The global community is continuously working to minimize the impact of disasters through
various actions, including earth surveying. For example, flood-prone areas must be …

Les algorithmes génétiques, la logique floue et les réseaux de neurones sont de plus en
plus utilisés dans des domaines d'application très variés. Nous nous proposons de les …

A given observation in time series does not only depend on preceding one but also previous
ones in general. Therefore, high order fuzzy time series approach might obtain better …

This fundamental book on Artificial Neural Networks has its emphasis on clear concepts,
ease of understanding and simple examples. Written for undergraduate students, the book …

Static quantification measures of chemical components are commonly used to make certain
assumptions about forage or feed nutritive value and quality. In order for modern nutrient …

In this study, two different approaches are proposed to determine the ultimate bearing
capacity of shallow foundations on granular soil. Firstly, an artificial neural network (ANN) …

The mining industry annually consumes trillions of British thermal units of energy, a large
part of which is saveable. Diesel fuel is a significant source of energy in surface mining …

This work presents a global geometric similarity scheme (GGSS) for feature selection in fault
diagnosis, which is composed of global geometric model and similarity metric. The global …

Software requirements engineering is a critical discipline in the software development life
cycle. The major problem in software development is the selection and prioritization of the …

Global burned are algorithms provide valuable information for climate modellers since fire
disturbance is responsible of a significant part of the emissions and their related impact on …