A MULTI-CLASS DRIVER BEHAVIOR DATASET FOR REAL-TIME DETECTION AND ROAD SAFETY ENHANCEMENTDOI: 10.5281/ZENODO.14908802.

A multi-class driver behavior dataset for real-time detection and road safety enhancementdoi: 10.5281/zenodo.14908802.

This paper introduces a novel dataset designed to support the development of AI-driven driver monitoring systems.The dataset captures real-world driver behaviors under diverse driving conditions, including private vehicles and public buses, in Dhaka, Bangladesh.It comprises 7286 high-resolution images categorized into five Scissors behavioral class

read more

Self Silencing in Young Women

The concept of self silencing which has been taken attention mainly in the cross cultural contexts has been investigated for a while.Self silencing mainly experienced by women refers to the fact that women care more about the wishes, expectations and needs of others in their Bikini close relationships.Avoiding conflict, maintaining the relationship

read more

Comparison of Volatiles in Different Jasmine Tea Grade Samples Using Electronic Nose and Automatic Thermal Desorption-Gas Chromatography-Mass Spectrometry Followed by Multivariate Statistical Analysis

Chinese jasmine tea is a type of flower-scented tea, which is produced by mixing green tea with the Jasminum sambac flower repeatedly.Both the total amount and composition of volatiles absorbed from the Jasminum sambac flower are mostly responsible for its sensory quality grade.This study aims to compare volatile organic compound (VOC) differences

read more


Accounting for Wood, Foliage Properties, and Laser Effective Footprint in Estimations of Leaf Area Density from Multiview-LiDAR Data

The spatial distribution of Leaf Area Density (LAD) in a tree canopy has fundamental functions in ecosystems.It can be measured through a variety of methods, including voxel-based methods applied to LiDAR point clouds.A theoretical study recently compared the numerical errors of these methods and showed that the bias-corrected Maximum Likelihood Es

read more