GitHub

svm-model

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 ...
来自MSN

Adagrad Algorithm Explained and Implemented from Scratch in Python

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 ...
GitHub

Heart Disease Classification using Machine Learning Algorithms (SVM, MLP, Random Forest ...

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 ...
financefeeds

Good and Bad Crypto Algorithms Explained Simply

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, ...
IEEE

Comparing SVM and KNN Algorithm for High Accuracy in Brain Tumor Prediction

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 ...
IEEE

Research on Prediction Model Based on Hybrid Algorithm of PSO-SVM Kernel Function

Abstract: To solve the problem of low prediction accuracy of SVM algorithm, this paper proposes a prediction model research method based on PSO-SVM kernel function hybrid algorithm, designs global and ...
Frontiers

A BERT-based rice enhancer identification model combined with sequence-representation ...

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 ...