YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

Subjects: “…object detection…”
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The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

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Quality of life and objective functional impairment in lumbar spinal stenosis: a protocol for a systematic review and meta-analysis of moderators by Andrea Pozza, Fabio Ferretti, Anna Coluccia, Roberto Gusinu, Giacomo Gualtieri, Vitaliano Francesco Muzii

“…There is no comprehensive review on quality of life and objective functional impairment in LSS. This paper presents the protocol of the first systematic review and meta-analysis summarising evidence about quality of life and functional impairment in patients with LSS compared with healthy controls. …”
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People tracking accuracy improvement in video by matching relevant trackers and YOLO family detectors by H. Quan, G. Ma, Y. Weichen, R. Bohush, F. Zuo, S. Ablameyko

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Dual‐Function Ceramic Pigments for Energy‐Efficient and Secure Autonomous Vehicles by Ik Hoon Jeong, Yong‐Jun Seo, Jum Soo Hwang, Geun Hyeong Kim, Yeong Jae Kim, Gil Ju Lee

“…The results indicate that although the scattering is not strictly retro‐reflective, it strongly redirects the incident wave back toward its source, which is advantageous for LiDAR‐based object detection. Consequently, a bi‐function ceramic pigment (BFCP) is fabricated with both superior RC performance and heightened LiDAR detectability compared to commercial pigments. …”
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An Unsupervised Moving Object Detection Network for UAV Videos by Xuxiang Fan, Gongjian Wen, Zhinan Gao, Junlong Chen, Haojun Jian

“…This paper introduces an unsupervised UAV moving object detection network. Domain-specific knowledge, including spatiotemporal consistency and foreground sparsity, is integrated into the loss function to mitigate false positives caused by motion parallax and platform movement. …”
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Few-Shot Object Detection via Sample Processing by Honghui Xu, Xinqing Wang, Faming Shao, Baoguo Duan, Peng Zhang

“…Few-shot object detection (FSOD) eliminates the dependence on tremendous instances with manual annotations in conventional object detection. …”
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Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations by Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz

“…To address these issues, we propose a novel approach using the DEformable DEtection TRansformer (DE-DETR). This object detection network tackles object deformations by utilizing multi-scale feature maps and incorporating a deformable attention module. …”
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Automated Detection and Biomarker Identification Associated with the Structural and Functional Progression of Glaucoma on Longitudinal Color Fundus Images by Iyad Majid, Zubin Mishra, Ziyuan Chris Wang, Vikas Chopra, Dale Heuer, Zhihong Jewel Hu

“…To detect glaucoma progression from ocular hypertension both structurally and functionally, and identify potential objective early biomarkers associated with progression, we developed and evaluated deep convolutional long short-term memory (CNN-LSTM) neural network models using longitudinal CFPs from the Ocular Hypertension Treatment Study (OHTS). …”
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Detection of early age-related macular degeneration using novel functional parameters of the focal cone electroretinogram. by Ashley Wood, Thomas Margrain, Alison Mary Binns

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Performance of Fitness Functions Based on Natural Frequencies in Defect Detection Using the Standard PSO-FEM Approach by Xiao-Lin Li, Roger Serra, Julien Olivier

“…Our objective is to compare the performances of four fitness functions based on natural frequencies using the standard PSO-FEM approach for defect detection. …”
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Aptamer-functionalized graphene quantum dots combined with artificial intelligence detect bacteria for urinary tract infections by Kun Li, Shiqiang Fang, Tangwei Wu, Chao Zheng, Yi Zeng, Jinrong He, Yingmiao Zhang, Yingmiao Zhang, Zhongxin Lu, Zhongxin Lu

“…In this study, we propose a novel approach utilizing aptamer-functionalized graphene quantum dots integrated with an artificial intelligence detection system (AG-AI detection system) for rapid and highly sensitive detection of Escherichia coli (E. coli).MethodsFirstly, graphene quantum dots were modified with the aptamer that can specifically recognize and bind to E. coli. …”
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Small Object Detection Algorithm Based on Partial Convolution and Attention Fusion Detection Head by Peng Sheng, Zhu Fenghua, Zhou Jin, Zhu Gaofeng, Wang Yingxu, Chen Yuehui

“…This paper proposes a small object detection algorithm based on partial convolution and attention fusion detection head, aiming to address the limitations of current mainstream object detection algorithms in detecting small objects in aerial images. …”
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Workflow for effective integration of community detection algorithms in brain network analysis by Flavio Averhoff, Vladimir Aristov, Ivan Stepanyan, Chen Yunwei, Jorge Gulín González

“…This study presents a workflow utilizing network analysis based on community detection methods and functional magnetic resonance imaging (fMRI) to investigate brain connectomics problems. …”
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ANALYTICAL MODEL OF A DIFFERENTIAL METHOD FOR RECEIVING AND PROCESSING SIGNALS OF THE INFRARED RANGE OF WAVELENGTHS by N. S. Akinshin, Yu. I. Mamon, E. A. Staroguk

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Functional ultrasound as a quantitative approach for measuring functional hyperemia in aging models by Jessica Pinckard, Sharon Negri, Cade A Huston, Marisa A Bickel, Michaela L Vance, Madison Milan, Clara L Hibbs, Madeline Budda, Siva Sai Chandragiri, Kaitlyn Pipkin, Stefano Tarantini, Shannon M Conley

“…Backgrounds and Objectives: Aging is associated with impaired cerebrovascular function, including reduced functional hyperemia (FH), which contributes to cognitive decline and dementia. …”
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Toward Versatile Small Object Detection with Temporal-YOLOv8 by Martin C. van Leeuwen, Ella P. Fokkinga, Wyke Huizinga, Jan Baan, Friso G. Heslinga

“…Deep learning has become the preferred method for automated object detection, but the accurate detection of small objects remains a challenge due to the lack of distinctive appearance features. …”
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DCA-YOLOv8: A Novel Framework Combined with AICI Loss Function for Coronary Artery Stenosis Detection by Hualin Duan, Sanli Yi, Yanyou Ren

“…The experimental results show that the DCA-YOLOv8 framework performs better than existing object detection algorithms in coronary artery stenosis detection, with precision, recall, F1-score and mean average precision (mAP) at 96.62%, 95.06%, 95.83% and 97.6%, respectively. …”
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Fast arbitrary-oriented object detection for remote sensing images by Jingxian Liu, Jianfeng Tang, Fan Yang, Yingqi Zhao

“…In the filed of remote sensing, arbitrary-oriented object detection methods has gained great attention, benefiting from the accurate detection ability of dense objects. …”
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Comparison of CNN-Based Architectures for Detection of Different Object Classes by Nataliya Bilous, Vladyslav Malko, Marcus Frohme, Alina Nechyporenko

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