Sequential decision-making problems with multiple objectives arise naturally in practice and
pose unique challenges for research in decision-theoretic planning and learning, which has …

Information on suspended sediment load is crucial to water management and environmental
protection. Suspended sediment loads for three major rivers (Mississippi, Missouri and Rio …

A new generation of smart stormwater systems promises to reduce the need for new
construction by enhancing the performance of the existing infrastructure through real-time …

Although being one of the most popular and extensively studied approaches to design water
reservoir operations, Stochastic Dynamic Programming is plagued by a dual curse that …

The current study demonstrates the potential use of wavelet neural network (WNN) for river
flow modeling by develo** a rainfall-runoff model for Malaprabha basin in India. Daily …

Estimation of evapotranspiration (ET) requires a knowledge of the values of many climatic
variables, some of which require special equipment and careful observations. Although ET …

Many real-world decision problems have multiple objectives. For example, when choosing a
medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize …

Decision-making in construction planning and scheduling is complex because of budget
and resource constraints, uncertainty, and the dynamic nature of construction environments …

Recent flood events in Europe, the USA and elsewhere have shown the devastating impact
that flooding can have on people and property. Flood warning and forecasting systems …

Effective ways to optimise real-time pump scheduling to maximise energy efficiency are
being sought to meet the challenges in the energy market. However, the considerable …