The forecasting problem is one of the main environmental problems that need efficient software tools. More concrete, it can mean meteorological/weather forecasting, air/soil/water pollution forecasting, flood forecasting and so on. Several methods based on artificial intelligence were proposed by taken into account that they can offer more informed methods that use domain specific knowledge, an...

The continental shelf of the eastern Bering Sea (EBS) is highly productive, supporting some of the most valuable finand shellfish fisheries in the United States as well as large, local and migratory, populations of seabirds and marine mammals. Temperature and hydrographic structure are important components to the pelagic and epibenthic habitat that influence the distribution, behavior and inter...

We present a unique view of mackerel (Scomber scombrus) in the North Sea based on a new time series of larvae caught by the Continuous Plankton Recorder (CPR) survey from 1948-2005, covering the period both before and after the collapse of the North Sea stock. Hydrographic backtrack modelling suggested that the effect of advection is very limited between spawning and larvae capture in the CPR s...

The North Icelandic Irminger Current (NIIC) flowing northward through Denmark Strait is the main source of salt and heat to north Iceland shelf. We quantify its along-stream evolution using first high-resolution hydrographic/velocity survey that spans entire shelf along with historical hydrographic measurements as well data from satellites surface drifters. NIIC generally follows break. Portion...

The hydrographic survey reduction using ellipsoid has been available since the advent of global navigation satellite system (GNSS), with a potential to streamline operation and enhance bathymetric output. Spatially continuous separation surfaces connecting chart datum (CD) geodetic is required for this technique. Universiti Teknologi Malaysia (UTM) invented new quasi-seamless model Malaysian wa...

In this paper we use a two-layer neural network for robust image segmentation. The rst layer is a locally coupled recurrent network. Using probabilistic measures, contextual information is incorporated eeectively through underlying coupling structures, which reduces and even resolves local ambiguities in images. The second layer is a LEGION (Locally Excitatory Globally Inhibitory Oscillator Net...