Frontiers

AI & Machine Learning for Injury Prediction: From Data to Preventive Strategies

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
GitHub

prazadcraftz/Research-Paper--Driver-drowsiness-detection

A deep learning-based real-time driver drowsiness detection and alert system using CNN-LSTM architecture. The model analyzes eye movements, mouth openness (yawning), and head pose to accurately ...
LinkedIn

Built → Tested → Improved: Driver Drowsiness Detection System (Update)

A few weeks ago, I shared how I built a real-time Driver Drowsiness Detection System using Deep Learning and Computer Vision. Since then, I've focused on making it closer to real-world deployment.
LinkedIn

How I Built a Real-Time Driver Drowsiness Detection System Using Deep Learning and Computer Vision

Every year, thousands of road accidents occur due to driver fatigue. What makes this especially dangerous is that drowsiness often develops gradually, and by the time the driver realizes it, reaction ...
The New York Times

This A.I. Tool Is Going Viral. Five Ways People Are Using It.

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...
IEEE

Reliable Drowsiness Detection using Machine learning Integrated with an Alert System

This study intends to bring onboard and execute a real-time drowsiness alert system using machine learning that will monitor the drivers' eye movement behaviours, thus, reducing the risk of road ...
GitHub

bajadi-mohamed/Real_Time_Driver_Drowsiness_Detection

The Real-Time Driver Drowsiness Detection System is an advanced computer vision solution designed to monitor driver alertness and prevent accidents caused by drowsiness. The system analyzes facial ...
Frontiers

An EEG-based machine learning framework for diagnosing acute sleep deprivation

Acute sleep deprivation significantly impacts cognitive function, contributes to accidents, and increases the risk of chronic illnesses, underscoring the need for reliable and objective diagnosis. Our ...
Nature

Non-technical loss detection in power distribution networks using machine learning

Non-technical losses (NTL) in power distribution, such as illegal meter tapping, cause significant financial losses for utilities, amounting to billions annually. This study evaluates various machine ...
Scientific Research Publishing

Chirra, V., ReddyUyyala, S. and KishoreKolli, V. (2019) Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State.

ABSTRACT: This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from ...
Nature

Detection of breast cancer using machine learning and explainable artificial intelligence

Breast cancer is characterized by the proliferation of abnormal breast cells that eventually turn into malignant tumors. These cancer cells can metastasize to be life-threatening and fatal. An ...