Search alternatives:
bayesian optimization » based optimization (Expand Search)
based detection » case detection (Expand Search), rapid detection (Expand Search), cancer detection (Expand Search)
art bayesian » a bayesian (Expand Search), from bayesian (Expand Search), _ bayesian (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary art » binary pairs (Expand Search)
data based » data used (Expand Search)
bayesian optimization » based optimization (Expand Search)
based detection » case detection (Expand Search), rapid detection (Expand Search), cancer detection (Expand Search)
art bayesian » a bayesian (Expand Search), from bayesian (Expand Search), _ bayesian (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary art » binary pairs (Expand Search)
data based » data used (Expand Search)
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Prediction of health disorders in dairy cows monitored with collar based on Binary logistic analysis
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.
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.
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
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.
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.
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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