Research on Inspection Method of Intelligent Factory Inspection Robot for Personnel Safety Protection by Ruohuai Sun, Bin Zhao, Chengdong Wu, Xiaohong Qin

“…To address the issues of low efficiency and high omission rates in monitoring workers’ compliance with safety dress codes in intelligent factories, this paper proposes the SFA-YOLO network, an enhanced real-time detection model based on a Selective Feature Attention mechanism. …”
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Influence of inhalation anesthesia in caesarean section on parturients’ cognitive functions by Volkov O.O.

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CSSA-YOLO: Cross-Scale Spatiotemporal Attention Network for Fine-Grained Behavior Recognition in Classroom Environments by Liuchen Zhou, Xiangpeng Liu, Xiqiang Guan, Yuhua Cheng

“…First, we establish a C2fs module that captures spatiotemporal dependencies in small-scale actions such as hand-raising through hierarchical window attention. …”
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Ingenium de formation lors de la mise en place de formations transversales en santé Illustration par une séquence d’apprentissage du raisonnement clinique by Delphine Guyet, Pauline Lenesley, Christelle Robiolle, Anne-Sophie Delair, Céline Menin, Félix-Benjamin Zalabo, Anne-Christine Rat

“…Cet article analyse l’ingénierie de formation mise en place pour la conception collective d’un module de formation consacré au raisonnement clinique. …”
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Unsupervised person re‐identification based on adaptive information supplementation and foreground enhancement by Qiang Wang, Zhihong Huang, Huijie Fan, Shengpeng Fu, Yandong Tang

“…Second, an adaptive foreground enhancement module (AFEM) was proposed and inserted before clustering to increase the robustness of pedestrian features, which increases the precision of the pseudo‐labels that are produced after clustering. …”
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YOLOT: Multi-scale and diverse tire sidewall text region detection based on You-Only-Look-Once(YOLOv5) by Dehua Liu, Yongqin Tian, Yibo Xu, Wenyi Zhao, Xipeng Pan, Xu Ji, Mu Yang, Huihua Yang

“…In this study, we firstly propose the Width and Depth Awareness (WDA) module in the text region detection field and successfully integrated it with the FPN structure to form the WDA-FPN. …”
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Composite solid sand reinforcement grouting material preparation and diffusion characteristics of slurry-water replacement grouting by Xianxiang Zhu, Qi Zhang, Dongxiang Hu, Linhua Zhong, Zixu Li, Lei Jin

“…Further analysis using COMSOL's porous medium two-phase flow module examined the diffusion characteristics of the grouting material in the water-bearing sand layer. …”
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An efficient algorithm for pedestrian fall detection in various image degradation scenarios based on YOLOv8n by Jianhui Xun, Xuefeng Wang, Xiufang Wang, Xiaoliang Fan, Peishuai Yang, Zhifei Zhang

“…Several improvements were made to YOLOv8n, including the integration of a Chain-of-Thought Prompted Adaptive Enhancer (CPA-Enhancer) module to boost detection performance in complex environments. …”
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Feature refinement and rethinking attention for remote sensing image captioning by Yunpeng Li, Chengjin Tao, Meng Liu, Xiangrong Zhang, Guanchun Wang, Tianyang Zhang, Dong Zhao, Dabao Wang

“…Specifically, we firstly construct a feature refinement module by interacting grid-level features using refinement gate. …”
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DT-YOLO: An Improved Object Detection Algorithm for Key Components of Aircraft and Staff in Airport Scenes Based on YOLOv5 by Zhige He, Yuanqing He, Yang Lv

“…Based on YOLOv5, we propose an improved object detection algorithm, called DT-YOLO, to address these issues. We first built a dataset called AAD-dataset for airport apron scenes by randomly sampling and capturing surveillance videos taken from the real world to support our research. …”
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NMD-FusionNet: a multimodal fusion-based medical imaging-assisted diagnostic model for liver cancer by Qing Ye, Minghao Luo, Jing Zhou, Chunlei Cheng, Lin Peng, Jia Wu

“…While deep learning models like ResUNet have improved diagnostic performance, issues such as information loss and inaccurate tumor boundary segmentation persist. …”
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gTRAVEL+: Enhancing Ground Segmentation for 3D Point Cloud With Temporal Noise Removal and Adaptive Plane Fitting for Urban and Off-Road Environments by Truong Giang Dao, Dinh Tuan Tran, Duc Manh Nguyen, Joo-Ho Lee, Anh Quang Nguyen

“…Ground segmentation plays an increasingly important role as a preprocessing module for numerous applications such as Simultaneous Localization and Mapping (SLAM), place recognition, and point cloud registration. …”
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SonarNet: Global Feature-Based Hybrid Attention Network for Side-Scan Sonar Image Segmentation by Juan Lei, Huigang Wang, Liming Fan, Qingyue Gu, Shaowei Rong, Huaxia Zhang

“…In addition, an adaptive hybrid attention module is introduced to effectively integrate channel and spatial features, while a global enhancement block fuses multi-scale global and spatial representations from the dual encoders, mitigating information loss throughout the network. …”
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SCAT: Shift Channel Attention Transformer for Remote Sensing Image Super-Resolution by Yingdong Kang, Xuemin Zhang, Shaoju Wang, Guang Jin

“…In addition, an attention supplementation module using depthwise convolution (DWC) is incorporated into SCAB to improve feature diversity. …”
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A dynamic attention mechanism for road extraction from high-resolution remote sensing imagery using feature fusion by Haoming Bai, Chao Ren, Zhenzhong Huang, Yao Gu

“…The dual-branch encoder leverages dual convolutions and multi-head deep convolutions to extract fundamental features and capture fine-grained details. The feature fusion module integrates both global and local information, enhancing the model’s ability to represent features effectively. …”
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LRDS-YOLO enhances small object detection in UAV aerial images with a lightweight and efficient design by Yuqi Han, Chengcheng Wang, Hui Luo, Huihua Wang, Zaiqing Chen, Yuelong Xia, Lijun Yun

“…The model incorporates a Light Adaptive-weight Downsampling (LAD) module to retain fine-grained small object features and reduce information loss. …”
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YOLO-IRS: Infrared Ship Detection Algorithm Based on Self-Attention Mechanism and KAN in Complex Marine Background by Limin Guo, Yuwu Wang, Muran Guo, Xiaohai Zhou

“…By utilizing a shifted window multi-head self-attention mechanism, the window field of view is expanded, enhancing the model’s ability to focus on global features during feature extraction, thereby improving small target detection. Second, the C3KAN module is designed to improve detection accuracy while also addressing issues of false positives and missed detections in complex backgrounds and dense occlusion scenarios. …”
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A Soybean Pod Accuracy Detection and Counting Model Based on Improved YOLOv8 by Xiaofei Jia, Zhenlu Hua, Hongtao Shi, Dan Zhu, Zhongzhi Han, Guangxia Wu, Limiao Deng

“…This study developed a soybean pod detection model, YOLOv8n-POD, based on the YOLOv8n network, incorporating key innovations to address these issues. A Dense Block Backbone (DBB) enhances the model’s adaptability to the morphological diversity of soybean pods, while the Separated and Enhancement Attention Module (SEAM) in the neck section improves the representation of pod-related features in feature maps. …”
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YOLO-NeRFSLAM: underwater object detection for the visual NeRF-SLAM by Zhe Wang, Zhibin Yu, Zhibin Yu, Bing Zheng, Bing Zheng

“…This paper proposes a new underwater SLAM framework that combines neural radiance fields (NeRF) with a dynamic masking module to address these issues. Through a Marine Motion Fusion (MMF) strategy—leveraging YOLO to detect known marine organisms and integrating optical flow for pixel-level motion analysis—we effectively screen out all dynamic objects, thus maintaining stable camera pose estimation and pixel-level dense reconstruction even without relying on depth data. …”
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Recognizing American Sign Language gestures efficiently and accurately using a hybrid transformer model by Mohammed Aly, Islam S. Fathi

“…These CNN features are then refined by a Vision Transformer module, which captures long-range dependencies and global contextual information within the gesture. …”
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