Results 91 to 100 of about 159,702 (261)
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Assessing the failure of urban gas pipelines is crucial for identifying risk factors and preventing gas accidents that result in economic losses and casualties.
Shuangqing Chen +6 more
doaj +1 more source
Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley +1 more source
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
Design of a 2D/3D Positioning System and Its Real-Time Application With Low-Cost Sensors
In this article, we introduce a positioning system developed for two- and three-dimensional motion tracking. The system is based on a recursive Bayesian estimator with a dynamic naive Bayesian classifier map matching scheme.
Serkan Zobar +5 more
doaj +1 more source
ABSTRACT Vending is an important sector in the daily lives of many people, and coffee is the most frequently consumed product in the European market. Like many other sectors, vending is responding to the challenge of sustainable development by taking various actions, such as offering increasingly ecologically sound coffee while maintaining/improving ...
Alberto Bertossi +2 more
wiley +1 more source
This paper applies Bayesian inference with normal–normal conjugate to forecast renewable energy generation. The generation forecasts a probability distribution rather than a quantitative value.
Yu-Jen Lin
doaj +1 more source
Predicting the Incident Cases of Emerging Infectious Disease Using a Bayesian Probability Model - China, February 2020. [PDF]
Zhang Y +9 more
europepmc +1 more source
Import Wheat Tenders and the Effects of the Russian Invasion
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 +2 more
wiley +1 more source
U.S. Consumer Preferences for Cage‐Free Eggs and Hen Housing Policies
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

