A security detection approach based on autonomy-oriented user sensor in social recommendation network by Shanshan Wan, Ying Liu

“…Most shilling attack detection approaches depend on the explicit user historical data to locate shilling attackers. …”
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Advances in micro-/nanorobots for cancer diagnosis and treatment: propulsion mechanisms, early detection, and cancer therapy by Baiyang Fu, Dan Luo, Chao Li, Yiwen Feng, Wenlong Liang

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Learning to Detect Traffic Incidents from Data Based on Tree Augmented Naive Bayesian Classifiers by Dawei Li, Xiaojian Hu, Cheng-jie Jin, Jun Zhou

“…This study develops a tree augmented naive Bayesian (TAN) classifier based incident detection algorithm. Compared with the Bayesian networks based detection algorithms developed in the previous studies, this algorithm has less dependency on experts’ knowledge. …”
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Near-infrared light reflection for the early detection of proximal caries in posterior teeth: an in vivo study by Liheng Shen, Xiqun Yang, Chengzhi Dong, Xiaodong Tang, Simin Zheng, Tingting Wang, Linhong Wang, Fan Yang, Yuchen Zheng

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Vector Atomic Magnetometer with Free Induction Decay Detection Based on a Microfabricated Vapor Cell by Pengbo Jiang, Qi Li, Jianan Qin, Zhiyuan Jiang

“…Extracting vector information while maintaining high-precision scalar detection has become the trend in atomic magnetometer development. …”
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A Bayesian analysis of birth pulse effects on the probability of detecting Ebola virus in fruit bats by Pleydell, David R.J., Ndong Bass, Innocent, Mba Djondzo, Flaubert Auguste, Meta Djomsi, Dowbiss, Kouanfack, Charles, Peeters, Martine, Cappelle, Julien

“…(3) are swab samples really appropriate for ebolavirus detection? The current results provide important insights for the design of future field studies aiming to detect Ebola viruses from sylvatic hosts, and can contribute to risk assessments concerning the timing of zoonotic outbreaks.…”
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Parameter Selection for PSO-Based Hybrid Algorithms and Its Effect on Crack Detection in Cantilever Beams by Amin Ghannadiasl, Saeedeh Ghaemifard

Subjects: “…crack detection…”
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Patient-Specific Detection of Atrial Fibrillation in Segments of ECG Signals using Deep Neural Networks by Jeyson A. Castillo, Yenny C. Granados, Carlos Augusto Fajardo Ariza

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DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

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Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection by Sajad Einy, Hasan Saygin, Hemrah Hivehch, Yahya Dorostkar Navaei

“…In this research, we proposed three different end-to-end deep learning approaches for analyzing effects of local and deep features for brain MRI images anomaly detection. The first proposed system is Directional Bit-Planes Deep Autoencoder (DBP-DAE) which extracts and learns local and direction features. …”
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Data acquisition system for OLED defect detection and augmentation of system data through diffusion model by Byungjoon Kim, Yongduek Seo

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Hybrid multi‐level hardware Trojan detection platform for gate‐level netlists based on XGBoost by Ying Zhang, Sen Li, Xin Chen, Jiaqi Yao, Zhiming Mao, Jizhong Yang, Yifeng Hua

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Detection and Severity Assessment of Temporomandibular Joint Osteoarthritic Changes in Patients with Temporomandibular Disorders Using CBCT by Kharman Khidhr Rahman, Shahen Ali Ahmed, Sarkawt Hamad Ali, Khoshee Salh Hamed

“…No significant association was detected between age and changes in articular eminence. …”
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Proximal Sessile Serrated Adenomas Are More Prevalent in Caucasians, and Gastroenterologists Are Better Than Nongastroenterologists at Their Detection by Malav P. Parikh, Sujit Muthukuru, Yash Jobanputra, Kushal Naha, Niyati M. Gupta, Vaibhav Wadhwa, Rocio Lopez, Prashanthi N. Thota, Madhusudhan R. Sanaka

“…Results. 140 PSSAs were detected from 4151 colonoscopies, with a prevalence of 3.4%. …”
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The Value of GeneXpert MTB/RIF for Detection in Tuberculosis: A Bibliometrics-Based Analysis and Review by Zhiyi Li

“…It targets the rifampicin resistance gene, rpoB, and can detect both MTB and resistance to rifampicin within 2 h. …”
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Electrogastrogram-based detection of cybersickness with the application of wavelet transformation and machine learning: A case study by Ilija V. Tanasković, Nenad B. Popović, Jaka J. Sodnik, Sašo J. Tomažič, Nadica S. Miljković

“…Methods: This study introduces objective parameters for the detection of CS using three-channel electrogastrogram (EGG) recording from one specific subject and assesses the independence and linear correlation for appropriate channel selection. …”
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Pursuit on the plane by objects moving away from the trajectory of defending object, with simulation of detection area by A. А. Dubanov, T. V. Ausheev

“…For each pursuing object, a detection area is formed. The detection area is formed by two beams. …”
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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data by Tian Xia, Lanju Zhou, Khalil Ahmad

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Duplex qPCR for detecting and differentiating porcine epidemic diarrhea virus GI and GII subtypes by Bin Wang, Wang Han, Di Wu, Yue Jing, Li Ma, Feiyang Jiang, Shusen Ji, Lianmei Bai, Xiuju Yu, Wei Hou, Shouyu Wang, Haidong Wang

“…Leveraging this information, we developed a TaqMan probe-based quantitative real-time PCR (qPCR) assay that is uniquely tailored to detect both PEDV GI and GII subtypes.ResultsAdditionally, this qPCR can identify PEDV GI and GII subtypes with high sensitivities of 90 copies/μL and 40 copies/μL, respectively (refers to the number of copies of the DNA target per microliter of template in the reaction system), much higher than the previously reported works and especially suitable for early diagnosis and prevention. …”
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Hierarchical graph-based integration network for propaganda detection in textual news articles on social media by Pir Noman Ahmad, Jiequn Guo, Nagwa M. AboElenein, Qazi Mazhar ul Haq, Sadique Ahmad, Abeer D. Algarni, Abdelhamied A. Ateya

“…In this study, we propose a Hierarchical Graph-based Integration Network (H-GIN) designed for detecting propaganda in text within a defined domain using multilabel classification. …”
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