Background Millions of people have been infected worldwide in the COVID-19 pandemic. In
this study, we aim to propose fourteen prediction models based on artificial neural networks …

In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …

The presence of bridge structures in river channels can act as obstacles against flow and
create backwater upstream. Therefore, to predict and identify flood areas under a certain …

Accepted: 1 May. 2020 Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) is
a novel coronavirus that has infected more than 2,900,000 individuals worldwide. The …

Lined channels with trapezoidal, rectangular and triangular sections are the most common
manmade canals in practice. Since the construction cost plays a key role in water …

Infiltration is a vital phenomenon in the water cycle, and consequently, estimation of
infiltration rate is important for many hydrologic studies. In the present paper, different data …

Using only a limited number of computationally expensive functions, we show a way how to
construct accurate and computationally efficient approximations of the Colebrook equation …

This study's objective was to assess the impact of the COVID-19 pandemic on tomato supply
and prices in Gudimalkapur market in Hyderabad, India. The lockdown imposed by the …

Bridges are essential structures that connect riverbanks and facilitate transportation.
However, bridge piers and abutments can disrupt the natural flow of rivers, causing a rise in …

This paper explores different methods of computing backwater depth for open-channel flow,
such as one-to multi-dimensional models, finite difference approaches, and artificial …