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This book explains the ideas behind one of the most well-known methods for knowledge graph embedding of transformations to compute vector representations from a... Læs mere
It covers many applications of generative models for medical image data, including volumetric medical image segmentation, data augmentation, MRI reconstruction, and modeling of spatiotemporal medical data.
This book covers probability and statistics from the machine learning perspective. From probability to machine learning: Many machine learning applications are addressed using probabilistic models, whose parameters are then learned in a data-driven manner.
This book explains the mechanisms underpinning the tactile perception of electrovibration and lays the groundwork for delivering realistic haptic feedback on touchscreens via this method.
Geomagnetic field penetrates through all shells of the solid Earth, hydrosphere and atmosphere, spreading into space.... Læs mere
This book gathers selected papers presented at the conference “Advances... Læs mere
This book offers a collection of high-quality peer-reviewed research papers presented at the Second... Læs mere
This informative book discusses the various spectroscopic techniques applied in the analysis of food and beverages. The book also presents artificial intelligence applications that can be used to enhance the spectral data analysis experience in food safety and quality analysis.