Wireless Authentication Method Based on Near-Field Feature Fusion Network by QIU Jiefan, ZHOU Kezhong, ZHU Dongfu, ZHANG Jinhong, CHI Kaikai

“…To address this issue, this paper proposes a novel WiFi-based authentication method tailored for narrow-space environments, which integrates gait dynamic features and LOS features for improved performance.MethodsA WiFi Feature Fusion Network (WFFN) was proposed to enhance identity recognition accuracy by fusing gait dynamic features with near-field LOS features. …”
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Micro-Terrain Recognition Method of Transmission Lines Based on Improved UNet++ by Feng Yi, Chunchun Hu

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METHOD AND SYSTEM FOR ASSESSING OF SPORTSMAN’S PHYSIOLOGICAL RESERVES DURING PHYSICAL EXERCISES by Nguyen Mau Thach, Nguyen Trong Tuyen, Tran Trong Huu

“…The circle diagram is proposed for taking into account of all mentioned parameters and its variation dynamics. The value of the integral PR parameter is an area of a polygon, which is obtained on the circle diagram using normalized values of the diagnostically significant parameters. …”
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Exploring the optimal method for quantifying the contribution of driving factors of urban floods by Xi Huang, Linhan Yang, GuiCheng Yang, Jiufeng Li, Luo Liu, Yilun Liu, Xianzhe Tang

“…Through accuracy assessments and environmental considerations, we identify the most suitable methods for this analysis. Our findings include: (1) Random Forest (RF)-based UFS assessment reveals significant spatial heterogeneity, with higher UFS in central-western areas and lower risks in the southeast; (2) the most contributing factors in Shenzhen exhibit non-linear and non-parametric effects on UF, supporting the use of RF; (3) we found substantial spatial heterogeneity in factor contributions, necessitating SHAP analysis to capture local variations and provide tailored management insights. …”
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Dynamic weighing method for coal and gangue in coal-gangue sorting robots by CAO Xiangang, LIU Yizhe, WU Xudong, WANG Peng, ZHANG Ye

“…To address the issue of low recognition accuracy caused by complex real-world conditions—such as dust adhesion, lighting variation, water stains, and coal slurry coverage—a dynamic weighing method for coal and gangue was proposed, integrating a tension sensor and an acceleration sensor to enable secondary recognition. …”
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Steel surface defect detection method based on improved YOLOv9 by Cong Chen, Hoileong Lee, Ming Chen

“…However, the diverse types and significant size variations of defects on steel surfaces pose great challenges. …”
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An enhanced substation equipment detection method based on distributed federated learning by Zhuyun Li, Qiutong Qin, Yingyi Yang, Xiaoming Mai, Yuya Ieiri, Osamu Yoshie

“…These results confirm the method’s effectiveness in improving substation equipment recognition securely and efficiently.…”
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Dynamic Calibration Method of Multichannel Amplitude and Phase Consistency in Meteor Radar by Yujian Jin, Xiaolong Chen, Songtao Huang, Zhuo Chen, Jing Li, Wenhui Hao

“…Despite the inherently dynamic nature of these inconsistencies, the majority of existing research predominantly employs static calibration methods to address these issues. In this study, we propose a dynamic adaptive calibration method that combines normalized least mean square and correlation algorithms, integrated with hardware design. …”
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A Novel Theoretical Method for Upscaling Permeability in Hydrate‐Bearing Sediments by Xiwei Gao, Gang Lei, Yingjie Zhao, Qinzhuo Liao, Fulong Ning

“…In this study, we propose an innovative upscaling method that integrates flow properties of typical regions, such as coarse, medium, and fine regions, to predict the Darcy‐scale permeability of HBS from the pore‐scale. …”
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Lightweight and robust ship detection method driven by self-attention mechanism by Feng MA, Zihui SHI, Jie SUN, Chen CHEN, Xianbin MAO, Xinping YAN

“…MethodFirst, this method constructs a feature fusion and extraction network that is highly sensitive to small objects by integrating the Swin Transformer module (STR) with the classic CSPDarknet53 network. …”
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Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

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Resolve Ties Method for Re-establishing Fit for Purpose Survey Boundaries by Ismail Wadembere

“…However, to achieve the best results, the study found out that, ties should be integrated with procedures from methods used at initial FFP survey to come up with the optimal Resolve Ties method that incorporates self-resolving technique that reduces variations to achieve FFP accuracy for boundary re-establishment from reference features. …”
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Layered Production Allocation Method for Dual-Gas Co-Production Wells by Guangai Wu, Zhun Li, Yanfeng Cao, Jifei Yu, Guoqing Han, Zhisheng Xing

“…A high-precision dynamic production allocation method is proposed, which couples the wellbore structure with real-time monitoring parameters. …”
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A NEW METHOD TO ASSESS FUNCTIONAL ACTIVITY OF SERUM COMPLEMENT SYSTEM by E. G. Cheremnykh, P. A. Ivanov, M. I. Faktor, N. S. Karpova, E. F. Vasiljeva, K. V. Gusev, O. S. Brusov

“…We have also estimated statistical precision characteristics for pre-analytical and analytical steps of the method. The average coefficients of variation (CV) were 3.9% and 2.7%, respectively, thus satisfying the reliability criteria in research. …”
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An Integrated Fault Detection, Classification, and Region Identification Methodology Applied to Onshore Wind Farm Collector Systems by Moises J. B. B. Davi, Mario Oleskovicz, Felipe V. Lopes

“…As the main contributions and novelties to the state-of-the-art, this paper provides: 1) pioneering insights about atypical faulty phase current behaviors in wind farm collector systems, 2) recommendations about conventional fault detection and classification methods that are most suitable for application in onshore wind farm collectors, and 3) an integrated methodology for fault detection, fault classification, and fault region identification in onshore wind farm collector systems.…”
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3D rock strength prediction by an innovative approach that integrates geostatistics with machine deep learning models by Hichem Horra, Ahmed Hadjadj, Elfakeur Abidi Saad, Khalil Moulay Brahim

“…This study advances petroleum industry knowledge by integrating deep learning and geostatistical methods to overcome rock strength prediction limitations in nonreservoir formations. …”
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LS-MambaNet: Integrating Large Strip Convolution and Mamba Network for Remote Sensing Object Detection by Lingyu Yan, Zijian He, Zhiqi Zhang, Guangqi Xie

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Index System and Evaluation Method of Geological Environment Suitability for Human Health by Xingchun JIAO, Zhaohe ZHANG, Wei FANG, Ruimin LI, Jiuchen LIU, Wenbin JIA

“…Climate conditions and the spatial and temporal variation characteristics influence the comfortable level for habitation. …”
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Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques by Muhamad Ashfaq, Imran Khan, Rana Fezan Afzal, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…These findings demonstrate the value of integrating environmental data and AI methods for enhancing crop yield forecasting across complex agricultural regions. …”
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Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

“…BackgroundManaging chronic viral infections like Hepatitis C virus (HCV) often requires expensive healthcare resources and highly qualified personnel, making efficient diagnostic methods essential. Despite remarkable therapeutic advancements for the treatment of HCV, several challenges remain, such as improved fast diagnostic procedures allowing universal screening.ObjectiveWe propose a novel approach that combines Near-Infrared Spectroscopy (NIRS) and clinical data with machine learning (ML) to improve Hepatitis C Virus (HCV) detection in serum samples.MethodsNIRS offers a fast, non-destructive, and residue-free alternative to traditional diagnostic methods, while ML models enable feature selection and predictive analysis. …”
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