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Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting

Author(s): Ahmed U; Mahmood A; Khan AR; Kuhlmann L; Alimgeer KS; Razzaq S; Aziz I; Hammad A;

The transition to sustainable energy has become imperative due to the depletion of fossil fuels. Solar energy presents a viable alternative owing to its abundance and environmental benefits. However, the intermittent nature of solar energy requires accurate forecasting of solar irradiance (SI) for reliable operation of photovoltaics (PVs) integrated syste ...

Article GUID: 40185800


Examining Dimensionality and Item-Quality of the Eating Disorder Examination Questionnaire in Individuals With Eating Disorders Using Item Response Theory Analysis

Author(s): Dufour R; Steiger H; Booij L;

Objective: The Eating Disorder Examination Questionnaire (EDE-Q) is a widely-used measure of eating-disorder symptoms. However, inconsistent replication of the subscale structure raises concern about validity. To provide a rigorous test of the EDE-Q's dimensionality and item-quality, we applied modern and classical test theory approaches to data obtai ...

Article GUID: 39548958


Novelty detection in rover-based planetary surface images using autoencoders

Author(s): Stefanuk B; Skonieczny K;

In the domain of planetary science, novelty detection is gaining attention because of the operational opportunities it offers, including annotated data products and downlink prioritization. Using a variational autoencoder (VAE), this work improves upon state-of-the-art novelty detection performance in the context of Martian exploration by > 7 % (measured ...

Article GUID: 36313243


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