Never-before-seen Linux malware is “far more advanced than typical”

Researchers have discovered a never-before-seen framework that infects Linux machines with a wide assortment of modules that ...
IEEE

On-Chip Implementation of Neural Network-Based Classifier Models for E-Nose With Chemometric Analysis

Abstract: The present work focuses on the comprehensive implementation of gas/mixture identification employing chemometric analysis followed by on-chip realization. The chemometric analysis has been ...
IEEE

Using Radial Basis Function Neural Network With Weight Memory Mechanism: Nonlinear System Identification

Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...
GitHub

HMAC-based key derivation function (HKDF) standalone implementation using pure Python.

This library contains a pure-Python implementation of the HMAC-based key derivation function (HKDF) as specified in RFC 5869. The order and names of arguments within the function signatures in this ...
Hosted on MSN

Neural network cost functions explained & how to choose

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...