A robust cyclic-feature detection against noise uncertainty by Qiang CHEN, Ming JIN, Jingwen TONG

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Straight Line Features Detection and Mosaic of Wind Power Blades Image by MA Baoyan, TANG Lei, ZHAO Jing, HE Yongjun

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Dual-modal edible oil impurity dataset for weak feature detection by Huiyu Wang, Qianghua Chen, Jianding Zhao, Liwen Xu, Ming Li, Ying Zhao, Qinpei Zhao, Qin Lu

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A photovoltaic anomaly data identification method based on image feature detection by QIU Yutao, ZHANG Lei, ZHOU Kaiyun, YAN Min, SUN Jintong, LONG Huan

“…To address this， this paper introduces an anomaly data identification algorithm based on image feature detection and dual-threshold processing. This method maps numerical data to images， transforming the anomaly detection problem into an image processing problem. …”
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MapSAM: adapting segment anything model for automated feature detection in historical maps by Xue Xia, Daiwei Zhang, Wenxuan Song, Wei Huang, Lorenz Hurni

“…Automated feature detection in historical maps can significantly accelerate the reconstruction of the geospatial past. …”
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Enhancing Facial Feature Detection: Hybrid Active Shape and Active Appearance Model (HASAAM) by Musab Iqtait, Jafar Ababneh, Mohammad Rasmi, Amer Abu-Jassar, Suhaila Abuowaida

“…The aim of the HASAAM integrated fitting model is to find new solutions for the feature identification issue by combining the strengths of the Active Shape Model (ASM) and Active Appearance Model (AAM) to provide unique findings on the feature detection problem. In the first step, the ASM was used to identify the external shape landmarks of the face, and in the second stage, the AAM was used to identify the interior form landmarks. …”
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Real-Time Landform Feature Detection and Segmentation Based on Heterogeneous MPSoCs for Lunar Robotic Exploration by Q. Fan, R. Duan, B. Wu, H. Zhou, S. Zhang, Y. Ma

“…In this paper, we present neural network inference accelerators using Vitis-AI on an FPGA heterogeneous MPSoC for lunar landform analysis, including landform feature detection and segmentation. Feature detection is implemented by the YOLOv5s-MobileNetV2 network, and segmentation is based on a Feature Pyramid Network (FPN). …”
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Unusual Muscle-related Morphological Features Detected in the Cranial Cava Vein in 10-day-old Broiler Chickens by Vasile RUS, Maria-Catalina MATEI-LATIU, Adrian Florin GAL

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Technologies and Algorithms for Building the Augmented Reality by I. A. Blagoveshchenskiy, N. A. Demyankov

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The Application of the Convective–Stratiform Classification Algorithm for Feature Detection in Polarimetric Radar Variables and QPE Retrieval During Warm-Season Convection by Ndabagenga Daudi Mikidadi, Xingyou Huang, Lingbing Bu

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Cascade drive: a unified deep learning framework for multi-featured detection and control in autonomous electric vehicles on unstructured roadways by Kushal Kumar Raju, B. Prahal Bhagavath, M. K. Nallakaruppan, Rajesh Kumar Dhanaraj, Soufiane Ben Othman, Obaid Ali

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Automated Earthwork Detection Using Topological Persistence by Dana A. Lapides, Gillian Grindstaff, Mary H. Nichols

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A Technical Note on AI-Driven Archaeological Object Detection in Airborne LiDAR Derivative Data, with CNN as the Leading Technique by Reyhaneh Zeynali, Emanuele Mandanici, Gabriele Bitelli

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YOLOv8-SDC: An Improved YOLOv8n-Seg-Based Method for Grafting Feature Detection and Segmentation in Melon Rootstock Seedlings by Lixia Li, Kejian Gong, Zhihao Wang, Tingna Pan, Kai Jiang

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Comprehensive empirical evaluation of feature extractors in computer vision by Murat ISIK

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SFG-YOLOv8: efficient and lightweight small-feature gesture keypoint detector by Weimin Che, Hui Zhang, Bangxue Wu, Qun Li, Hongji Zhang, Shilong Yuan, Hongcheng Yang

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Feature extraction method based on point pair hierarchical clustering by Jiang Qian, Ruixin Zhao, Jingkang Wei, Xiaohui Luo, Yilan Xue

Subjects: “…feature detection method…”
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Histological Features Detected for Separation of the Edible Leaves of <i>Allium ursinum</i> L. from the Poisonous Leaves of <i>Convallaria majalis</i> L. and <i>Colchicum autumnale</i> L. by Márta M-Hamvas, Angéla Tótik, Csongor Freytag, Attila Gáspár, Amina Nouar, Tamás Garda, Csaba Máthé

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Diagnosis of array antennas based on near-field data using Faster R-CNN by Boguang Yang, Yulun Wei, Jixiang Shi, Tao Hong, Liangyu Li, Kai-Da Xu

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Cooperation Spectrum Sensing Detecting Algorithm Based on Featured Belief Points in Cognitive Radio Network by Hongyan Zheng, Bo Wu, Yanpeng Feng, Xianjun Meng

Subjects: “…cognitive radio network;spectrum sensing;energy detection;feature detection;partia11y observable Markov decision process…”
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