Abstract: In this survey paper, we characterize the learning problem in cognitive radios (CRs) and state the importance of artificial intelligence in achieving real cognitive communications systems.
It remains poorly understood how different cells in a tissue organize and coordinate with each other to support tissue functions. To better understand the structure-function relationship of a tissue, ...
Preeclampsia is a multisystem hypertensive disorder that manifests itself after 20 weeks of pregnancy, along with proteinuria. The pathophysiology of preeclampsia is incompletely understood.
The Energy Systems and Data Analytics MSc equips you with advanced data science, artificial intelligence and energy modelling skills to address the complex challenges in the energy transition. The ...
If you are interested in learning the basics of how Artificial Intelligence (AI) functions this quick guide will take you through an overview of the technologies and methods used by the latest large ...
Abstract: Deep networks have achieved excellent performance in learning representation from visual data. However, the supervised deep models like convolutional neural network require large quantities ...
Copyright: © 2023 The Author(s). Published by Elsevier B.V. Deep learning has revolutionized digital pathology, allowing automatic analysis of hematoxylin and eosin ...
Automatic detection of macromolecular complexes is an open and challenging problem in cellular cryoelectron tomography. Existing computational methods rely on known structural templates or manually ...
Objective: Cardiovascular disease (CVD) is one of the leading causes of death worldwide, and answers are urgently needed regarding many aspects, particularly risk identification and prognosis ...
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