Use of predictive algorithms in-home monitoring of chronic obstructive pulmonary disease and asthma: a systematic review

D Sanchez-Morillo… - Chronic respiratory …, 2016 - journals.sagepub.com
Major reported factors associated with the limited effectiveness of home telemonitoring
interventions in chronic respiratory conditions include the lack of useful early predictors …

Bayesian network modeling of accident investigation reports for aviation safety assessment

X Zhang, S Mahadevan - Reliability Engineering & System Safety, 2021 - Elsevier
Safety assurance is of paramount importance in the air transportation system. In this paper,
we analyze the historical passenger airline accidents that happened from 1982 to 2006 as …

[HTML][HTML] An object-oriented Bayesian network model for the quantitative risk assessment of navigational accidents in ice-covered Arctic waters

S Fu, Y Zhang, M Zhang, B Han, Z Wu - Reliability Engineering & System …, 2023 - Elsevier
Merchant ship operations in the ice-covered Arctic waters may encounter traditional
navigational accident risks (ie, grounding, collision, etc.) and risks from sea ice, such as ship …

Evidence-based managerial decision-making with machine learning: The case of Bayesian inference in aviation incidents

B Cankaya, K Topuz, D Delen, A Glassman - Omega, 2023 - Elsevier
Understanding the factors behind aviation incidents is essential, not only because of the
lethality of the accidents but also the incidents' direct and indirect economic impact. Even …

Identification of flight accidents causative factors base on SHELLO and improved entropy gray correlation method

N Chen, Y Sun, Z Wang, C Peng - Heliyon, 2023 - cell.com
In order to effectively identify the key causative factors of civil aviation flight accidents, and
establish a forward-looking effective prevention mechanism for flight accidents. Firstly …

[HTML][HTML] Towards an evidence-based probabilistic risk model for ship-grounding accidents

A Mazaheri, J Montewka, P Kujala - Safety Science, 2016 - Elsevier
Most of the risk models for ship-grounding accidents do not fully utilize available evidence,
since it is based on accident statistics and expert opinions. The major issue with such kinds …

[HTML][HTML] Bayesian network model of aviation safety: Impact of new communication technologies on mid-air collisions

A Bauranov, J Rakas - Reliability Engineering & System Safety, 2024 - Elsevier
This article presents a method of estimating the risk of a mid-air collision. The proposed
method is an enhancement of the traditional aviation safety model-Integrated Safety …

Prediction of severity of aviation landing accidents using support vector machine models

DV Silagyi II, D Liu - Accident Analysis & Prevention, 2023 - Elsevier
The purpose of this study was to apply support vector machine (SVM) models to predict the
severity of aircraft damage and the severity of personal injury during an aircraft approach …

Prediction of aircraft safety incidents using Bayesian inference and hierarchical structures

RMA Valdés, VFG Comendador, LP Sanz, AR Sanz - Safety science, 2018 - Elsevier
Today, aviation is immersed in a shift from old-fashioned reactive and compliance-based
safety approaches towards proactive and performance-based methods and tools …

[HTML][HTML] Quantifying civilian aircraft vulnerability: A data-driven approach in geo-political conflict zones for improved risk assessment of aircraft shot-down

S Bukhman, MP Brito, MC Sung - Journal of Air Transport Management, 2024 - Elsevier
Current risk analysis methods for quantifying the risk of the shooting down of commercial
aircraft rely on the use of risk matrices and risk categorisation classes. We show that these …