eLife

Prefoldin 5 is a microtubule-associated protein that suppresses Tau aggregation and neurotoxicity

Prefoldin 5 stabilises neuronal microtubules and suppresses Tau-mediated neurotoxicity, offering a potential therapeutic target for tauopathies.
GitHub

Machine Learning spam classifier achieving 98% accuracy using SVM, NLP, and TF-IDF vectorization

An intelligent spam detection system that classifies SMS/email messages with 98.48% accuracy using machine learning. This project compares multiple algorithms and provides comprehensive performance ...
GitHub

Heart Disease Classification using Machine Learning Algorithms (SVM, MLP, Random Forest) for Medical Diagnosis

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 ...
Frontiers

Identifying metabolism-related genes in liver cancer through weighted gene co-expression network analysis and machine learning

Objective: As a leading cause of cancer-related mortality, liver cancer was associated with metabolic dysregulation. We aimed to identify metabolism-related prognostic biomarkers and therapeutic ...
Frontiers

Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm

1 School of Information Engineering, Anhui University of Chinese Medicine, Hefei, China 2 School of Pharmaceutical Economics and Management, Anhui University of Chinese Medicine, Hefei, China ...
EurekAlert!

Neuromorphic devices and machine learning combine to make brain-like devices possible

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
IEEE

Comparative Analysis of Machine Learning Algorithms for Antenna Alignments

Abstract: In the rapidly evolving field of radio frequency (RF) engineering, precise antenna alignment remains a critical challenge, directly influencing communication performance and reliability.
Scientific Research Publishing

Martinez, C., Nguyen, L. and Patel, A. (2023) RF-Vit-Gan: Unsupervised RF Signal Synthesis Using Vision Transformers. NeurIPS Workshop on Deep Learning for Physical Sciences ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...