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    Detecting cognitive engagement in online course forums: A review of frameworks and methodologies by Nazmus Sakeef, M. Ali Akber Dewan, Fuhua Lin, Dharamjit Parmar

    Published 2025-06-01
    “…This study also examines the natural language processing and deep learning approaches employed and integrated with the above three educational frameworks in the existing literature concerning the detection of cognitive engagement in the context of online learning. …”
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    Article
  3. 1463

    Detection of egg appreance based on Fasternet and YOLOv5 model by WEI Jingxin, CHEN Zhongju, XU Haoran

    Published 2024-08-01
    “…ObjectiveEfficiently identify eggs with defects on their appearance in the automatic production process.MethodsDesigned a detection model based on fusing Fasternet module and YOLOv5s. …”
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    Article
  4. 1464

    Detection and quantification of Salmonella spp. in poultry slaughterhouses of southern Brazil by Karen Apellanis Borges, Eduarda Boff Martelo, Lilian Andriva dos Santos, Thales Quedi Furian, Isabel C Cisco, Luciane Manto, Luciana R dos Santos

    Published 2019-05-01
    “…We aimed to detect and to quantify the presence of Salmonella in Brazilian processing plants by real-time quantitative polymerase chain reaction (qPCR). …”
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  5. 1465

    Defect detection in textiles using back propagation neural classifier by Subrata Das, Amitabh Wahi, Suresh Jayaram

    Published 2023-09-01
    “…The manual inspection in defect detections is not encouraged these days in manufacturing process. …”
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    Article
  6. 1466

    Computer networks anomaly detection by using PCA & pattern recognition by Elham Bideh, Javad Vahidi

    Published 2025-06-01
    “…Thus far, different artificial intelligence methods and algorithms have been proposed, tested, and utilized for detecting these anomalies. However, attempts made to enhance the speed and accuracy of these anomalies’ detection process are continuously ongoing. …”
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  7. 1467

    Research on the Application of Acoustic Far Detection Technology in Relief Well by ZHAO Long, LI Zhen, GUO Shangjing, SUN Xiaofang

    Published 2024-04-01
    “…Relief well is an effective technical means to control the accident well, and it needs to accurately detect the location of the accident well in the implementation process. …”
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    Towards Parkinson’s Disease Detection Through Analysis of Everyday Handwriting by Jeferson David Gallo-Aristizabal, Daniel Escobar-Grisales, Cristian David Ríos-Urrego, Jesús Francisco Vargas-Bonilla, Adolfo M. García, Juan Rafael Orozco-Arroyave

    Published 2025-02-01
    “…<b>Objectives:</b> This paper analyzes the suitability of modeling the handwriting process of digits from 0 to 9 to automatically discriminate between PD patients and healthy control subjects. …”
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  9. 1469

    Generative adversarial local density-based unsupervised anomaly detection. by Xinliang Li, Jianmin Peng, Wenjing Li, Zhiping Song, Xusheng Du

    Published 2025-01-01
    “…This approach not only considers different data distributions but also incorporates neighborhood relationships, enhancing anomaly detection accuracy. First, by utilizing the adversarial process of GANs, including the loss function and the rarity of anomaly objects, we constrain the generator to primarily fit the probability distribution of normal objects during the unsupervised training process; Subsequently, a synthetic dataset is sampled from the generator, and the local synthetic density, which is defined by measuring the inverse of the sum of distances between a data point and all objects in its synthetic neighborhood, is calculated; Finally, the objects that show substantial density deviations from the synthetic data are classified as anomaly objects. …”
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