Results 161 to 170 of about 41,144 (258)

Deep latent force models: ODE-based process convolutions for Bayesian deep learning. [PDF]

Mach Learn
Baldwin-McDonald T, Shi X, Shen M, Álvarez MA.   +3 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

Hybrid Bayesian deep learning model for predicting urban heat island intensity in African cities. [PDF]

Sci Rep
Lynda D, Logeswari G, Tamilarasi K, Rakesh S.   +3 more
europepmc   +1 more source

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

Agribusiness, EarlyView.
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever, Marius Michels, Oliver Musshoff   +2 more
wiley   +1 more source

Cutting-edge bayesian deep learning and statistical strategies for bias mitigation in COVID-19 detection via chest x-ray imaging. [PDF]

Sci Rep
Chen Y, Khan W, Ali F, Afsar H, Ejaz M, Alshamrani A, Kamal S.   +6 more
europepmc   +1 more source

Blockchain‐Based Smart Contracts in US Specialty Crop Marketing: Grower Preferences and Adoption Potential

Agribusiness, EarlyView.
ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales, Alba J. Collart, Matthew G. Interis, Esther Mmenaa Agyemang‐Duah   +3 more
wiley   +1 more source

Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification. [PDF]

Heliyon
Hassan MM, Ismail HR.
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Towards global reaction feasibility and robustness prediction with high throughput data and bayesian deep learning. [PDF]

Nat Commun
Zhong H, Liu Y, Sun H, Liu Y, Zhang R, Li B, Yang Y, Huang Y, Yang F, Mak FS, Foo K, Lin S, Yu T, Wang P, Wang X.   +14 more
europepmc   +1 more source

Analyzing the European countries' SARS-CoV-2 policies via Bayesian deep learning and statistical inference

, 2023
Khalili H, Wimmer MA, Lotzmann U.
europepmc   +1 more source