Deep Learning Extraction of Tidal Creeks in the Yellow River Delta Using GF-2 Imagery by Bojie Chen, Qianran Zhang, Na Yang, Xiukun Wang, Xiaobo Zhang, Yilan Chen, Shengli Wang

“…Comparisons with several semantic segmentation models on the mud marsh tidal creek dataset show that ODU-Net significantly enhances tidal creek segmentation, resolves class imbalance issues, and delivers superior extraction accuracy and stability.…”
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Culpa in Contrahendo: A Testimony to the Changing Methodologies in Private International Law by Maria-Anna Zachariasiewicz, Maciej Zachariasiewicz

“…In the realm of private international law, these issues present significant challenges in terms of legal characterization as aptly demonstrated by the well-known case of Tacconi v. …”
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MultiDistiller: Efficient Multimodal 3D Detection via Knowledge Distillation for Drones and Autonomous Vehicles by Binghui Yang, Tao Tao, Wenfei Wu, Yongjun Zhang, Xiuyuan Meng, Jianfeng Yang

“…Additionally, during the model lightweighting process, issues such as multimodal feature coupling failure and the imbalance between classification and localization performance often arise. …”
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The problem of rare tumors in gynecology: a clinical case of benign retroperitoneal sclerosing pelvic pecoma in 49-year-old woman by V. I. Lanchinsky, Yu. V. Chushkov, A. B. Ponomarev, Yu. I. Osmanov, A. I. Ishchenko, N. V. Vorobev

“…It is marked, that there is also a possibility of pecoma`s localization in various organs, for example, lungs, liver, kidneys, as well as in soft tissues. …”
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DMF-YOLO: Dynamic Multi-Scale Feature Fusion Network-Driven Small Target Detection in UAV Aerial Images by Xiaojia Yan, Shiyan Sun, Huimin Zhu, Qingping Hu, Wenjian Ying, Yinglei Li

“…First, we design Dynamic Dilated Snake Convolution (DDSConv) to adaptively adjust the receptive field and dilation rate of convolution kernels, enhancing local feature extraction for small targets with weak textures. …”
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Feature Enhancement Network for Infrared Small Target Detection in Complex Backgrounds Based on Multi-Scale Attention Mechanism by Sen Zhang, Weilin Du, Yuan Liu, Ni Zhou, Zheng Li

“…Additionally, we present the Occlusion-Aware Attention Module (OAAM), which demonstrates greater tolerance for target localization errors in regions where local features are missing due to partial occlusion. …”
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CentralMaizeGuard: Enhanced deep learning model for maize disease detection and management by Fathe Jeribi, Ali Tahir, Nadim Rana, Jayabrabu Ramakrishnan, R. John Martin

“…This paper addresses prevailing challenges in disease detection by introducing a customized CenterNet approach, incorporating DenseNet-65 as its foundational architecture. Common issues encountered in traditional disease detection models are addressed through our proposed approach, which demonstrates superior performance in both disease classification and precise localization of affected regions. …”
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Defect R-CNN: A Novel High-Precision Method for CT Image Defect Detection by Zirou Jiang, Jintao Fu, Tianchen Zeng, Renjie Liu, Peng Cong, Jichen Miao, Yuewen Sun

“…Defect detection in industrial computed tomography (CT) images remains challenging due to small defect sizes, low contrast, and noise interference. To address these issues, we propose Defect R-CNN, a novel detection framework designed to capture the structural characteristics of defects in CT images. …”
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Multi-View Attention Network With Iterative Feature Refinement and Boundary Awareness for Endoscopic Image Segmentation by Dongzhi He, Rui Zhang, Yu Liang, Jiaping Chen, Yunqi Li

“…However, achieving accurate segmentation is challenging due to issues such as boundary blurring, low contrast, and small lesion sizes. …”
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MSUD-YOLO: A Novel Multiscale Small Object Detection Model for UAV Aerial Images by Xiaofeng Zhao, Hui Zhang, Wenwen Zhang, Junyi Ma, Chenxiao Li, Yao Ding, Zhili Zhang

“…To address the above issues, this paper designs a multiscale small object detection model for UAV aerial images, namely MSUD-YOLO, based on YOLOv10s. …”
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MMPW-Net: Detection of Tiny Objects in Aerial Imagery Using Mixed Minimum Point-Wasserstein Distance by Nan Su, Zilong Zhao, Yiming Yan, Jinpeng Wang, Wanxuan Lu, Hongbo Cui, Yunfei Qu, Shou Feng, Chunhui Zhao

“…To address these issues, a single-stage tiny object detector tailored for aerial imagery is proposed, comprising two primary components. …”
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PCES-YOLO: High-Precision PCB Detection via Pre-Convolution Receptive Field Enhancement and Geometry-Perception Feature Fusion by Heqi Yang, Junming Dong, Cancan Wang, Zhida Lian, Hui Chang

“…Printed circuit board (PCB) defect detection faces challenges like small target feature loss and severe background interference. To address these issues, this paper proposes PCES-YOLO, an enhanced YOLOv11-based model. …”
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An Efficient Fine-Grained Access Control Scheme Based on Policy Protection in SGs by Xiaoqing Guo, Huayi Wu, Zhen Qin, Ruonan Ying, Jilai Yang

“…We introduce an efficient attribute localization algorithm to address the complexity of attribute localization and recovery. …”
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Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model by Huanchun Peng, Weidong Yang

“…Firstly, to avoid the inefficiency of logic diagram applications, an executable logic diagram model is established, which can perform mathematical analysis and achieve fault diagnosis and localization using operational data as input. Then, the logic diagram is sorted out to obtain the hidden fault knowledge in the logic diagram, which is used to construct a fault knowledge graph to help achieve cause localization and rapid troubleshooting. …”
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Road damage detection based on improved YOLO algorithm by Luyao Ma, Ming Chen

“…Abstract With urbanization accelerating and transportation demand growing, road damage has become an increasingly pressing issue. Traditional manual inspection methods are not only time-consuming but also costly, struggling to meet current demands. …”
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Autonomous exploration using UWB and LiDAR by Mingyang Guan, Changyun Wen

“…This is typically done using a LiDAR sensor, which however is susceptible to error accumulation. To handle this issue, a UWB/LiDAR fusion SLAM is proposed, which can be decoupled into a localization problem and a mapping problem. …”
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A Method for Distributed Pipeline Burst and Leakage Detection in Wireless Sensor Networks Using Transform Analysis by Sidra Rashid, Saad Qaisar, Husnain Saeed, Emad Felemban

“…Bursts and leakages have turned out to be one of the most frequent malfunctions in liquid pipeline distribution systems. In recent years, the issue has gained a lot of attention in research community due to associated financial costs, environmental hazards, and safety considerations. …”
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PS-SLAM: A Visual SLAM for Semantic Mapping in Dynamic Outdoor Environment Using Panoptic Segmentation by Gang Li, Jinxiang Cai, Chen Huang, Hao Luo, Jian Yu

“…Simultaneous Localization and Mapping (SLAM) suffers from localization and reconstruction challenges in large-scale outdoor environments due to dynamic features. …”
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PECULIARITIES OF TREATMENT OF EPILEPSY AT GIRLS AND WOMEN by O. A. Pylaeva, K. Yu. Мukhin, D. V. Моrozov

“…The articlehereunder considers only issues, referred to the treatment, i. e. AED side effects and its input in the decrease of life quality of women with epilepsy. …”
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FVPNet: A Fuzzy Visual Positioning Perception Network for Small Object Segmentation in Remote Sensing Images by Yu Yan, Jindong Xu, Qianpeng Chong, Guangyi Wei, Zhixiang Wang

“…Meanwhile, the STP subnet adopts a “coarse-to-fine” paradigm, utilizing a pyramidal structure alongside an auxiliary semantic decoder to enhance the network’s capacity for accurate small target localization. We conduct extensive experiments and ablation studies on three benchmark datasets, iSAID, Vaihingen, and Potsdam datasets. …”
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