Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Tech Xplore

AI energy use: New tools show which model consumes the most power, and why

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...
Infosecurity Magazine

Fraud Investigation Reveals Sophisticated Python Malware

A sophisticated Python-based malware deployment uncovered during a fraud investigation has revealed a layered attack ...
Psychology Today

Diagnosing Schizophrenia With Machine Learning

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Coursiv Becomes Official Sponsor of Python Software Foundation

Coursiv sponsors Python Software Foundation, supporting the open-source language powering 80% of AI tools used by ...
How-To Geek on MSN

7 Python mistakes that make your code slow (and the fixes that matter)

Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...

Makeblock mBot2 Rover Robotics Kit Features Encoders for Accurate Motor Control

Makeblock mBot2 Rover Kit features anodized aluminum parts, for STEM and more realistic engineering practice. Ages 8+ and 12+ tiers ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
IEEE

Multi-Modal Framework for Skin Lesion Classification Using Deep Learning and Machine Learning Techniques

Abstract: Skin cancer, especially melanoma, is one of the most threatening diseases of the modern world. Therefore, accurate and timely diagnosis is critical. This work proposes a methodology based on ...