Acquiring the knowledge necessary to apply artificial intelligence and machine learning algorithms to the
\nanalysis and processing of image signals, time series, video and audio, as well as biomedical signals.
\nThe ability to analyse large data obtained from the Internet of Things. Students are trained to analyse,
\nimplement, apply and evaluate artificial intelligence algorithms in image signal processing, time series,
\nvideo and audio signals, as well as to analyse biomedical signals. They know how to apply advanced
\nartificial intelligence techniques to mass distributed systems, especially the Internet of Things.<\/p>\n
Artificial neural networks with direct signal propagation, recurrent neural networks, convolutional neural
\nnetworks. Image, video and audio signal processing using neural networks. Handwriting and speech
\nrecognition. Face recognition. Video segmentation and boundary frame detection. The real-time position of the hand. Convergence of augmented reality, intelligent virtual agents and the Internet of Things. A hybrid approach to image segmentation in the Internet of Things. Big data analytics for the Internet of Things. Time series analysis and prediction. Machine learning techniques in the
\nanalysis of biomedical signals (ECG, EEG, EMG). Noise removal, property extraction, dimensionality
\nreduction (PCA, ICA, KPCA, MSPCA), entropy and other statistical measures.<\/p>\n
Implementation of neural networks with direct signal propagation, recurrent neural network, convolutional
\nneural networks. Image, video and audio signal processing using neural networks. Time series analysis
\nand prediction. Using the TensorFlow and Keras tools. Extraction of boundary frames using Torchvision
\nand Torch tools. Implementation of supervised and unsupervised learning in the Internet of Things.
\nDistributed processing of the Internet of Things via Apache Spark using MLlib and H2O.ai platforms.
\nCase studies for Personal IoT, Industrial IoT and smart cities.<\/p>\n","protected":false},"excerpt":{"rendered":"
Objectives and outcomes Acquiring the knowledge necessary to apply artificial intelligence and machine learning algorithms to the analysis and processing of image signals, time series, video and audio, as well as biomedical signals. The ability … Read more<\/a><\/p>\n Read more<\/a>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[199],"tags":[],"class_list":["post-14042","post","type-post","status-publish","format-standard","hentry","category-subjects"],"acf":[],"yoast_head":"\n