Titlebook: Artificial Intelligence and Soft Computing; 21st International C Leszek Rutkowski,Rafa? Scherer,Jacek M. Zurada Conference proceedings 2023

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Transfer Learning with?Deep Neural Embeddings for?Music Classification Tasksssification tasks with several datasets. The tasks include genre recognition, speech/music distinguishing, predominant instrument recognition and performer identification. We propose the usage of pre-trained . neural networks for feature extraction and apply several supervised classification algorit

Adrenaline

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BiLSTM Deep Learning Model for?Heart Problems Detectionare many types of deep learning models, however the most important to fit architecture and training model to the input data. In this article we propose a model of deep learning based on architecture in which we use BiLSTM neural network. Proposed model is trained by using Adam algorithm. For the res

Myocarditis

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上釉彩

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An Application of?Information Granules to?Detect Anomalies in?COVID-19 Reportsschool education have changed. A significant part of worldwide business has migrated to the virtual world, and the global supply chains have been disrupted. On the other hand, this new situation created opportunities for a much faster development of some areas of business and science. For example, t

amplitude

Type-2 Fuzzy Classifier with?Smooth Type-Reduction type-1 set. All accurate type reduction methods used to build fuzzy classifiers are based on the recursive Karnik-Mendel algorithm, which is troublesome to obtain a feedforward type-2 fuzzy network structure. Moreover, the KM algorithm and its modifications complicate the learning process due to th