Abstract: In the pursuit of enhancing industrial pump reliability and efficiency, this paper addresses the challenging issue of pump cavitation detection through the innovative application of machine ...
Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
Germany’s most important research funding prize is presented to ten researchers / Prize money of €2.5 million each / Award ceremony to be held in Berlin on 18 March ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Abstract: Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
William Parks is a Game Rant editor from the USA. Upon graduating from the University of Southern California’s School of Cinematic Arts, William entered the realm of fine arts administration, ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
With the development of artificial intelligence(AI) in computer science and statistics, it has been further applied to the medical field. These applications include the management of infectious ...
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