Results 131 to 140 of about 201,968 (266)

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

Nat Commun, 2022
Seckler H, Metzler R.
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

π VAE: a stochastic process prior for Bayesian deep learning with MCMC. [PDF]

Stat Comput, 2022
Mishra S, Flaxman S, Berah T, Zhu H, Pakkanen M, Bhatt S.   +5 more
europepmc   +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

Bayesian deep learning outperforms clinical trial estimators of intracerebral and intraventricular hemorrhage volume. [PDF]

J Neuroimaging, 2022
Sharrock MF, Mould WA, Hildreth M, Ryu EP, Walborn N, Awad IA, Hanley DF, Muschelli J.   +7 more
europepmc   +1 more source

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

A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm

Scientific Reports
We constructed an early prediction model for postoperative pulmonary complications after thoracoscopic surgery using machine learning and deep learning algorithms.
Cheng-Mao Zhou, Qiong Xue, HuiJuan Li, Jian-Jun Yang, Yu Zhu   +4 more
doaj   +1 more source

Bayesian deep learning for reliable oral cancer image classification. [PDF]

Biomed Opt Express, 2021
Song B, Sunny S, Li S, Gurushanth K, Mendonca P, Mukhia N, Patrick S, Gurudath S, Raghavan S, Tsusennaro I, Leivon ST, Kolur T, Shetty V, Bushan VR, Ramesh R, Peterson T, Pillai V, Wilder-Smith P, Sigamani A, Suresh A, Kuriakose MA, Birur P, Liang R.   +22 more
europepmc   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Anomaly detection in chest ¹⁸F-FDG PET/CT by Bayesian deep learning. [PDF]

Jpn J Radiol, 2022
Nakao T, Hanaoka S, Nomura Y, Hayashi N, Abe O.   +4 more
europepmc   +1 more source