Development of a Multi-Channel Ultra-Wideband Electromagnetic Transient Measurement System by Shaoyin He, Xiangyu Chen, Bohao Zhang, Liang Song

“…It is effectively applicable in scenarios such as the online monitoring of transient electromagnetic environments in high-voltage power equipment, fault diagnosis, and the precise localization of radiation sources such as partial discharge or intentional electromagnetic interference (IEMI).…”
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YOLOv10-CBRC: A high-precision document image layout analysis model by Zhenjie Wu, Weilan Wang, Hongrui Li

“…However, two significant issues persist: (1) the inadequacy of Tibetan document datasets;(2) insufficient utilization of layout information by existing models. …”
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SPECIFIC FEATURES OF HEART RATE VARIABILITY IN CHILDREN WITH ENT PATHOLOGY IN NEED OF SURGICAL TREATMENT by YU. S. АLEKSАNDROVICH, V. V. RYBIANOV, K. V. PSHENISNOV, I. V. АLEKSАNDROVICH

“…Detection of anesthetic risk factors in children with ENT diseases in need of surgery is one of the most important issues in pediatric anesthesiology. The objective of the study: to investigate specific features of heart rate variability in children with chronic ENT pathology in need surgical treatment with general anesthesia. …”
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Multi-heat keypoint incorporation in deep learning model to tropical cyclone centering and intensity classifying from geostationary satellite images by Thanh-Ha Do, Son-The Phan, Duc-Tien Du, Dinh-Quan Dang, Khanh-Hung Mai, Lars R. Hole

“…Compared to a typical detecting object problem, the main issues come from the complexity of TC cloud patterns, which are nonlinear with actual TC grades or discrimination between TC grades (transition between TD to Tropical Storm (TS), TS to STS, and upgrading and progress of TCs). …”
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Ship-DETR: A Transformer-Based Model for EfficientShip Detection in Complex Maritime Environments by Yi Wang, Xiang Li

“…To address these issues, we propose an effective ship detection algorithm—Ship Detection Transformer (Ship-DETR). …”
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A bibliometric analysis of railway safety research: Thematic evolution, current status, and future research directions by Aliyu Mani Umar, Mohd Khairul Afzan Mohd Lazi, Sitti Asmah Hassan, Hanini Ilyana Che Hashim, Yinggui Zhang

“…However, little consideration is given to addressing issues related to the reliability of expert judgments–a key instrument in practical railway safety assessment. …”
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GES-YOLO: A Light-Weight and Efficient Method for Conveyor Belt Deviation Detection in Mining Environments by Hongwei Wang, Ziming Kou, Yandong Wang

“…Conveyor belt deviation is one of the most common failures in belt conveyors. To address issues such as the high computational complexity, large number of parameters, long inference time, and difficulty in feature extraction of existing conveyor belt deviation detection models, we propose a GES-YOLO algorithm for detecting deviation in mining belt conveyors, based on an improved YOLOv8s model. …”
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Underwater target depth estimation: A shallow-water broadband acoustic source depth estimation method based on corrected warping transformation. by Du Siqi, Han Dong, Liu Cong, Li Sidi

“…A broadband sound source depth estimation method based on the BDRM model is proposed for the shallow sea to address the problem that the traditional Warping transform is limited by the ideal waveguide and cannot handle the real marine environment localization of structures with variable sound speed profiles. …”
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A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier by Bowen Shi, Hongjian You, Huixian Wang

“…Additionally, a state judgment module scores the classifiers based on target state and depth information, which allows for adaptive selection of the classifier. To address the issue of missing target information, the method incorporates a stereo-vision-based mechanism to complete the localization region. …”
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An Algorithm of Factor Graph Optimization for 3D Map of Unmanned Exploration Vehicle in Tunnel Environment by Jian Xie, Rao Li, Jing Li, Aoshu Xu

“…The simultaneous localization and mapping (SLAM) technology based on LiDAR has not only achieved real-time localization of unmanned exploration vehicles in unknown environments but also efficiently obtained three-dimensional geospatial information of the environment, attracting widespread attention in the field of unmanned driving. …”
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Parameter Estimation with Nonstationary Noise in Gravitational-wave Data by Sumit Kumar, Alexander H. Nitz, Xisco Jiménez Forteza

“…Misestimation of the noise behavior directly impacts the posterior width of the signal parameters. It becomes an issue for studies that depend on accurate localization volumes, such as (i) probing cosmological parameters (e.g., the Hubble constant) using cross-correlation methods with galaxies and (ii) doing electromagnetic follow-up using localization information from parameter estimation done from premerger data. …”
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Computed tomography–guided percutaneous biopsy in diagnosis of suspected metastatic renal cell carcinoma: which location is the most suitable? by Petr Hoffmann, Michal Balik, Martina Hoffmannova, Jindrich Kopecky, Pavel Ryska, Jana Draganovicova, Petr Dvorak

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A low illumination target detection method based on a dynamic gradient gain allocation strategy by Zhiqiang Li, Jian Xiang, Jiawen Duan

“…Secondly, by designing a new feature aggregation module, it can simultaneously fuse channel and spatial information as well as local and global information to improve the representation of the network. …”
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In-depth exploration of software defects and self-admitted technical debt through cutting-edge deep learning techniques. by Sajid Ullah, M Irfan Uddin, Muhammad Adnan, Ala Abdulsalam Alarood, Abdulkream Alsulami, Safa Habibullah

“…The proposed approach detects this issue and classifies and enhances the understanding and localization of defects. …”
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YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment by Qinglong Wang, Zhengyu Hu, Entuo Li, Guyu Wu, Wengang Yang, Yunjian Hu, Wen Peng, Jie Sun

“…However, deploying deep learning models on edge devices presents significant challenges due to limited computational resources and strict latency constraints. To address these issues, we propose YOLOLS, a lightweight and efficient detection model derived from YOLOv8n and optimized for real-time edge deployment. …”
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Inductive Power Transfer Coil Misalignment Perception and Correction for Wirelessly Recharging Underground Sensors by John Sanchez, Juan Arteaga, Cody Zesiger, Paul Mitcheson, Darrin Young, Shad Roundy

“…Prior works have proposed wireless inductive power transfer (IPT) as a potential solution to these power management issues, but misalignment is a persistent issue in IPT systems, particularly in applications involving moving vehicles or obscured (e.g., underground) coils. …”
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SRW-YOLO: A Detection Model for Environmental Risk Factors During the Grid Construction Phase by Yu Zhao, Fei Liu, Qiang He, Fang Liu, Xiaohu Sun, Jiyong Zhang

“…The uneven spatial distribution of risk factors on construction sites, their weak texture signatures, and the inherently multi-scale nature of UAV imagery pose significant detection challenges. To address these issues, we propose a one-stage SRW-YOLO algorithm built upon the YOLOv11 framework. …”
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MT-CMVAD: A Multi-Modal Transformer Framework for Cross-Modal Video Anomaly Detection by Hantao Ding, Shengfeng Lou, Hairong Ye, Yanbing Chen

“…Existing methods are often plagued by modality discrepancies and fragmented temporal reasoning. To address these issues, we introduce MT-CMVAD, a hierarchically structured Transformer architecture that makes two key technical contributions: (1) A Context-Aware Dynamic Fusion Module that leverages cross-modal attention with learnable gating coefficients to effectively bridge the gap between RGB and optical flow modalities through adaptive feature recalibration, significantly enhancing fusion performance; (2) A Multi-Scale Spatiotemporal Transformer that establishes global-temporal dependencies via dilated attention mechanisms while preserving local spatial semantics through pyramidal feature aggregation. …”
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High-Precision defect detection and geometric verification in pipe jacking projects using computer vision and point cloud data by Haofeng Yan, Changyong Liu, Zhuliang Chen, Xincong Yang

“…Existing approaches, primarily reliant on manual inspections or post-construction surveys, are labor-intensive, lack continuity, and often fail to detect defects or geometric deviations during construction. To address these issues, this study introduces a two-stage framework integrating computer vision and point cloud analysis for internal defect detection and geometric verification during construction.The methodology comprises two stages: Stage 1 involves a CCTV pipeline inspection robot equipped with a binocular-camera system and the YOLOv5 model for real-time detection and 3D localization of internal defects using stereo matching and SLAM. …”
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A high-precision edge detection technique for magnetic anomaly signals based on a self-attention mechanism by Ju Haihua, Wang Li, Yang Jie, Liu Gaochuan, Xia Zhong, Jiao Jian, Zhang Le, Dai Bo

“…However, convolution-based neural networks are limited by the local receptive field of the convolution paradigm, making it difficult to effectively establish long-range dependencies. …”
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