Results 81 to 90 of about 13,578 (255)

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Development of a Zebrafish Embryo‐Based Test System for Thyroid Hormone System Disruption: 3Rs in Ecotoxicological Research

Environmental Toxicology and Chemistry, EarlyView.
Abstract There is increasing concern regarding pollutants disrupting the vertebrate thyroid hormone (TH) system, which is crucial for development. Thus, identification of TH system–disrupting chemicals (THSDCs) is an important requirement in the Organisation for Economic Co‐operation and Development (OECD) testing framework.
Lisa Gölz, Melanie Blanc‐Legendre, Maximilian Rinderknecht, Laura Behnstedt, Sara Coordes, Luisa Reger, Sacha Sire, Xavier Cousin, Thomas Braunbeck, Lisa Baumann   +9 more
wiley   +1 more source

A Grey wolf optimizer combined with Artificial fish swarm algorithm for engineering design problems

Ain Shams Engineering Journal
For the problems of Grey wolf optimizer (GWO) easy to fall into local optimum and lack of population diversity, this thesis raises a Grey wolf optimizer combined with an Artificial fish swarm algorithm (AFGWO).
Hongzhi Zhang, Yong Zhang, Yixing Niu, Kai He, Yukun Wang   +4 more
doaj   +1 more source

Lost in Translation? Risk‐Adjusting RMSE for Economic Forecast Performance

Journal of Forecasting, EarlyView.
ABSTRACT 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, Sebastian Stöckl, Michael Hanke   +2 more
wiley   +1 more source

Lung Segmentation from Chest X-rays using Variational Data Imputation

, 2020
Pulmonary opacification is the inflammation in the lungs caused by many respiratory ailments, including the novel corona virus disease 2019 (COVID-19).
Dam, Erik B., Detlefsen, Nicki S., Nielsen, Mads, Pai, Akshay, Rischel, Sofus, Selvan, Raghavendra, Sheng, Kaining   +6 more
core  

Nature‐Based and Community‐Level Responses to Climate Distress in Young People: A Systematic Review

Journal of Adolescence, EarlyView.
ABSTRACT Introduction Climate change is both an environmental crisis and a growing source of psychological distress for young people, calling for responses that nurture emotional resilience and collective engagement. The emerging response to climate distress has mainly focused on formal psychological and individual‐level interventions.
Meghana Bhupati, Nita Alexander, Yael Perry, Jack Farrugia   +3 more
wiley   +1 more source

Image Denoising with Modified Grey Wolf Optimizer

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2018
In this study, image denoising hasbeen realized with with the one of the recent Nature-Inspired optimizationalgorithms, Grey Wolf Optimizer(GWO). GWO is one of the recent most studiedcontinous optimization algorithm which performs better than the ...
Pakize Erdoğmuş, Hüseyin Avni Ardaç
doaj   +1 more source

Experimental Modal Analysis‐Driven Gaussian Process Regression Modeling of Rectangular Steel Beams With Various Hole Geometries

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee, Majid Rajaei, Mohammad Hossein Mahdavi Nasab, Parsa Shafiei   +3 more
wiley   +1 more source

Hybrid grey wolf and whale optimization for enhanced Parkinson's prediction based on machine learning models using biomedical sound

Informatics in Medicine Unlocked
Background: Biomedical voice measurements have been used by many physicians and scientists to distinguish Parkinson's patients from ordinary people. Measurements of biomedical voices involve many variables calculated from signal analysis of the voice ...
Hazem Al-Najjar, Nadia Al-Rousan, Dana Al-Najjar   +2 more
doaj   +1 more source

Modified Grey Wolf Optimizer with Parasitism Phase

Havacılık ve Uzay Teknolojileri Dergisi, 2021
Grey Wolf Optimizer (GWO) is a popular and effective nature-inspired, swarm intelligence based metaheuristic optimization algorithm which imitates the hunting process of a wolf pack in the nature.
Ali Nadi ÜNAL, Funda SEÇKİN
doaj