Results 181 to 190 of about 486,951 (294)

Who Are the Consumers of European Farmers' Markets? A Cross‐Country Analysis

open access: yesAgribusiness, EarlyView.
ABSTRACT With substantial growth in the number of farmers' markets (FMs) in developed countries, the number of consumers visiting FMs is also increasing. This study comparatively assesses the consumers of FMs in three European countries where FMs traditionally play a distinctive role in food supply chains.
Áron Török   +6 more
wiley   +1 more source

CerevianNet: parameter efficient multi-class brain tumor classification using custom lightweight CNN. [PDF]

open access: yesFront Med (Lausanne)
Jahan MK   +4 more
europepmc   +1 more source

U.S. Consumer Preferences for Cage‐Free Eggs and Hen Housing Policies

open access: yesAgribusiness, EarlyView.
ABSTRACT Farm animal welfare (FAW) continues to be a divisive issue in the egg industry. In the United States, 10 states and most major retailers have implemented policies or voluntary pledges to transition to 100% cage‐free egg sales. We use best‐worst scaling and discrete choice experiments to evaluate U.S.
Vincenzina Caputo   +3 more
wiley   +1 more source

Deep learning-based approach for differential diagnosis of odontogenic cysts from histopathological images. [PDF]

open access: yesMed Oral Patol Oral Cir Bucal
Torul D   +6 more
europepmc   +1 more source

Real‐time fault detection in multicomponent nuclear‐waste slurries through data fusion of spectroscopic sensors

open access: yesAIChE Journal, EarlyView.
Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse   +2 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki   +3 more
wiley   +1 more source

Precision cotton disease detection via transformer models applied to leaf imagery. [PDF]

open access: yesFront Artif Intell
Inamdar N   +5 more
europepmc   +1 more source

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