A range spread target detection algorithm based on polarimetric features and SVDD by Qiang LI, Yuanxin YAO, Xiangqi KONG

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Real-Time Incident Detection and Capacity Estimation Using Loop Detector Data by Syed Muzammil Abbas Rizvi, Afzal Ahmed, Yongjun Shen

“…Threshold values of speed and occupancy are determined for incident detection based on the PeMS database. The detection of the incident is followed by the real-time road capacity and incident location estimation using a Cell Transmission Model (CTM) based approach. …”
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Step-by-step classification detection algorithm of SPPM based on K-means clustering by Huiqin WANG, Wenbin HOU, Qingbin PENG, Minghua CAO, Rui HUANG, Ling LIU

Subjects: “…step-by-step classifi-cation detection…”
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Modelling Lake Ice Phenology with an Examination of Satellite-Detected Subgrid Cell Variability by Laura C. Brown, Claude R. Duguay

“…Both products were useful for detecting ice-off; however, the MODIS product was advantageous for detecting ice-on, mainly due to the finer resolution and resulting spatial detail. …”
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Aircraft Detection for Remote Sensing Images Based on Deep Convolutional Neural Networks by Liming Zhou, Haoxin Yan, Yingzi Shan, Chang Zheng, Yang Liu, Xianyu Zuo, Baojun Qiao

“…Aircraft detection for remote sensing images, as one of the fields of computer vision, is one of the significant tasks of image processing based on deep learning. …”
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Diagnosis and detection of bone fracture in radiographic images using deep learning approaches by Theyazn Aldhyani, Zeyad A. T. Ahmed, Bayan M. Alsharbi, Sultan Ahmad, Sultan Ahmad, Mosleh Hmoud Al-Adhaileh, Ahmed Hassan Kamal, Mohammed Almaiah, Jabeen Nazeer

“…By addressing these challenges, we can further improve DL models for fracture detection. This article tackles the limitations of existing methods for fracture detection and diagnosis and proposes a system that improves accuracy.ConclusionThe findings lay the foundation for future improvements to radiographic systems used in bone fracture diagnosis.…”
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Minimal sourced and lightweight federated transfer learning models for skin cancer detection by Vikas Khullar, Prabhjot Kaur, Shubham Gargrish, Anand Muni Mishra, Prabhishek Singh, Manoj Diwakar, Anchit Bijalwan, Indrajeet Gupta

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Retail commodity detection method based on location learnable visual center mechanism by Xiaohua LYU, Mingchen WEI, Libo LIU

Subjects: “…retail commodity detection…”
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An Improved Saliency Detection Approach for Flying Apsaras in the Dunhuang Grotto Murals, China by Zhong Chen, Shengwu Xiong, Qingzhou Mao, Zhixiang Fang, Xiaohan Yu

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Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images by Linn Abraham, Sheelu Abraham, Ajit K. Kembhavi, N. S. Philip, A. K. Aniyan, Sudhanshu Barway, Harish Kumar

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APT Adversarial Defence Mechanism for Industrial IoT Enabled Cyber-Physical System by Safdar Hussain Javed, Maaz Bin Ahmad, Muhammad Asif, Waseem Akram, Khalid Mahmood, Ashok Kumar Das, Sachin Shetty

“…Machine learning (ML) techniques have shown potential in identifying APT attacks in autonomous and malware detection systems. However, detecting hidden APT attacks in the I-IoT-enabled CPS domain and achieving real-time accuracy in detection present significant challenges for these techniques. …”
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Intelligent Transport Surveillance Memory Enhanced Method for Detection of Abnormal Behavior in Video by Deng-Hui Zhang

“…Autoencoder (AE) can detect abnormal behavior by using reconstruction error information. …”
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Unsupervised detection method of RoQ covert attacks based on multilayer features by Jing ZHAO, Jun LI, Chun LONG, Wei WAN, Jinxia WEI, Kai CHEN

“…To solve the problems that RoQ covert attacks are hidden in overwhelming background traffic and difficult to identify, besides the existing samples are scarce and cannot provide large-scale learning data, an unsupervised detection method of RoQ covert attacks based on multilayer features was proposed under the condition of very little prior knowledge.First, considering that most normal flow might interfere with subsequent results, a classification method based on semi-supervised spectral clustering was studied by flow characteristics, so that the proportion of normal samples in the filtered traffic was close to 100%.Secondly, in order to distinguish the nuance between the hidden attack features and normal flow without relying on the attack samples, an unsupervised detection model based on the n-Shapelet subsequence was constructed by packet characteristics, and the subsequences with obvious difference were used, which enabled detection of RoQ convert attacks.Experimental results demonstrate that with only a small number of learning samples, the proposed method has higher precision and recall rate than existing methods, and is robust to evading attacks.…”
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Establishment of a method for detecting complement C3d-sensitized platelets by LI Hongyang, YU Hongmei, WANG Changmin, LIU Tiemei

“…[Objective] To establish a detection method for complement C3d-sensitized platelets. …”
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Insights into mungbean defense response to Cercospora leaf spot based on transcriptome analysis by Sukanya Inthaisong, Pakpoom Boonchuen, Tana Jaichopsanthia, Pongpan Songwattana, Apinya Khairum, Witsarut Chueakhunthod, Akkawat Tharapreuksapong, Panlada Tittabutr, Neung Teaumroong, Piyada Alisha Tantasawat

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A Fused Multiscale Pictorial Sequence Learning Mechanism Applied to Pavement Detection by Zhang Jiazhen, Wang Xiulai, Zhao Shuxu

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Blind detection of orthogonal space-time block coding based on ICA schemes by GU Bo1, LIU Ju1, XU Hong-ji1

“…Two new schemes were proposed based on ICA blind detection by exploiting the orthogonality of OSTBC. …”
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Gold–Mercury–Platinum Alloy for Light-Enhanced Electrochemical Detection of Hydrogen Peroxide by Yunping Wei, Runze Li, Meng Lin

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FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection by Taojun Zhu, Zikai Zhao, Min Xia, Junqing Huang, Liguo Weng, Kai Hu, Haifeng Lin, Wenyu Zhao

Subjects: “…Change detection (CD)…”
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A Review of Routine Laboratory Biomarkers for the Detection of Severe COVID-19 Disease by Keynaz Keykavousi, Fahimeh Nourbakhsh, Nooshin Abdollahpour, Farzaneh Fazeli, Alireza Sedaghat, Vahid Soheili, Amirhossein Sahebkar

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