An advanced deep learning method for pepper diseases and pests detection by Xuewei Wang, Jun Liu, Qian Chen

“…Abstract Despite the significant progress in deep learning-based object detection, existing models struggle to perform optimally in complex agricultural environments. …”
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THE RUSSIAN REGISTRY OF RITUXIMAB. ANALYSIS OF THE EFFICIENCY OF THERAPY AND THE FUNCTIONAL STATEOF PATIENTS WITH RHEUMATOID ARTHRITIS by Vera Nikolayevna Amirdzhanova, D V Goryachev, G V Lukina, K Kh Kuzikyants, E L Nasonov

“…Objective: To evaluate the functional status of patients with rheumatoid arthritis (RA) receiving two courses of rituximab (RTМ) therapy and its efficiency from the Russian registrys data. …”
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Real-Time Detection of Varieties and Defects in Moving Corn Seeds Based on YOLO-SBWL by Yuhang Che, Hongyi Bai, Laijun Sun, Yanru Fang, Xinbo Guo, Shanbing Yin

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Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

“…Keywords: computer-aided diagnosis, deep learning, object detection, RetinaNet, transfer learning…”
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Automatic detection of lucky bamboo nodes based on Improved YOLOv7 by Jing Zhang, Jing Zhang, Jing Zhang, Ruoling Deng, Ruoling Deng, Ruoling Deng, Chengzhi Cai, Erpeng Zou, Haitao Liu, Haitao Liu, Mingxin Hou, Xinzhi Chen, Huamin Lin, Zhenye Wei

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An algorithm for road target detection of autonomous vehicles based on improved YOLOv8 by Jianping Gao, Haotian Li, Zhe Li, Chengwei Xie, Xiaolei Ji, Yuzhuo Zhang

“…Experiments have shown that in the KITTI and TT100K datasets, the improved road object detection algorithm has improved accuracy to varying degrees compared to YOLOv8n. …”
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An improved lightweight tiny-person detection network based on YOLOv8: IYFVMNet by Fan Yang, Lihu Pan, Hongyan Cui, Linliang Zhang

“…This operation also reduces the computational cost by decreasing the amount of required feature map channels, while maintaining the effectiveness of the feature representation. (3) he Minimum Point Distance Intersection over Union loss function is employed to optimize bounding box detection during model training. (4) to construct the overall network structure, the Layer-wise Adaptive Momentum Pruning algorithm is used for thinning.ResultsExperiments on the TinyPerson dataset demonstrate that IYFVMNet achieves a 46.3% precision, 30% recall, 29.3% mAP50, and 11.8% mAP50-95.DiscussionThe model exhibits higher performance in terms of accuracy and efficiency when compared to other benchmark models, which demonstrates the effectiveness of the improved algorithm (e.g., YOLO-SGF, Guo-Net, TRC-YOLO) in small-object detection and provides a reference for future research.…”
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Operation standardization evaluation method based on improved YOLOv8n for ship equipment disassembly and assembly by Zhendong ZHANG, Cong GUAN, Zehui ZHANG, Chao WU, Xuewen DING

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Small Target Detection for Power Line Components in Complex UAV Imagery by Zhiyuan Sun, Xu Wang

“…To address the limitations of existing algorithms—particularly their low efficiency in detecting small objects and poor accuracy in complex backgrounds—we propose a defect detection model for transmission line components based on YOLOv5. …”
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RSWD-YOLO: A Walnut Detection Method Based on UAV Remote Sensing Images by Yansong Wang, Xuanxi Yang, Haoyu Wang, Huihua Wang, Zaiqing Chen, Lijun Yun

“…Based on the YOLOv11 network, we propose several improvements to enhance the multi-scale object detection capability while achieving a more lightweight model structure. …”
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Structural Damage Identification Using PID-Based Search Algorithm: A Control-Theory Inspired Application by Kuang Shi, Tingting Sun

“…The Relative Frequency Change Rate (RFCR) and Modal Assurance Criterion (MAC) were calculated as objective functions for PSA iteration; comparative studies were then conducted against Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Simulated Annealing (SA) in terms of damage identification accuracy, computational efficiency, and noise robustness. …”
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Subclinical cardiac dysfunction detected by speckle-tracking echocardiography in patients with liver cirrhosis undergoing liver transplantation by Nguyen Tai Thu, Pham Dang Hai, Nguyen Thi Kieu Ly, Pham Nguyen Son, Nguyen Huu Thanh, Dang Hoang Thien

“…Objective: This study aims to evaluate left ventricular systolic function in cirrhotic patients undergoing liver transplantation using speckle-tracking echocardiography. …”
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The Prevalence of Star-forming Clumps as a Function of Environmental Overdensity in Local Galaxies by Dominic Adams, Hugh Dickinson, Lucy Fortson, Kameswara Mantha, Vihang Mehta, Jürgen Popp, Claudia Scarlata, Chris Lintott, Brooke Simmons, Mike Walmsley

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Fusion of multi-scale attention for aerial images small-target detection model based on PARE-YOLO by Huiying Zhang, Pan Xiao, Feifan Yao, Qinghua Zhang, Yifei Gong

“…Abstract In view of the complex environments and varying object scales in drone-captured imagery, a novel PARE-YOLO algorithm based on YOLOv8 for small object detection is proposed. …”
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MDA-DETR: Enhancing Offending Animal Detection with Multi-Channel Attention and Multi-Scale Feature Aggregation by Haiyan Zhang, Huiqi Li, Guodong Sun, Feng Yang

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STar-DETR: A Lightweight Real-Time Detection Transformer for Space Targets in Optical Sensor Systems by Yao Xiao, Yang Guo, Qinghao Pang, Xu Yang, Zhengxu Zhao, Xianlong Yin

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Risk Factors for Depression in Children and Adolescents with High Functioning Autism Spectrum Disorders by Myriam De-la-Iglesia, José-Sixto Olivar

“…The objective of our study was to examine, discuss, and provide proposals on diagnostic comorbidity of depression in children and adolescents with high functioning autism spectrum disorder (HFASD) in the following aspects. (1) Prevalence. …”
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Relationship between handgrip strength, physical function, and risk of falls in older people by Catalina Rojas, Nelly Venegas, Jaime Vasquez-Gomez, Claudia Troncoso-Pantoja, Yeny Concha-Cisternas

“…Objective: To relate handgrip strength with physical function and risk of falls in older people. …”
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CV-YOLOv10-AR-M: Foreign Object Detection in Pu-Erh Tea Based on Five-Fold Cross-Validation by Wenxia Yuan, Chunhua Yang, Xinghua Wang, Qiaomei Wang, Lijiao Chen, Man Zou, Zongpei Fan, Miao Zhou, Baijuan Wang

“…By introducing the MPDIoU loss function, the YOLOv10 network is optimized to effectively enhance the positioning accuracy of the model in complex background and improve detection of small target foreign objects. …”
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Neonatal screening of hearing function by otoacustic emissions: A single center experience by Živić Ljubica, Obradović Slobodan, Stojanović Stevan, Zbiljić Ivana, Jakovljević Vladimir Lj., Živić Danijela, Stojanović Jasmina, Laban Olivera

“…Deliberately provoked transient otoacoustic emission is an efficient method in testing hearing function in newborns, since it is non-invasive, rapid and objective. …”
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