JadePuffer ransomware used AI agent to automate entire attack

Researchers identified what they believe is the first documented case of a ransomware operation, JadePuffer, conducted ...
Scientific Research Publishing

Fault Diagnosis in Photovoltaic Systems Using Machine Learning Algorithms ()

1 Department of Electrical Engineering, Pan African University Institute for Basic Sciences, Technology, and Innovation (PAUSTI), Nairobi, Kenya. 2 Department of Renewable Energy, Higher Technical ...
IEEE

An Enhanced Trace Ratio Linear Discriminant Analysis for Fault Diagnosis: An Illustrated Example Using HDD Data

Abstract: This paper proposes a pattern recognition method for the fault diagnosis of machinery based on an enhanced trace ratio linear discriminant analysis (ETR-LDA) algorithm. It is an extension of ...
GitHub

An open software package dedicated for the development of Brain-Computer Interfaces with various advanced pattern recognition algorithms

We provide detail information in each folder and every function. 'Examples' : Basic example codes for MI, ERP, SSVEP are included. -Folder : Examples :run_MI (example for the analysis of motor ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
Hacker

Complexity Simplified: How Oblique Decision Trees are Transforming Data Interpretation

Decision Trees theory is a method used in machine learning and data analysis that allows building decision-making models with tree-shaped hierarchy. In each node of the tree, a certain criterion is ...
Frontiers

A Transfer Learning Algorithm to Reduce Brain-Computer Interface Calibration Time for Long-Term Users

Current motor imagery-based brain-computer interface (BCI) systems require a long calibration time at the beginning of each session before they can be used with adequate levels of classification ...
Frontiers

A Novel Motion Recognition Method Based on Force Myography of Dynamic Muscle Contractions

Surface electromyogram-based pattern recognition (sEMG-PR) has been considered as the most promising method to control multifunctional prostheses for decades. However, the commercial applications of ...