Cyberattacks, especially data injection attacks, are becoming more common as smart grids are increasingly interconnected. In addition, accurate and unbiased high-quality data is required for model ...

Building a PC for AI or machine learning is very different from making your own gaming machine. Here are some top tips so you won't go wrong.

Abstract On the basis of the principal components analysis-particle swarm optimization-least squares support vector machine (PCA-PSO-LSSVM) algorithm, a fault diagnosis system is proposed for the ...

Large dimensionality of data makes the training samples sparse within each dimension, and it will weaken the effectiveness of machine learning methods while the number of training data is not ...

Risk management is relevant for every project that which seeks to avoid and suppress unanticipated costs, basically calling for pre-emptive action. The current work proposes a new approach for ...

Machine Learning Algorithm Development Over time, there have been notable developments in the field of machine learning as algorithms have become increasingly complex and task-specific. Data ...

Their objective was to develop and validate machine learning models employing three distinct algorithms based on post-operative mpMRI to predict PCa local recurrence after RP, comparing their clinical ...