Results 201 to 210 of about 78,967 (252)

Fault‐Specific Diagnostic Regions Based on Normalized DC Voltage and Current Indices for Photovoltaic Systems Using Routine Inverter and Environmental Data

open access: yesEnergy Science &Engineering, EarlyView.
This study proposes a fault diagnostic approach for photovoltaic systems using normalized DC voltage and current indices derived from routinely collected inverter and environmental data. The approach enables string‐ and array‐level fault diagnosis without additional measurement equipment and supports operation and maintenance decision‐making.
Woo Gyun Shin   +5 more
wiley   +1 more source

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

open access: yesFood Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang   +3 more
wiley   +1 more source

Correction to: Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs. [PDF]

open access: yesAbdom Radiol (NY)
Bejar AM   +29 more
europepmc   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

Climate Risks and the Risk Premia of AI Stocks: Some Forecasting Experiments

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This study examines whether physical and transition climate‐risk measures predict the risk premia of AI‐related stocks, and whether incorporating these risks improves forecast performance relative to benchmark models. The findings suggest that global transition climate shocks lower the premia of AI stocks, while US climate policy increases ...
Afees A. Salisu, Abeeb O. Olaniran
wiley   +1 more source

Near-real-time interactive N-body model of the left atrium for exploratory arrhythmia induction and ablation simulation. [PDF]

open access: yesHeart Rhythm O2
Wyatt B   +8 more
europepmc   +1 more source

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