Showing 21 - 40 results of 110 for search '(( binary art bayesian optimization algorithm ) OR ( binary data based detection algorithm ))', query time: 0.41s Refine Results
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    Prediction of health disorders in dairy cows monitored with collar based on Binary logistic analysis by Xiaojing Zhou (521545)

    Published 2023
    “…<div><p>ABSTRACT The objective of this study was to analyze data on physical activity and rumination time monitored via collars at the farm coupled with milk yield recorded by the rotary milking system to predict cows based on several disorders using the binary Logistic regression conducted with R software. …”
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    Data set constituents. by Rémy Peyret (14691736)

    Published 2023
    “…We describe a patch-based algorithm that incorporates a convolutional neural network to detect and locate invasive carcinoma on breast whole-slide images. …”
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    Classification report based on HaPi. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…Nonetheless, the purview of propaganda detection transcends textual data alone. Deep learning algorithms like Artificial Neural Networks (ANN) offer the capability to manage multimodal data, incorporating text, images, audio, and video, thereby considering not only the content itself but also its presentation and contextual nuances during dissemination.…”
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    Data_Sheet_1_Calcium Spark Detection and Event-Based Classification of Single Cardiomyocyte Using Deep Learning.pdf by Shengqi Yang (9269216)

    Published 2021
    “…Despite increasing use of machine-learning algorithms in deciphering the content of biological and medical data, Ca<sup>2+</sup> spark images and data are yet to be deeply learnt and analyzed. …”
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    Results of the model on test sets 1 and 2. by Rémy Peyret (14691736)

    Published 2023
    “…We describe a patch-based algorithm that incorporates a convolutional neural network to detect and locate invasive carcinoma on breast whole-slide images. …”
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    Scanners and staining methods. by Rémy Peyret (14691736)

    Published 2023
    “…We describe a patch-based algorithm that incorporates a convolutional neural network to detect and locate invasive carcinoma on breast whole-slide images. …”
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