Results 131 to 140 of about 167,650 (307)
LIVESTOCK BASIS FORECASTS: HOW BENEFICIAL IS THE INCLUSION OF CURRENT INFORMATION?
Successful risk management strategies for agribusiness firms are contingent on the ability to accurately forecast basis. There has been substantial research on the actual use of basis forecasts, yet little research has been conducted on actually ...
Dhuyvetter, Kevin C. +2 more
core
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Advanced Science, EarlyView.Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue +6 more
wiley +1 more source
PREDICTIVE ANALYTIC MODEL FOR ELECTRICAL CHILLER SYSTEM (ECC)
Platform, a Journal of Engineering, 2020 District cooling plant is a very complex system consisting of various equipment. One of them is an electric centrifugal chiller that is widely used in the industry to supply chilled water to thermal energy storage (TES).
Muhammad Nazmi Mok Hat, Masdi Muhammad
doaj
Lost in Translation? Risk‐Adjusting RMSE for Economic Forecast Performance
Journal of ForecastingABSTRACT When used for parameter optimization and/or model selection, traditional mean squared error (MSE)–based measures of forecast accuracy often exhibit a weak or even negative correlation with the economic value of return forecasts measured by, for example, the Sharpe ratios of the resulting portfolios.
Lukas Salcher +2 more
openaire +1 more source
Advanced Science, EarlyView.Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu +3 more
wiley +1 more source
Indonesian Crude Oil Price (ICP) Prediction Using Support Vector Regression Algorithm
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Indonesian crude oil prices (ICP) experience fluctuating movements, influenced by several factors and other conditions that make ICP prices difficult to predict. ICP price prediction can be done with the Support Vector Regression (SVR) method.
Des Suryani, Mutia Fadhila
doaj +1 more source
Comparison between RMSE indexes derived from HP and QT series.
, 2014 RMSE mean (plus standard deviation) assessed at short time scale (i.e. τ = 1), RMSEτ = 1 (a,d,g), at medium time scales (i.e. τ = 2–4), RMSEτ = 2–4 (b,e,h), and at long time scales (i.e. τ = 5–12), RMSEτ = 5–12, (c,f,i) is shown as a function of the time
Giulia Girardengo (547642) +12 more
core +1 more source
Advanced Science, EarlyView.ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source
Advanced Science, EarlyView.This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source