Global elasmobranch populations have declined dramatically over the past 50 years, and
continued research into the drivers of their habitats and distributions is vital for improved …

Synthetic aperture radar (SAR) images are a valuable source of information for the detection
of marine oil spills. For their effective analysis, it is important to have segmentation …

Late blight (LB) is one of the most aggressive tomato diseases in California. Accurately
detecting the disease will increase the efficiency of properly controlling the disease …

This paper proposes functional networks as novel intelligence paradigm scheme for
landslide displacement prediction. They evaluate unknown neuron functions from given …

Functional networks (FNs) are extensions of neural networks (NNs). Unlike NNs, FNs
considers general functional models instead of sigmoid-like models. Additionally, in FNs …

Ubiquitous recommender systems facilitate users on-location by personalized
recommendations of items in the proximity via mobile devices. Due to a high variability of …

Complex network systems are pervasive in life sciences at all levels, from molecules and
genes to organisms and ecosystems. All these systems are characterized by being …

Complexity of analysis of landslide hazard is due to uncertainty. In this study, a novel
approach multi-gene genetic programming based on separable functional network …

This article presents the application of various Artificial Intelligence techniques to images
that proceed from Remote Sensing and serve to predict Prionace Glauca captures (the …

The authors present an object oriented model of symbol table construction and name lookup
for ISO C++ using the Unified Modeling Language (UML). Our use of UML class, activity and …