Circulation, 2015 Background— Prediction models are developed to aid health care providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to ...
G. Collins +3 more
semanticscholar +1 more source
Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations [PDF]
Atmospheric Chemistry and Physics, 2018 Online coupled meteorology–chemistry models permit the description of the aerosol–radiation (ARI) and aerosol–cloud interactions (ACIs). The aim of this work is to assess the representation of several cloud properties in regional-scale coupled models ...
R. Baró +15 more
doaj +1 more source
Multi-step learning rule for recurrent neural models: an application to time series forecasting [PDF]
, 2001 Multi-step prediction is a difficult task that has attracted increasing interest in recent years. It tries to achieve predictions several steps ahead into the future starting from current information.
Galván, Inés M., Isasi, Pedro
core +2 more sources
Using Markov Chains for link prediction in adaptive web sites [PDF]
, 2002 The large number of Web pages on many Web sites has raised navigational problems. Markov chains have recently been used to model user navigational behavior on the World Wide Web (WWW).
J. Nielsen +6 more
core +1 more source
A Simulation Model for Building Occupancy Prediction
Tema, 2015 At present, few computational methods exist that support architect in predicting how their design will be used and experience after its construction.
Davide Simeone +3 more
doaj +1 more source
A novel improved model for building energy consumption prediction based on model integration [PDF]
, 2020 Building energy consumption prediction plays an irreplaceable role in energy planning, management, and conservation. Constantly improving the performance of prediction models is the key to ensuring the efficient operation of energy systems.
Feng, W, Lu, S, Wang, R
core
Accurate structure prediction of biomolecular interactions with AlphaFold 3
NatureThe introduction of AlphaFold 21 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge range of applications in protein modelling and design2, 3, 4, 5–6.
Josh Abramson +47 more
semanticscholar +1 more source
Annals of Internal Medicine, 2019 Prediction models in health care aim to predict for an individual whether a particular outcome, such as disease, is present (diagnostic models) or whether it will occur in the future (prognostic models) (16).
K. Moons +8 more
semanticscholar +1 more source
An evaluation of atmospheric absorption models at millimetre and sub-millimetre wavelengths using airborne observations [PDF]
Atmospheric Measurement TechniquesAccurate gas absorption models at millimetre and sub-millimetre wavelengths are required to make best use of observations from instruments on board the next generation of EUMETSAT polar-orbiting weather satellites, including the Ice Cloud Imager (ICI ...
S. Fox +7 more
doaj +1 more source
The role of aerosol–radiation–cloud interactions in linking anthropogenic pollution over southern west Africa and dust emission over the Sahara [PDF]
Atmospheric Chemistry and Physics, 2019 The aerosol direct and indirect effects are studied over west Africa in the summer of 2016 using the coupled WRF-CHIMERE regional model including aerosol–cloud interaction parameterization.
L. Menut +6 more
doaj +1 more source