Highly accurate and extensive datasets are needed for the practical implementation of precision forestry as a method forest ecosystem management. Proper processing huge involves necessity appropriate selection methods their analysis optimization. In this paper, we propose concept data preprocessing algorithm, empirical verification selected individual tree detection (ITD) algorithms, based on A...

This paper proposes a framework for representing cross-lingual/interlingual lexical semantic correspondences that are expected to be recovered through a series of on-demand/on-the-fly invocations of a lexical semantic matching process. One of the central notions of the proposed framework is a pseudo synset, which is introduced to represent a cross-lingual/multilingual lexical concept, jointly d...

We discuss the development of a multilingual lexicon linked to a formal ontology. First we describe the Open Multilingual Wordnet, a multilingual wordnet with twenty two languages and a rich structure of semantic relations. It is made by exploiting links from various monolingual wordnets to the English Wordnet. Currently, it contains 118,337 concepts expressed in 1,643,260 senses in 22 language...

In this paper, we present a modeling of the syntactic lexicon for Arabic verbs based on the Lexical Markup Framework. This ISO standard let us describe the lexical information in a simple way using general guidelines and enable the sharing of resources following the standard. We discuss the syntactic information associated to verbs and the model we propose to structure and represent the entries...

We consider the following advertisement problem in social networks. Given a fixed advertisement investment (e.g., provide free samples to small number of users), a company needs to determine the probability that users of a social network will eventually purchase the product. In this paper, we model social networks as scalefree graphs (with or without high clustering coefficient). We then charac...

The modelling of many real life phenomena for which either the parameter estimation is diicult, or which are subject to random noisy perturbations, is often carried out by using stochastic ordinary differential equations (SODEs). For this reason, in recent years much attention has been devoted to deriving numerical methods for approximating their solution. In particular, in this paper we consid...

This paper presents a unifying view of various error nonlinearities that are used in least mean square (LMS) adaptation such as the least mean fourth (LMF) algorithm and its family and the least-mean mixed-norm algorithm. Speci cally, it is shown that the LMS algorithm and its errormodi ed variants are approximations of two recently developed optimum nonlinearities which are expressed in terms ...

libraries play a pivotal role in the sustainable development of the country. the aim of the present study was to investigate the quality of educational services provided by library of medical faculty of kermanshah according to the library standards. in this descriptive cross-sectional study, 309 library members were studied through libqual questionnaire. data were analyzed by descriptive statis...

bination of anaphoric and metonymic inferences is chosen. Another problem with Norvig' s approach relates to the fact that insufficient results from the inference processes do not trigger additional computations in order to try yet another, perhaps not so obvious analysis. If, e.g., for reasons whatsoever no anaphoric inference is found for a definite noun phrase, Norvig' s system does not atte...