Results 31 to 40 of about 36,414,097 (422)
Dynamic Bayesian networks (DBNs) represent complex time-dependent causal relationships through the use of conditional probabilities and directed acyclic graph models.
Austin D. Lewis, Katrina M. Groth
doaj +1 more source
Objective To determine the clinical manifestations, risk factors, and maternal and perinatal outcomes in pregnant and recently pregnant women with suspected or confirmed coronavirus disease 2019 (covid-19).
J. Allotey+29 more
semanticscholar +1 more source
Adaptive sampling method to monitor low-risk pathways with limited surveillance resources [PDF]
The rise of globalisation has led to a sharp increase in international trade, with high volumes of containers, goods and items moving across the world. Unfortunately, these trade pathways also facilitate the movement of unwanted pests, weeds, diseases, and pathogens.
arxiv +1 more source
Using street view imagery for 3-D survey of rock slope failures [PDF]
We discuss here different challenges and limitations of surveying rock slope failures using 3-D reconstruction from image sets acquired from street view imagery (SVI).
J. Voumard+9 more
doaj +1 more source
Assessment of Lung Cancer Risk on the Basis of a Biomarker Panel of Circulating Proteins [PDF]
IMPORTANCE There is an urgent need to improve lung cancer risk assessment because current screening criteria miss a large proportion of cases. OBJECTIVE To investigate whether a lung cancer risk prediction model based on a panel of selected circulating ...
Agudo, Antonio+1 more
core +1 more source
Optimal heavy tail estimation – Part 1: Order selection [PDF]
The tail probability, P, of the distribution of a variable is important for risk analysis of extremes. Many variables in complex geophysical systems show heavy tails, where P decreases with the value, x, of a variable as a power law with a ...
M. Mudelsee, M. Mudelsee, M. A. Bermejo
doaj +1 more source
Analyzing and Calibrating Risk Assessment by Software Developers [PDF]
In software project management, risk management is a critical factor. Project managers use existing lists of risk or perform brainstorming to identify the risks. However, it is not easy to perceive all the risks objectively. As a result, some risks are perceived based on subjective impression, which leads to risk biases.
arxiv
Adversarial risk analysis: An overview [PDF]
AbstractAdversarial risk analysis (ARA) is a relatively new area of research that informs decision‐making when facing intelligent opponents and uncertain outcomes. It is a decision‐theoretic alternative to game theory. ARA enables an analyst to express her Bayesian beliefs about an opponent's utilities, capabilities, probabilities, and the type of ...
David Banks+4 more
openaire +5 more sources
Risk analysis for RoPax vessels [PDF]
The paper presents the results of a recent risk analysis study for RoPax vessels, carried out as part of the activities of the SAFEDOR Integrated Project.
Konovessis, Dimitris+2 more
core +1 more source
“Use of 3D Point Clouds in Geohazards” Special Issue: Current Challenges and Future Trends
The fast proliferation of new satellite, aerial and terrestrial remote sensing techniques has undoubtedly provided new technological and scientific opportunities to society during the last few decades. [...]
Antonio Abellan+2 more
doaj +1 more source