pv magazine International

New multi‑hotspot detection tech based on Lab* feature descriptor

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...
GitHub

APR Mini Project on SVM and SVR

In this project, We build a Support Vector Machines classifier to classify a Pulsar star. We have used the Predicting a Pulsar Star dataset for this project. We have downloaded this dataset from the ...
IEEE

Diminishing learning based SVM classifier with non-linear kernels

Abstract: Support Vector Machine (SVM) is one of the state-of-the-art tools for linear and nonlinear pattern classification. One of the design issues in SVM classifier is reducing the number of ...
IEEE

Handwritten Digit Recognition by Combining SVM Classifiers

Abstract: Recent results in pattern recognition have shown that SVM (support vector machine) classifiers often have superior recognition rates in comparison to other classification methods. In this ...