Results 161 to 170 of about 1,254,795 (317)
Drawbacks of Employing Self-driving Automobiles
An autonomous car (AC), driverless car (DC), robotic car, or self-driving car is a vehicle that can operate with little to no human input. All aspects of driving, such as observing the surroundings, keeping an eye on critical systems, and operating the vehicle including navigating from one place to another are handled by self-driving cars.
DK Garba +3 more
openaire +1 more source
Advanced Sensor Research, EarlyView.A wearable capacitive eye tracker for chronic fatigue assessment is presented, utilizing cylindrically shaped capacitive sensors made of a carbon nanotube‐paper composite. By integrating a novel fatigue‐induction protocol with machine learning, the device achieves 0.75‐sensitivity and 0.73‐specificity, providing a practical alternative to existing ...
Tianyi Li +6 more
wiley +1 more source
Advanced Sensor Research, EarlyView.This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh +11 more
wiley +1 more source
Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion
Advanced Sustainable Systems, EarlyView.This study introduces a novel method that combines CFD, RSM, and ML to improve a microreactor's performance utilizing the Sabatier reaction. A range of ML models is assessed, and the best one is selected to predict optimal reactor conditions. ML shows the ability to predict performance in just milliseconds, leading to a decrease in computational time ...
Sandeep Kumar +2 more
wiley +1 more source
Impaired Curve Negotiation in Drivers with Parkinson’s Disease
Türk Nöroloji Dergisi, 2009 OBJECTIVE: To assess the ability to negotiate curves in drivers with Parkinson’s disease (PD). METHODS: Licensed active drivers with mild-moderate PD (n= 76; 65 male, 11 female) and elderly controls (n= 51; 26 male, 25 female) drove on a simulated 2 ...
Ergun Y Uç +5 more
doaj
Automobile Optimal Driving Control Using Surrounding Information Based on Model Predictive Control
, 2010 Dongmei Wu +4 more
openalex +1 more source
HARMLESS Early Warning System for Advanced Materials
Advanced Sustainable Systems, EarlyView.The HARMLESS Early Warning System tackles Advanced Materials (AdMa) risk governance by providing a framework, organised in two tiers, underpinned with methods/tools to support risk assessors in the pre‐assessment preceding risk assessment. It allows for initial screening to identify AdMa with concerns considering exposure, hazards, sustainability and ...
Julia Prinz +11 more
wiley +1 more source
Automated Driving System of Automobile for Fuel Saving
, 2010 Taketoshi Kawabe
openalex +2 more sources
Advanced Theory and Simulations, EarlyView.This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas +2 more
wiley +1 more source
Lack of HIV infection among truck drivers in Iran using rapid HIV test
Journal of Research in Medical Sciences, 2010 Background: The aim of this study was to evaluate the prevalence of HIV infection in Iranian long distance truck drivers using rapid HIV test. Methods: The study included 400 consecutive participants in Bazargan city, north-west of Iran in the late 2008
Hossain Jabbari +10 more
doaj