Results 51 to 60 of about 40,132 (204)
Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations
Quality and Reliability Engineering International, EarlyView.ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim +3 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT Sustainable development transforms production systems, requiring integrated environmental, social, and economic strategies. Energy systems are key agro‐industrial supply chains in developing countries. Brazil's soybean supply chain impacts Gross Domestic Product, mainly through exports.
Aline Veronese da Silva +3 more
wiley +1 more source
Bayes' theorem and quantum retrodiction
, 2000 We derive on the basis of Bayes' theorem a simple but general expression for the retrodicted premeasurement state associated with the result of any measurement.
Barnett, SM. +4 more
core +1 more source
Sustainable Development, EarlyView.ABSTRACT The assessment of energy efficiency in water facilities is receiving increasing attention as a key strategy in the transition toward an energy‐neutral urban water cycle. This study evaluates the energy efficiency of 146 drinking water treatment plants (DWTPs) in Chile by applying a latent class stochastic frontier analysis (LCSFA) to account ...
Alexandros Maziotis +1 more
wiley +1 more source
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Access to markets is critical for entrepreneurial success, yet many face significant barriers. This study argues that digital platforms functioning as peer‐to‐peer marketplaces can facilitate entrepreneurial activity by improving market access for new ventures.
Daehyun Kim, Yongwook Paik, Namil Kim
wiley +1 more source
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Topics in Cognitive Science, EarlyView., 2023 Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source
Decoding α‐MoC1−x Nanoparticle Formation in Continuous Flow via Machine Learning
Small, EarlyView.Formation pathway of α‐MoC1−x nanoparticles synthesized from oleylamine‐Mo(CO)6 precursor under mild continuous‐flow conditions was investigated. By combining in‐line spectroscopic monitoring with a machine learning (ML) framework capable of deconvoluting complex, overlapping spectral features, we reveal mechanistic details of early‐transition‐metal ...
Bin Pan +7 more
wiley +1 more source
Histological classification of Japanese IgA nephropathy with a small number of glomeruli using Bayes' theorem. [PDF]
Sci Rep, 2023 Nakata T +3 more
europepmc +1 more source
Forgoing Nuclear: Nuclear Power Plant Closures and Carbon Emissions in the United States
Southern Economic Journal, EarlyView.ABSTRACT This paper examines the effect of nuclear power plant decommissioning on electricity generation and carbon emissions in the United States. Using data on nuclear reactor closures in the United States between 1993 and 2022 and data on state‐level carbon emissions and electricity generation from the Energy Information Administration (EIA), this ...
Luke Petach
wiley +1 more source
Child Abuse, Misdiagnosed by an Expertise Center-Part II-Misuse of Bayes' Theorem. [PDF]
Children (Basel), 2023 van Gemert MJC +4 more
europepmc +1 more source