Basic Statistical Estimation Outperforms Machine Learning in Monthly Prediction of Seasonal Climatic Parameters

Machine learning (ML) has been utilized to predict climatic parameters, and many successes have been reported in the literature.In this paper, we scrutinize the effectiveness of five widely used ML algorithms in the monthly prediction of seasonal climatic parameters using monthly image data.Specifically, we quantify the predictive performance of th

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Utilizing XFEM model to predict the flexural strength of woven fabric Kenaf FRP plate strengthened on plain concrete beam

The evolution of advancing computing BMX Frames technology has encouraged the use of finite element analysis to require constitutive models, mostly adopted extensive experimental datasets.Nevertheless, fewer material properties are required within the bilinear traction-separation relationship incorporated with the XFEM technique and require fewer c

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Homelessness in the Suburbs: Engulfment in the Grotto of Poverty

This paper describes findings of a research inquiry into the lived experience of homelessness in Peel, a suburban region located in the Greater Toronto Area in Ontario, Canada.It is based on the data from a collaborative project undertaken by members of the Faculties of Wall Hook Health and Education of York University with two local community orga

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