Scientific Research Publishing

Pedamonti, D. (2018) Comparison of Non-Linear Activation Functions for Deep Neural Networks on MNIST Classification Task. arXiv.

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
Finance & Commerce

8th Circuit upholds contractor law injunction denial

8th Circuit rejects challenge to Minnesota’s 2024 contractor law Construction trade groups claimed the 14-part test was vague Court found plaintiffs unlikely to succeed on constitutional claims ...
IEEE

Three-Dimensional Electromagnetic and Circuit Cosimulation for Printed Circuit Boards Mounted Linear and Non-Linear Electric Elements

Abstract: Currently, there is no established method for simulating the excessive response of printed circuit boards (PCBs) with nonlinear circuit elements through electromagnetic field simulation. On ...
GitHub

SVMClassifier-Linear Kernel - 3 class classification data

here , Linear kernel does hard classification, but OVR.predict uses score() method and does plattScaling. Please do let me know what is the possible issue here. How to get prediction result from this ...
Electronic Design

Analog Filter and Linear Circuits Text Plus Kits

EIM Technologies' Kickstarter campaign ended on April 16, 2025, reaching ~$108,000 in pledges. The book and associated kits can now be ordered from EIM directly, with details below. EIM used ...
MarketWatch

Linear Systems Empowers Analog Engineers with Release of "JFET Circuit Design: A Schematics Library"

FREMONT, Calif., March 6, 2025 /PRNewswire/ -- Linear Systems, a leader in monolithic dual JFETs and small-signal discrete semiconductor manufacturing, announces the release of JFET Circuit Design: A ...
Ars Technica

Getting an all-optical AI to handle non-linear math

A standard digital camera used in a car for stuff like emergency braking has a perceptual latency of a hair above 20 milliseconds. That’s just the time needed for a camera to transform the photons ...
Frontiers

EEG channel and feature investigation in binary and multiple motor imagery task predictions

Introduction: Motor Imagery (MI) Electroencephalography (EEG) signals are non-stationary and dynamic physiological signals which have low signal-to-noise ratio. Hence, it is difficult to achieve high ...