Road Obstacle Detection Method Based on Improved YOLOv5 by Pengliu Tan, Zhi Wang, Xin Chang

“…To address these issues, an enhanced obstacle detection algorithm based on YOLOv5 (YOLOv5-EC3F) is proposed. …”
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Research and Application of a Multitarget Detection Algorithm Based on Improved YOLOv8 for Indoor Objects by Yanzhen Wang, Wei Wang, Xiaolong Zhou, Xubin Dong, Jianyong Li, Qi Zhao, Xinyu Yang, Yao Wang

“…The goal is to achieve efficient multitarget detection of everyday objects and to improve the accuracy and recall of the detection algorithm. …”
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A Systematic Literature Review on Machine Learning Algorithms for the Detection of Social Media Fake News in Africa by Joshua Ebere Chukwuere, Tlhalitshi Volition Montshiwa

“…Four research questions guided the study focused on the effectiveness of the classifiers, their applicability for detecting different forms of false news, the features of the dataset size and features, and the metrics that were created to assess the metrics. …”
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Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections by Xiaoying Zhu, Weiyu Zhou, Jianguo Li, Jianguo Li, Mingchong Yang, Mingchong Yang, Haiyu Zhou, Haiyu Zhou, Jiada Huang, Jiada Huang, Jiahua Shi, Jun Shen, Guangyao Pang, Lingqiang Wang, Lingqiang Wang, Lingqiang Wang

“…Accurate measurement of their structure and distribution is essential for improving rice breeding and cultivation strategies. However, the detection of small vascular bundles from cross-sectional images is challenging due to their tiny size and the noisy background typically present in microscopy images.MethodsTo address these challenges, we propose Rice-SVBDete, a specialized deep learning-based detection algorithm for small vascular bundles in rice stem cross-sections. …”
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Combined use of near infrared spectroscopy and chemometrics for the simultaneous detection of multiple illicit additions in wheat flour by Xinyi Dong, Ying Dong, Jinming Liu, Siting Wu

“…Compared to regression models built with competitive adaptive reweighted sampling and genetic algorithm for feature wavelength selection, the performance improved significantly, enhancing generalization capability. …”
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Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms by Chunxia Huang, Qiong Ma, Xiao Zeng, Jiawei He, Fengming You, Xi Fu, Yifeng Ren

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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…Comparative visual detection results with the baseline YOLOv7-tiny show that the proposed algorithm significantly improves the identification of multi-scale small targets and reduces both missed and false detections.…”
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A comparative analysis of imaging-based algorithms for detecting focal cortical dysplasia type II in children by Jan Šanda, Zuzana Holubová, David Kala, Kateřina Jiránková, Martin Kudr, Tomáš Masák, Anežka Bělohlávková, Pavel Kršek, Jakub Otáhal, Martin Kynčl

“…Three imaging-based detection algorithms were applied to T1-weighted images, each targeting key structural features: cortical thickness, gray matter intensity (extension), and gray–white matter junction blurring. …”
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Automatic detection of teacher behavior in classroom videos using AlphaPose and Faster R-CNN algorithms by Jing Huang, Harwati Hashim, Helmi Norman, Mohammad Hafiz Zaini, Xiaojun Zhang

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Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach by Wenxuan Yao, Hui Li, Yanlin Li

“…During structural repair, crack detection is the most critical step. Automatic detection significantly reduces the engineering cost and human factor error compared with manual detection. …”
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LRD-RB: The First Large-Scale Dataset With Rotated Bounding Boxes for Automated Lunar Rockfall Detection by Dingruibo Miao, Jianguo Yan, Zhigang Tu, Jean-Pierre Barriot

“…We conducted systematic evaluations of several representative rotated object detection models on LRD-RB. The dataset not only facilitates the development and testing of lunar rockfall detection algorithms but also has the potential to serve as a challenging benchmark for rotated small object detection tasks in remote sensing applications.…”
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Deep Learning–Based Enhanced Optimization for Automated Rice Plant Disease Detection and Classification by P. Preethi, R. Swathika, S. Kaliraj, R. Premkumar, J. Yogapriya

“…ABSTRACT Ensuring global food security necessitates innovative solutions for early detection and precise classification of diseases in staple crops like rice. …”
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Multi-decadal change detection of coastal dune landscapes using different supervised image classification algorithms by Ryan Theodore BENADE, Aune KAMOSHO, Lutobohile Ivonne MAKANDO, Oluibukun Gbenga AJAYI

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Implementation of Blockchain Technology for Image Plagiarism Detection Using DCT, AES128, and SHA-1 Algorithms by Filbert Duran, Leonardo, Shickhem, Yennimar

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Systematic Review and Meta-Analysis on the Accuracy of Artificial Intelligence Algorithms in Individuals Gender Detection Using Orthopantomograms by Mahmood Dashti, Tara Azimi, Farshad Khosraviani, Sarina Azimian, Lina Bahanan, Houyar Zahmatkesh, Heba Ashi, Zohaib Khurshid

“…The study included research articles that utilised AI algorithms for gender detection based on OPG images. …”
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MA-YOLO: A Pest Target Detection Algorithm with Multi-Scale Fusion and Attention Mechanism by Yongzong Lu, Pengfei Liu, Chong Tan

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High resolution remote sensing image object detection algorithm based on improved YOLOv8 by ZHANG Xia, QIAO Huanyu, CAO Feng

“…An improved efficient decoupled detection head was designed. Finally, combining NWD and WIoU loss functions, a new loss function NWD-WIoU was designed to accelerate the convergence speed of algorithm detection and improve the detection performance of the algorithm for small objects. …”
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Study on the Transient Extraction Transform Algorithm for Defect Detection in Welded Plates Based on Laser Vibrometer by Yu Du, Xinke Xu, Longbiao Zhao, Dijian Yuan, Jinwen Wang

“…This paper addresses the issue of detecting welding defects in steel plates during the welding process by proposing a method that combines the laser vibrometer with transient feature extraction technology. …”
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Cervical Cancer Detection Using Deep Neural Network and Hybrid Waterwheel Plant Optimization Algorithm by Sarah A. Alzakari, Amel Ali Alhussan, S.K. Towfek, Marwa Metwally, Dina Ahmed Salem

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Research on surface loss detection algorithm of wind turbine blade based on FRE-DETR network by Jingwei Yang, Xiaocong Chen, Shengxian Cao, Bo Zhao, Zhenhao Tang, Gong Wang, Xingyu Li, Han Gao

“…Wind turbine generators operate in harsh areas for a long time, resulting in frequent problems such as blade breakage, and traditional blade defect detection methods have low detection accuracy. In this paper, an end-toend target detection algorithm FRE-DETR based on wind turbine blade defects is designed, and the detection speed and detection accuracy of the end-to-end detection model are further improved by redesigning the feature extraction location in the backbone network and proposing a feature selection and fusion module. …”
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