Results 21 to 30 of about 3,292,975 (323)

ProbCD: enrichment analysis accounting for categorization uncertainty [PDF]

, 2007
As in many other areas of science, systems biology makes extensive use of statistical association and significance estimates in contingency tables, a type of categorical data analysis known in this field as enrichment (also over-representation or ...
A Lewin, A Vinayagam, B Engelhardt, C Andersson, C Jones, D Martin, E Levy, I Rivals, Ilya Shmulevich, J Goeman, L Goodman, M Aubry, P Shannon, R Fisher, R Sealfon, R Vencio, Ricardo ZN Vêncio, S Carroll, S Maere, T Joshi, W Zhang, W Zhang, Z Jiang   +22 more
core   +5 more sources

Assessment of flood damages and benefits of remedial actions: "What are the weak links?"; with application to the Loire [PDF]

, 1995
Flood damage models are used to determine the impact of measures to reduce damage due to river flooding. Such models are characterized by uncertainty. This uncertainty may affect the decisions made on the basis of the model outcomes.
Blois, C.J. de, Wind, H.G.
core   +2 more sources

Wind tunnel calibration, corrections and experimental validation for fixed-wing micro air vehicles measurements

Aviation, 2020
The increase in the number of Unmanned Aerial Vehicles (UAVs) and Micro Air Vehicles (MAVs), which are used in a variety of applications has led to a surge in low Reynolds number aerodynamics research.
Ahmed Aboelezz, Yunes Elqudsi, Mostafa Hassanalian, Ahmed Desoki   +3 more
doaj   +1 more source

Nuclear Data Sensitivity Study for the EBR-II Fast Reactor Benchmark Using SCALE with ENDF/B-VII.1 and ENDF/B-VIII.0

Journal of Nuclear Engineering, 2021
The EBR-II benchmark, which was recently included in the International Handbook of Evaluated Reactor Physics Benchmark Experiments, served as a basis for assessing the performance of the SCALE code system for fast reactor analyses.
Friederike Bostelmann, Germina Ilas, William A. Wieselquist   +2 more
doaj   +1 more source

Evaluation of touch trigger probe measurement uncertainty using FEA [PDF]

, 2006
Evaluation of measurement uncertainty is an essential subject in dimensional measurement. It has also become a dominant issue in coordinate measuring machine (CMM) even though its machine performance has been well accepted by many users.
Jones, BE, Salleh, MR, Yang, QP
core   +1 more source

Uncertainty analysis onto models and emission scenarios of climate change for projection of the temperature, precipitation, and evapotranspiration in the Neyshabour area [PDF]

مخاطرات محیط طبیعی, 2018
Climate change is not only caused the rise in temperature but also changes in the global precipitation cycle, which leads to variation in spatial and temporal precipitation patterns. In this study, climate change impacts were investigated on temperature,
Mostafa Yaghoobzadeh, Mehdi Amirabadizadeh, Hesam Seyyed Kaboli   +2 more
doaj   +1 more source

Uncertainty Analysis and Design of Air Suspension Systems for City Buses Based on Neural Network Model and True Probability Density

Machines, 2023
The accuracy of uncertainty analysis in suspension systems is closely tied to the precision of the probability distribution of sprung mass. Consequently, traditional assumptions regarding the probability distribution fail to guarantee the accuracy of ...
Cheng Li, Yuan Jing, Jinting Ni
doaj   +1 more source

A New Model Uncertainty Measure of Wave-Induced Motions and Loads on a Container Ship with Forward Speed

Journal of Marine Science and Engineering, 2023
A new uncertainty quantifier is presented for linear transfer functions of wave-induced ship motions and loads obtained by various seakeeping codes. The numerical simulations are conducted for the high-speed Flokstra container ship in regular waves at ...
Hossam S. Abdelwahab, Shan Wang, Josko Parunov, C. Guedes Soares   +3 more
doaj   +1 more source

Complementarity and uncertainty in Mach-Zehnder interferometry and beyond [PDF]

, 2006
A coherent account of the connections and contrasts between the principles of complementarity and uncertainty is developed starting from a survey of the various formalizations of these principles.
Busch, Paul, Shilladay, Christopher
core   +4 more sources

Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine

Frontiers in Psychiatry
IntroductionThe COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries.
Lorena Cecilia López Steinmetz, Lorena Cecilia López Steinmetz, Margarita Sison, Rustam Zhumagambetov, Juan Carlos Godoy, Stefan Haufe, Stefan Haufe, Stefan Haufe, Stefan Haufe   +8 more
doaj   +1 more source