An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

This project demonstrates the application of various machine learning algorithms for heart disease classification. By comparing the performance of SVM, MLP, and Random Forest models, we can determine ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

Abstract: The main aim of this research is to compare the efficacy of Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) algorithms in high-precision brain tumor prediction, solving for the ...

School of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China Previous studies on 10 kV cable intermediate joint defects have mainly focused on typical defect types and ...

Rice is a crucial food crop, and research into its gene expression regulation holds significant importance for molecular breeding and yield improvement. Enhancers, as key elements regulating the ...