Developing accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …

The efficiency of tunnel boring machine (TBM) is regarded as a key factor in successfully
undertaking any mechanical tunneling project. In fact, an accurate forecasting of TBM …

In surface mines and underground excavations, every blasting operation can have some
destructive environmental impacts, among which air overpressure (AOp) is of major …

This paper presents the development and verification of a new multi-stage genetic
programming (MSGP) technique, called MSGP-LASSO, which was applied for univariate …

Skilful forecasting of monthly streamflow in intermittent rivers is a challenging task in
stochastic hydrology. In this study, genetic algorithm (GA) was combined with gene …

Drought forecasting is a vital task for sustainable development and water resource
management. Emerging machine learning techniques could be used to develop precise …

Recommender systems are machine learning based algorithms that found application in
various business scenarios, eg, video on demand or music streaming like Netflix and …

Rainfall hindcasting is one of the most challenging tasks in the hydrometeorological
forecasting community. The current ad hoc data-driven approaches appear to be insufficient …

Our cities face non-stop growth in population and infrastructures and require more energy
every day. Energy management is the key success for the smart cities concept since …

Over the last decade, application of soft computing techniques has rapidly grown up in
different scientific fields, especially in rock mechanics. One of these cases relates to indirect …