Results 11 to 20 of about 967,069 (289)
AlphaFold2 and CryoEM: Revisiting CryoEM modeling in near-atomic resolution density maps
iScience, 2022 Summary: With the advent of new artificial intelligence and machine learning algorithms, predictive modeling can, in some cases, produce structures on par with experimental methods.
Corey F. Hryc, Matthew L. Baker
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Predictive Modeling of Cholera Outbreaks in Bangladesh [PDF]
, 2015 Despite seasonal cholera outbreaks in Bangladesh, little is known about the relationship between environmental conditions and cholera cases. We seek to develop a predictive model for cholera outbreaks in Bangladesh based on environmental predictors.
Halloran, M. Elizabeth +4 more
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Continual Sequence Modeling With Predictive Coding
Frontiers in Neurorobotics, 2022 Recurrent neural networks (RNNs) have been proved very successful at modeling sequential data such as language or motions. However, these successes rely on the use of the backpropagation through time (BPTT) algorithm, batch training, and the hypothesis ...
Louis Annabi +3 more
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Active Learning of Gaussian Processes for Spatial Functions in Mobile Sensor Networks [PDF]
, 2011 This paper proposes a spatial function modeling approach using mobile sensor networks, which potentially can be used for environmental surveillance applications. The mobile sensor nodes are able to sample the point observations of an 2D spatial function.
Choi +17 more
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Predictive Modeling of Hawiza Marsh Eutrophication [PDF]
Engineering and Technology Journal, 2009 The term "eutrophic" refers to system rich in nutrients, and hence Eutrophicationmeans nutrient enrichment, particularly by increasing levels of nitrogen andphosphorus [1].
Ali K. Shayyish
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Journal of the Royal Statistical Society Series B: Statistical Methodology, 1995 SUMMARY We consider the problem of selecting one model from a large class of plausible models. A predictive Bayesian viewpoint is advocated to avoid the specification of prior probabilities for the candidate models and the detailed interpretation of the parameters in each model.
Laud, Purushottam W., Ibrahim, Joseph G.
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Predictive modeling of gene expression regulation
BMC Bioinformatics, 2021 Background In-depth analysis of regulation networks of genes aberrantly expressed in cancer is essential for better understanding tumors and identifying key genes that could be therapeutically targeted.
Chiara Regondi +6 more
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Connectome-Based Predictive Modeling of Creativity Anxiety
NeuroImage, 2021 While a recent upsurge in the application of neuroimaging methods to creative cognition has yielded encouraging progress toward understanding the neural underpinnings of creativity, the neural basis of barriers to creativity are as yet unexplored.
Zhiting Ren +10 more
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Nature Communications, 2019 Chromatin is folded into Topologically Associating domains (TADs), with the organization and folding hierarchy of the TADs being highly dynamic. Here the authors develop a parsimonious randomly cross-linked (RCL) polymer model that maps high frequency ...
O. Shukron +3 more
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Data-driven predictive modeling of FeCrAl oxidation
Materials Letters: X, 2023 FeCrAl alloys are among the most promising candidates for accident-tolerant fuel cladding material in light water nuclear reactors. Despite their high-temperature oxidation resistance in corrosive environments coupled with their hydrothermal corrosion ...
Indranil Roy +9 more
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