Results 221 to 230 of about 4,242,048 (285)

Experimental Investigation and Artificial Intelligence-Based Modeling of Novel Biodiesel Fuels Containing Hybrid Nanoparticle Additives. [PDF]

Molecules
Uyar MM, Demirpolat AB, Çıtlak A.
europepmc   +1 more source

Reconfiguring Fresh Produce Supply Chains in Response to Drought Risk: Evidence From the U.S. Broccoli Market

Agribusiness, EarlyView.
ABSTRACT Drought is among the most severe and persistent threats to food supply chains, and relocating production to less drought‐prone regions offers a strategy to reduce this risk. This is particularly relevant for fresh vegetables, which are highly water‐intensive, yet drought‐driven reconfiguration strategies remain understudied.
Bingyan Dai, Miguel I. Gómez, Harry M. Kaiser   +2 more
wiley   +1 more source

Machine learning-driven optimization of performance and emissions in a butanol/diesel CI engine. [PDF]

Sci Rep
Siva Prasad K, Vijaybabu TR, Kiran Kumar G, Srinivasa Rao S, Raju VRK, Nagaraju S, Bhowmik A, Jemal A.   +7 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

Kinetic model-based prediction of fuel ignition quality using ignition delay times. [PDF]

Sci Rep
Zhou J, Wu G, Chen Y.
europepmc   +1 more source

Economic Impact of Sustainability in Wine Sector: A Systematic Literature Review

Agribusiness, EarlyView.
ABSTRACT Sustainability has become a key issue in the wine sector, raising questions about its compatibility with firms' economic performance. Despite growing attention to environmental and social practices, evidence on their economic implications remains fragmented.
Valentina Di Chiara, Eugenio Pomarici, Leonardo Cei   +2 more
wiley   +1 more source

Physically aligned forest fire risk prediction: A deep learning framework coupling fuel and climate multivariate factors. [PDF]

PLoS One
Chen B, Zeng A, Xie Y, Wang X, Zhu L, Xie Q, Long G.   +6 more
europepmc   +1 more source

Machine learning driven many‐objective moving horizon scheduling optimization

AIChE Journal, EarlyView.
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley   +1 more source

Demographic and emission drivers of household air pollution in biomass using communities. [PDF]

Sci Rep
Godasiaei SH, Ejohwomu OA, Oladokun M, Elghaish F.   +3 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source