A national map of pasture productivity, in terms mass dry matter yield per unit area and time, enables evaluation regional local land-use suitability. Difficulty measuring this quantity at scale directed research, which utilises four years Sentinel-2 satellite imagery collected measurements to develop a model productivity. The uses Normalised Difference Vegetation Index (NDVI), with spatio-temp...

Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used to map the input space into a high dimensional feature space. However, it can perform rather poorly when there are too many dimensions (e.g. for gene expression data) or when there is a lot of noise. In this paper, we ...

The challenging task of creating an accurate and up-to-date map of the fast changing world can be easily solved by means of crowdsourcing. OpenStreetMap (OSM) is a good example of this approach. However, the quantification of quality and suitability of OSM for certain applications is necessary as this database is primarily constructed by amateurs. Researchers have proposed several parameters to...

The lack of comprehensive sighting data sets precludes the application of standard habitat suitability modeling approaches to predict distributions of the majority of marine mammal species on very large scales. As an alternative, we developed an ecological niche model to map global distributions of 115 cetacean and pinniped species living in the marine environment using more readily available e...

BACKGROUND Despite the long history of Rift Valley fever (RVF) in Tanzania, extent of its suitable habitat in the country remains unclear. In this study we investigated potential effects of temperature, precipitation, elevation, soil type, livestock density, rainfall pattern, proximity to wild animals, protected areas and forest on the habitat suitability for RVF occurrence in Tanzania. MATER...

The determination of the vehicle position at the lane level is an important challenge in road navigation that can bring new possibilities for collision avoidance or advanced driver assistance systems. An interesting approach of this problem is the combination of GNSS with enhanced maps that include precise lane information. This paper presents a novel method for map-matching and positioning at ...

Knowledge of nodes’ locations is an essential requirement for many applications. This paper surveys the current state of the art for localization schemes in sensor networks. We present a taxonomy of the localization schemes for sensor networks based on different features. We then describe how the current localization schemes for sensor networks map to these different features. We believe that t...

This paper shows that in education and training systems LOM can be used to map the structure of courses. The necessary extension of the aggregation level is introduced. The description of the courses created with LOM allow for the reuse at all levels. Rhetoric didactic relations between the learning objects are also stored in the LOM records and support adaptivity. Our approach for the first ti...

The recent merging self-organizing map (MSOM) for unsupervised sequence processing constitutes a fast, intuitive, and powerful unsupervised learning model. In this paper, we investigate its theoretical and practical properties. Particular focus is put on the context established by the self-organizing MSOM, and theoretic results on the representation capabilities and the MSOM training dynamic ar...

We propose a novel supervised learning rule allowing the training of a precise input-output behavior to a spiking neuron. A single neuron can be trained to associate (map) different output spike trains to different multiple input spike trains. Spike trains are transformed into continuous functions through appropriate kernels and then Delta rule is applied. The main advantage of the method is it...