NoCs performance depends mainly on the type of routing algorithm chosen. In this paper three different types of routing algorithms are being compared firstly one is deterministic routing (XY routing algorithm), secondly three partially adaptive routing (West-first, North-last and Negative-first) and...
Because of an abundance of subtle, but often important, differences between evaluation protocols, systematic comparison between continual learning algorithms is challenging, even when papers use the same datasets9. It is therefore not surprising that numerous continual learning methods claim to be state-...
Another sample, examples/webgl_geometry_extrude_splines.html, allows you to interactively select from a variety of spline generation algorithms and even follow the spline curve using an animated camera. Combining splines with extrusions is a great technique for generating organic-looking shapes. Spline...
The three tests are organized in two decision algorithms so that they produce systematic and statistical measures for a similarity decision between two objects in a hierarchical manner. Based on the systematic statistical evaluation of similarity, a decision can be reached whether the suspect model is...
While these deep learning-based segmentation algorithms have improved the accuracy of retinal vessel segmentation to some extent, they face challenges when dealing with fine vessels and subtle differences between vessel boundaries and background pixels. This can lead to feature information loss during the...
(Q_SC).There are a lot of changes for Landsat8 thermal infrared sensor(TIRS)compared with Landsat TM6.Thus a mono-window algorithm for Landsat 8data(TIRS10_SC)was proposed first,and then some comparison and analysis of three mono-window algorithms were conducted in this paper.The results ...
AI auditing is a relatively recent field of study, sparked in 2014 by Sandvig et al.’s articleAuditing Algorithms[1]. However, auditing intersects with almost every aspect of AI governance, from the documentation of design procedures to model testing and verification [106]. AI auditing is thus...
N-way principal component analysis theory, algorithms and applications Due to sophisticated experimental designs and to modern instrumental constellations the investigation of N-dimensional (or N-way or N-mode) data arrays is ... René,Henrion - 《Chemometrics & Intelligent Laboratory Systems》 被引...
(PID) surface. Traditional optimization methods often fail to deliver satisfactory results when optimizing these parameters. In the realm of scientific research and technical applications, there has been a notable surge in the utilization of evolutionary algorithms (EAs) as efficient and effective ...
(for example, oversampling and undersampling) to modify the class distribution of the training set and make it more balanced, thereby allowing conventional learning algorithms to perform well20,21,22,23,24. Another popular method is cost-sensitive learning, which allocates higher cost when mis...