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Frank Klawonn and Georg Hoffmann
Clustering algorithms are usually iterative procedures. In particular, when the clustering algorithm aims to optimise an objective function like in k-means clustering or Gaussian mixture models, iterative heuristics are required due to the high non-linea...
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José Francisco Lima, Fernanda Catarina Pereira, Arminda Manuela Gonçalves and Marco Costa
Linear models, seasonal autoregressive integrated moving average (SARIMA) models, and state-space models have been widely adopted to model and forecast economic data. While modeling using linear models and SARIMA models is well established in the literat...
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Flavia D. Frederick, Malvin S. Marlim and Doosun Kang
Chlorine decay over time and distance travelled poses challenges in maintaining consistent chlorine levels from treatment plants to demand nodes in water distribution networks (WDNs). Many studies have focused on optimizing chlorine booster systems and a...
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Rongliang Cheng, Xiaofeng Han and Zhiqiang Wu
It is of great significance to identify the spatiotemporal stress distribution characteristics to ensure the safety of a super-high arch dam during the initial operation stage. Taking the 285.5 m-high Xiluodu Dam as an example, the spatiotemporal distrib...
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Soojeong Lee, Gyanendra Prasad Joshi, Anish Prasad Shrestha, Chang-Hwan Son and Gangseong Lee
Cuffless blood pressure (BP) monitoring is crucial for patients with cardiovascular disease and hypertension. However, conventional BP monitors provide only single-point estimates without confidence intervals. Therefore, the statistical variability in th...
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Zheng Han, Ming Li, Yange Li, Mingyue Zhao, Changli Li, Wendu Xie, Haohui Ding and Yangfan Ma
Recent studies have indicated that the accurate simulation of debris flows depends not only on the selection of numerical models but also on the availability of precise data on the initial source location and depth. Unfortunately, it is currently difficu...
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Zaved Khan, Ataur Rahman and Fazlul Karim
Reducing uncertainty in design flood estimates is an essential part of flood risk planning and management. This study presents results from flood frequency estimates and associated uncertainties for five commonly used probability distribution functions, ...
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Mahdi Nakhaei, Fereydoun Ghazban, Pouria Nakhaei, Mohammad Gheibi, Stanislaw Waclawek and Mehdi Ahmadi
Precise forecasting of streamflow is crucial for the proper supervision of water resources. The purpose of the present investigation is to predict successive-station streamflow using the Gated Recurrent Unit (GRU) model and to quantify the impact of inpu...
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Rosanna Salvia, Giovanni Quaranta, Kostas Rontos, Pavel Cudlin and Luca Salvati
Assuming a non-neutral impact of space, an explicit assessment of metropolitan hierarchies based on local regression models produces a refined description of population settlement patterns and processes over time. We used Geographically Weighted Regressi...
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Uk-Jae Lee, Dong-Hui Ko and Hong-Yeon Cho
In this study, a smoothing method was applied to improve the accuracy of peak wave period estimation using water surface elevation data collected from two oceanographic and meteorological observation towers situated on the western coast of the Korean Pen...
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