Results 91 to 100 of about 348,082 (329)
Uniqueness of the Level Two Bayesian Network Representing a Probability Distribution
Bayesian Networks are graphic probabilistic models through which we can acquire, capitalize on, and exploit knowledge. they are becoming an important tool for research and applications in artificial intelligence and many other fields in the last decade ...
Linda Smail
doaj +1 more source
The Value of Device Characterization for the Optimization of Organic Solar Cells
Using the example of organic photovoltaics (OPV), this study examines whether and when additional measurements can be helpful in process optimization. A virtual laboratory based on real solar cells serves as a benchmark function to compare two different approaches for process optimization, namely black‐box optimization (black circle) and model‐based ...
Leonard Christen+4 more
wiley +1 more source
As one of the most common types of graphical models, the Bayesian classifier has become an extremely popular approach to dealing with uncertainty and complexity.
Limin Wang, Haoyu Zhao
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Abstract Extreme weather events are worsening the fragile rural infrastructure in the United States, impacting trade flows of agricultural products. The Mississippi River, vital for transporting agricultural commodities, reached historic lows during the 2022 and 2023 fall harvests, increasing transportation costs and lowering crop prices.
James L. Mitchell, Hunter D. Biram
wiley +1 more source
We introduce a computer algorithm that incorporates the experience of battery researchers to extract information from experimental data reproducibly. This enables the fitting of complex models that take up to a few minutes to simulate. For validation, we process full‐cell GITT measurements to characterize the diffusivities of both electrodes non ...
Yannick Kuhn+3 more
wiley +1 more source
Mexican consumers' attitudes toward irradiated and imported apples
Abstract This study centers on analyzing Mexican consumers' willingness to pay (WTP) for imported US fresh apples subjected to irradiation, contrasting it with the more prevalent postharvest chemical treatments. We collect data using a survey tool in Qualtrics designed to explore the impact of information dissemination through two distinct narrative ...
André D. Murray+2 more
wiley +1 more source
Subjective confidence reflects representation of Bayesian probability in cortex. [PDF]
Geurts LS+3 more
europepmc +1 more source
Temperature Probabilities and the Bayesian No Data' Problem [PDF]
Weather constitutes an exogenous factor in agriculture which may have considerable influence on production and marketing. For a particular commodity, weather may influence quantity produced, quality of the commodity marketed, and consequently influence prices received (or paid) by various firms associated with that commodity system.
openaire +3 more sources
Abstract Indoor agriculture (IA) presents a pathway to producing leafy greens more sustainably by strictly controlling the growing environment, increasing the efficiency of water and land resources use, reducing pesticide application, and enhancing quality characteristics.
Joseph Seong+3 more
wiley +1 more source
Ambiguity attitudes in qualitative contexts: The role of prior beliefs
Abstract Most studies of ambiguity aversion rely on experimental paradigms involving monetary bets. Thus, the extent to which ambiguity aversion occurs outside of such contexts is much less understood, particularly when the situation cannot easily be reduced to numerical terms.
Joshua P. White, Andrew Perfors
wiley +1 more source