… , they can pinpoint the kind of abnormality in the heart. Cardiac … The ultimate goal of training
an automatic model is to predict … the predictions on image samples when we apply histogram …

… alarm the sound to prevent the fire. This could be possible if … The authors proposed a robust
prediction model for real-life … [79] 2010 Proposed an ML-based anomaly detection system …

… to discover exceptions or abnormalities for sensor network … is considered far away from a
sound framework appropriation [116]. A … CPS wellbeing frameworks are predicted to shape the …

… general effects predicted above give rise to a longer list of specific, testable predictions." … In
contrast to early reports, recent findings (especially with flotation REST) support this prediction…

… Deep learning algorithm based on Mask R-CNN segmentation of bovine nostril region for
respiratory … Using animal-mounted sensor technology and machine learning to predict time-to-…

… of four Adaboost algorithm based artificial neural networks in wind speed predictions[J].…
Application of deep learning in histopathological image classification of aortic medial …

… a prediction that there would be no significant differences in different kinds of pinjam. This
prediction is … These are the results after we eliminated an anomaly that our number 3 subject (a …

… and during this time more than 300 predictions were given for earthquakes with magnitudes
… of prediction. Perhaps this method will allow to reach a new level in earthquake forecasting. …

… Multimodal drowsiness detection methods using machine learning algorithms. IEEE
Transactions on Smart Processing & Computing, 2018, 7 (5): 361 – 365. [107] ESPINOSA A, …

In the current article, author examines the problem of development of the art activity by
designing national costume, aims to emit and describe components of the art-activity. The paper …