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Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow...
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Alexander Robitzsch
Item response theory (IRT) models are frequently used to analyze multivariate categorical data from questionnaires or cognitive test data. In order to reduce the model complexity in item response models, regularized estimation is now widely applied, addi...
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Abdullah Gokhan Yilmaz, Monzur Alam Imteaz, Abdallah Shanableh, Rami Al-Ruzouq, Serter Atabay and Khaled Haddad
A design flood is an essential input for water infrastructure design and flood protection. A flood frequency analysis has been traditionally performed under stationarity assumption indicating that the statistical properties of historical flooding will no...
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Hai Nguyen Tran
Initial periods of adsorption kinetics play an important role in estimating the initial adsorption rate and rate constant of an adsorption process. Several adsorption processes rapidly occur, and the experimental data of adsorption kinetics under the ini...
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Anne-Françoise Obaton, Jacques Fain, Dietmar Meinel, Athanasios Tsamos, Fabien Léonard, Benoît Lécuelle and Madjid Djemaï
The osseointegration in/around additively manufactured (AM) lattice structures of a new titanium alloy, Ti?19Nb?14Zr, was evaluated. Different lattices with increasingly high sidewalls gradually closing them were manufactured and implanted in sheep. Afte...
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Binita Ghimire, Gehendra Kharel, Esayas Gebremichael and Linyin Cheng
Extreme precipitation has become more frequent and intense with time and space. Infrastructure design tools such as Intensity-Duration-Frequency (IDF) curves still rely on historical precipitation and stationary assumptions, risking current and future ur...
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Mustafa A. Alawsi, Salah L. Zubaidi, Nabeel Saleem Saad Al-Bdairi, Nadhir Al-Ansari and Khalid Hashim
Drought is a prolonged period of low precipitation that negatively impacts agriculture, animals, and people. Over the last decades, gradual changes in drought indices have been observed. Therefore, understanding and forecasting drought is essential to av...
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Ryo Inoue and Koichiro Den
Geospatial phenomena often have spatial heterogeneity, which is caused by differences in the data generation process from place to place. There are two types of spatial heterogeneity: continuous and discrete, and there has been much discussion about how ...
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Mousumi Bala, Mohammad Hanif Ali, Md. Shahriare Satu, Khondokar Fida Hasan and Mohammad Ali Moni
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that severely impairs an individual?s cognitive, linguistic, object recognition, communication, and social abilities. This situation is not treatable, although early detection of ASD can ass...
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Dung David Chuwang and Weiya Chen
Forecasting daily and weekly passenger demand is a key fundamental process used by existing urban rail transit (URT) station authorities to diagnose operational problems and make decisions about train schedule patterns to improve operational efficiency, ...
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