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Alex Brisbois and Rebecca Dziedzic
Installing pumps as turbines (PaTs) in water distribution networks can recover otherwise wasted energy, as well as reduce leakage caused by high water pressure. However, a barrier to their implementation is the lack of information on their performance in...
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Marian Pompiliu Cristescu, Dumitru Alexandru Mara, Lia Cornelia Culda, Raluca Andreea Neri?anu, Adela Bâra and Simona-Vasilica Oprea
This study explores the potential of data science software solutions like Customer Relationship Management Software (CRM) for increasing the revenue generation of businesses. We focused on those businesses in the accommodation and food service sector acr...
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Chenxi Liu, Israel Cohen, Rotem Vishinkin and Hossam Haick
Tuberculosis (TB) has long been recognized as a significant health concern worldwide. Recent advancements in noninvasive wearable devices and machine learning (ML) techniques have enabled rapid and cost-effective testing for the real-time detection of TB...
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Konstantinos V. Kostas and Maria Manousaridou
In this work, supervised Machine Learning (ML) techniques were employed to solve the forward and inverse problems of airfoil and hydrofoil design. The forward problem pertains to the prediction of a foil?s aerodynamic or hydrodynamic performance given it...
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Qiao Su, Hongjun Yu, Xingyong Xu, Bo Chen, Lin Yang, Tengfei Fu, Wenquan Liu and Guangquan Chen
The underground brine in Southern Laizhou Bay is characterized by its large scale and high concentration, which can affect the distribution and migration of geochemical elements in sediments. Most studies on the brine are based on hydrochemical analysis,...
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Guoying Wang, Jiafeng Ai, Lufeng Mo, Xiaomei Yi, Peng Wu, Xiaoping Wu and Linjun Kong
Anomaly detection has an important impact on the development of unmanned aerial vehicles, and effective anomaly detection is fundamental to their utilization. Traditional anomaly detection discriminates anomalies for single-dimensional factors of sensing...
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Mohammed Baz
The aviation industry is one of the fastest-growing sectors and is crucial for both passenger transport and logistics. However, the high costs associated with maintenance, refurbishment, and overhaul (MRO) constitute one of the biggest challenges facing ...
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Thabang Mathonsi and Terence L. van Zyl
Hybrid methods have been shown to outperform pure statistical and pure deep learning methods at forecasting tasks and quantifying the associated uncertainty with those forecasts (prediction intervals). One example is Exponential Smoothing Recurrent Neura...
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Md. Mizanur Rahman Sarker, Thomas Hermans, Marc Van Camp, Delwar Hossain, Mazeda Islam, Nasir Ahmed, Md. Abdul Quaiyum Bhuiyan, Md. Masud Karim and Kristine Walraevens
People in the southwestern (SW) coastal part of Bangladesh are suffering from a severe freshwater crisis due to saline groundwater at a shallow depth. Fresh groundwater below a 200 m depth is an option, but it is costly to construct deep tubewells for th...
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Zichao He, Chunna Zhao and Yaqun Huang
Multivariate time series forecasting has long been a subject of great concern. For example, there are many valuable applications in forecasting electricity consumption, solar power generation, traffic congestion, finance, and so on. Accurately forecastin...
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