Results 121 to 130 of about 199,039 (272)

Author Correction: Bayesian deep learning for error estimation in the analysis of anomalous diffusion. [PDF]

Nat Commun, 2023
Seckler H, Metzler R.
europepmc   +1 more source

Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing

Advanced Energy and Sustainability Research, EarlyView.
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang, Yuzhu Yuan, Javed Alam, Guangpeng Zhang, José V. Anguita, Zijian Wang, Kai Yang   +6 more
wiley   +1 more source

Farmers' Financial Literacy—Scale Development and Linkages to Accounting Practices and Financial Outcomes

Agribusiness, EarlyView.
ABSTRACT This study investigates the financial literacy (FL) of Swedish farmers, its linkages to farmer characteristics, management accounting practices and farm outcomes by surveying Swedish Farm Accountancy Data Network farmers. Using item response theory, we expand the existing FL measurement specifically to the farming context, assess measurement ...
Uliana Gottlieb, Helena Hansson
wiley   +1 more source

Predictive maintenance with Bayesian deep learning

, 2021
We assess the usability of Bayesian deep learning methods for remaining useful life estimation. To compare Bayesian models to standard deep learning models, we propose a model evaluation method based on simulated device maintenance. We find that Bayesian models outperform their architecturally equivalent deep learning models on synthetic data as well ...
openaire   +1 more source

Temperature Optimization for Bayesian Deep Learning

11 pages (+5 reference, +17 appendix).
Ng, Kenyon, van der Heide, Chris, Hodgkinson, Liam, Wei, Susan   +3 more
openaire   +2 more sources

Import Wheat Tenders and the Effects of the Russian Invasion

Agribusiness, EarlyView.
ABSTRACT Risk and volatility for many commodities escalated sharply following the Russian invasion of Ukraine, creating numerous uncertainties for trading firms and importers. The purpose of this study is to analyze the bidding behavior in Egyptian wheat import tenders in the pre‐ and post‐invasion periods.
William W. Wilson, Sumadhur Shakya, Isaac Dubovoy   +2 more
wiley   +1 more source

Evaluation of deep learning for predicting rice traits using structural and single-nucleotide genomic variants

Plant Methods
Background Structural genomic variants (SVs) are prevalent in plant genomes and have played an important role in evolution and domestication, as they constitute a significant source of genomic and phenotypic variability.
Ioanna-Theoni Vourlaki, Sebastián E. Ramos-Onsins, Miguel Pérez-Enciso, Raúl Castanera   +3 more
doaj   +1 more source

Probabilistic Bayesian Deep Learning Approach for Online Forecasting of Fed-Batch Fermentation. [PDF]

ACS Omega, 2023
Wang T, You J, Gong X, Yang S, Wang L, Chang Z.   +5 more
europepmc   +1 more source

Practical Deep Learning with Bayesian Principles

, 2019
Bayesian methods promise to fix many shortcomings of deep learning, but they are impractical and rarely match the performance of standard methods, let alone improve them. In this paper, we demonstrate practical training of deep networks with natural-gradient variational inference.
Osawa, Kazuki, Swaroop, Siddharth, Jain, Anirudh, Eschenhagen, Runa, Turner, Richard E., Yokota, Rio, Khan, Mohammad Emtiyaz   +6 more
openaire   +2 more sources

Who Are the Farmers Participating in a Carbon Sequestration Program? Results of a Discrete Choice Experiment in Germany

Agribusiness, EarlyView.
ABSTRACT Agricultural soils offer great potential for carbon sequestration through humus formation. One way to motivate farmers to build up humus is through humus programs. These are still at an early stage of development, poorly explored, and the number of participating farmers is low. Our aim is to explain the heterogeneity of farmers' willingness to
Julia B. Block, Michael Danne, Oliver Mußhoff   +2 more
wiley   +1 more source