YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series
R Sapkota, R Qureshi, MF Calero, C Badjugar… - arXiv preprint arXiv …, 2024 - arxiv.org
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
[HTML][HTML] A cross-comparison of different extreme value modeling techniques for traffic conflict-based crash risk estimation
D Niu, T Sayed, C Fu, F Mannering - Analytic Methods in Accident …, 2024 - Elsevier
Abstract Extreme Value Theory (EVT) models have recently gained increasing popularity for
crash risk estimation using traffic conflict data. Extreme value modeling consists of two …
crash risk estimation using traffic conflict data. Extreme value modeling consists of two …
Pedestrian crash risk analysis using extreme value models: new insights and evidence
Facilitating proactive pedestrian safety management, the application of extreme value theory
(EVT) models has gained popularity due to its extrapolation capabilities of estimating …
(EVT) models has gained popularity due to its extrapolation capabilities of estimating …
Bayesian hybrid gamma-GPD model for extreme traffic conflict threshold determination in the peak over threshold approach
Extreme value theory (EVT) models have been frequently utilized to estimate crash risk from
traffic conflicts with the peak over threshold commonly used to identify conflict extremes …
traffic conflicts with the peak over threshold commonly used to identify conflict extremes …
Modeling the risk of single-vehicle run-off-road crashes on horizontal curves using connected vehicle data
Crash risk measures (CRMs) are widely used in safety analysis to complement crash
reports. However, none of the existing CRMs are specifically developed for modeling the risk …
reports. However, none of the existing CRMs are specifically developed for modeling the risk …
Investigation of a surrogate measure-based safety index for predicting injury crashes at signalized intersections
M Hasanpour, B Persaud, R Mansell… - Traffic Injury …, 2024 - Taylor & Francis
Objectives The paper develops a machine learning-based safety index for classifying traffic
conflicts that can be used to estimate the frequency of signalized intersection crashes, with a …
conflicts that can be used to estimate the frequency of signalized intersection crashes, with a …
Estimating Conditional Value at Risk in Non-Cyclical Sector Companies Using the Extreme Value Theory Approach
AM Hakam, AK Jaya - Jurnal Matematika, Statistika dan …, 2024 - journal-old.unhas.ac.id
Abstract Conditional Value at Risk (CVaR) is an estimate of the risk of loss that exceeds the
Value at Risk (VaR) level. VaR is one of the most commonly used stock risk measurement …
Value at Risk (VaR) level. VaR is one of the most commonly used stock risk measurement …
Ai and Employee Well-Being in the Workplace: An Empirical Study
Incorporating artificial intelligence (AI) in workplace settings affects the way employees work,
potentially influencing their well-being, given the required changes in accommodating the …
potentially influencing their well-being, given the required changes in accommodating the …