Water is a precious resource that should be managed carefully. However, due to leakages in
water distributed networks (WDNs), a large amount of water is lost each year that suggests …

Rainfall data series with adequate quality and length are often incomplete or nonexistent.
Thus, filling in rainfall gaps becomes necessary to complete databases. This article …

The gap filling is common practice to complete hydrological data series without missing
values for environmental simulations and water resources modeling in a changing climate …

Accurate estimation of precipitation patterns is essential for the modeling of hydrological
systems and for the planning and management of water resources. However, rainfall time …

Abstract Study Region The Washington DC area. Study Focus This work investigates the
potential of using satellite-based precipitation products in a hydrological model to estimate …

Existing material identification for loose particles inside sealed relays focuses on the
selection and optimization of classification algorithms, which ignores the features in the …

With the rapid increase of urban population and the number of motor vehicles, the traffic
congestion problem is becoming more and more serious in megacities. This paper aims to …

O entendimento do comportamento hidrológico de uma região é importante para o
desenvolvimento de atividades e empreendimentos socioeconômicas e gestão ambiental …

The nonhomogeneous hidden Markov model (NHMM) is a popular statistical downscaling
(SD) approach that can be used for multisite precipitation estimation. However, the NHMM …

The paper presents two approaches to filling gaps in precipitation based on classification
(Support-Vector Machines) and regression (EM, Random Forests, k-Nearest Neighbors) …