The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and responsibility, patient ...
Artificial intelligence technology allows computers and machines to simulate human intelligence and problem-solving ...
The Embedded Multicore Building Blocks (EMB²) are an easy to use yet powerful and efficient C/C++ library for the development of parallel applications. EMB² has been specifically designed for embedded ...
Abstract: This paper presents how an optimal optimization method, genetic algorithm (GA), is applied for finding a suitable combination of VISSIM parameters. The north-south (N-S) expressway is ...
The course is a compulsory course in the Software Engineering and Management, bachelor's Programme (N1SOF). The course can also be part of the following programmes: Applied Data Science Master's ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A critical bottleneck for the training of large neural networks (NNs) is communication ...
To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D ...
Reinforcement Learning (RL) controllers have proved to effectively tackle the dual objectives of path following and collision avoidance. However, finding which RL algorithm setup optimally trades off ...
The nature and neural implementation of emotions is the subject of vigorous debate. Here, we use Bayesian decision theory to address key complexities in this field and conceptualize emotions in terms ...
A comprehensive approach to shock reduction includes appropriate patient selection, management of heart failure, ICD programming, and in some cases, use of antiarrhythmic drugs and catheter ablation ...
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