TITLE: Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by Dragonfly Algorithm (DA) ...

🧠 Support Vector Machines (SVM) for Breast Cancer Classification 📌 Objective Use Support Vector Machines (SVMs) for binary classification of breast cancer (Malignant vs. Benign). The project ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict a person's income based on their age, height, high school GPA, and so on.

Abstract: A Support Vector Machine (SVM) algorithm, combined with the Radial Basis Function (RBF), is employed in this paper for diagnosing power transformer oil through Dissolved Gas Analysis (DGA).