IEEE

Robust Fault Classification of Three Phase Induction Motor Using GWO-SVM With Simulation and Hardware Validation

Abstract: This paper presents a comprehensive fault classification framework for three-phase Induction Motors (IMs) using a novel Grey Wolf Optimization-enhanced Support Vector Machine (GWO-SVM) ...
IEEE

Automatic modulation classification for cognitive radios using cyclic feature detection

Abstract: Cognitive radios have become a key research area in communications over the past few years. Automatic modulation classification (AMC) is an important component that improves the overall ...
GitHub

Animated Adaptive Linear Neuron (Adaline)

How can a machine learning model be trained to classify flowers? The fundamental question behind this is how a machine learning model categorizes data like the flower pictures. Adaline (Adaptive ...
Analytics India Magazine

Why MathWorks Will Be Crucial for Physical AI Era

MATLAB could anchor the physical AI era, where simulation-first engineering and grounded generative AI turn physics into reliable, deployable intelligence. Recognize MATLAB as a vital tool in ...
GitHub

Explainable AI: interpreting the classification performed by deep learning with LIME

This demo shows how to interpret the classification by CNN using LIME (Local Interpretable Model-agnostic Explanations) [1]. This demo was created based on [1], but the implementation might be a ...
Business Wire

MathWorks Announces Release 2017b of the MATLAB and Simulink Product Families

NATICK, Mass.--(BUSINESS WIRE)--MathWorks today introduced Release 2017b (R2017b), which includes new features in MATLAB and Simulink, six new products, and updates and bug fixes to 86 other products.