing fault diagnosis under varying operating conditions, this paper proposes a novel method integrating the synchronized wavelet transform (SWT) with an enhanced Vision Transformer architecture, referred to as ResCAA-ViT. …”
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Determination of Active Pharmaceutical Substances Dissolution Rate by Laser Light Diffraction Method by E. V. Uspenskaya, I. V. Kazymova, T. V. Pleteneva, T. E. Elizarova, A. V. Syroeshkin

“…The strategy of quality control of drugs provides for compliance with the requirements of regulatory documentation methods and critical quality indicators that determine its effectiveness. …”
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Assessing the degree of innovative readiness of systemic transformation of management in the context of transition to the sixth technological paradigm by N. M. Kalinina, N. A. Kulik

“…The purpose of the work is to assess the degree of readiness for the transformation of management systems in the context of the transition to the sixth technological paradigm in the context of studying the innovative activity of industrial entities in the field of developed production technologies, including integrated management and control (advanced methods of organization and production management). …”
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