About: Methods of Artificial Inteligence in GIS

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Projekt, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	http://linked.opendata.cz/ontology/domain/vavai/Projekt
rdfs:seeAlso	http://www.isvav.cz/projectDetail.do?rowId=GA205/09/1079
Description	Project's objective is to evaluate and develop aspects of utilizing artificial intelligence for processing, visualizing, and interpreting spatial information in the environment of geographic information systems (GIS). The project is a collective research activity of experts from various scientific fields of two academic departments and the Academy of Science institute. The project deals with integration of methods used for solving issues in the field of artificial intelligence and techniques for spatial data processing whose cooperation is inevitable for developing new modern research methods and technologies. For reaching the objective of the project, resolving the following separate issues is presumed: - Developing theoretical resources for processing high-dimensional and stream data through artificial intelligence methods; - Applying bio-inspired calculations for acquiring knowledge from spatial data; - Generating data models and structures for GIS from high-dimensional and stream data using artificial intelligence; - Evaluating spatial aspects of artificial intelligence methods for spatial analyses of GIS; - Visualizing high-dimensional and stream data; - Applying new knowledge for an example of processing general (population, houses, and apartments - PHAC) census demographical data. (en) Cílem řešení projektu je zhodnotit a rozpracovat aspekty využití metod umělé inteligence při zpracování, vizualizaci a interpretaci prostorových informací v prostředí geografických informačních systémů (GIS).
Title	Methods of Artificial Inteligence in GIS (en) Metody umělé inteligence v GIS
skos:notation	GA205/09/1079
http://linked.open...avai/cep/aktivita	Standard projects
http://linked.open...kovaStatniPodpora	http://linked.opendata.cz/resource/domain/vavai/projekt/GA205%2F09%2F1079/celkovaStatniPodpora
http://linked.open...ep/celkoveNaklady	http://linked.opendata.cz/resource/domain/vavai/projekt/GA205%2F09%2F1079/celkoveNaklady
http://linked.open...datumDodatniDoRIV	2015-03-02 (xsd:date)
http://linked.open...i/cep/druhSouteze	VS - Veřejná soutěž ve výzkumu a vývoji
http://linked.open...ep/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open.../cep/fazeProjektu	91494507
http://linked.open...ai/cep/hlavniObor	DE - Zemský magnetismus, geodesie, geografie
http://linked.open...hodnoceniProjektu	V - Vynikající výsledky (s mezinárodním významem apod.). Zároveň byly splněny cíle a předpokládané výsledky uvedené ve smlouvě / rozhodnutí o poskytnutí podpory.
http://linked.open...vai/cep/kategorie	ZV - Základní výzkum
http://linked.open.../cep/klicovaSlova	umělá inteligence, geografické informační systémy, Kohonenovy mapy, genetické algoritmy (en)
http://linked.open...ep/partnetrHlavni	Přírodovědecká fakulta
http://linked.open...inujicichPrijemcu	0 (xsd:int)
http://linked.open...cep/pocetPrijemcu	1 (xsd:int)
http://linked.open...ocetSpoluPrijemcu	2 (xsd:int)
http://linked.open.../pocetVysledkuRIV	67 (xsd:int)
http://linked.open...enychVysledkuVRIV	67 (xsd:int)
http://linked.open...lneniVMinulemRoce	2011-04-16 (xsd:date)
http://linked.open.../prideleniPodpory	http://linked.opendata.cz/resource/domain/vavai/cep/prideleniPodpory/205%2F09%2F1079
http://linked.open...iciPoslednihoRoku	2011
http://linked.open...atUdajeProjZameru	2012
http://linked.open.../vavai/cep/soutez	SGA02009GA-ST
http://linked.open...usZobrazovaneFaze	DUU
http://linked.open...ai/cep/typPojektu	P - Projekt výzkumu a vývoje financovaný ze státního rozpočtu
http://linked.open...ep/ukonceniReseni	2011-12-31 (xsd:date)
http://linked.open.../cep/vedlejsiObor	IN - Informatika
http://linked.open...ep/zahajeniReseni	2009-01-01 (xsd:date)
http://linked.open...jektu+dodavatelem	Řešení projektu proběhlo výtečně, jak z hlediska odborného tak i z hlediska čerpání finančních prostředků. (cs) The project was excellent, both in terms of expertise and in terms of disbursement of funds. (en)
http://linked.open...tniCyklusProjektu	ZBKU
http://linked.open.../cep/klicoveSlovo	umělá inteligence Kohonenovy mapy geografické informační systémy
is http://linked.open...vavai/riv/projekt of	Boolean Factor Analysis by Expectation-Maximization Method Brain Computer Interface Enhancement by Independent Component Analysis Comparison of Two Neural Networks Approaches to Boolean Matrix Factorization Origin and Elimination of Two Global Spurious Attractors in Hopfield-Like Neural Network Performing Boolean Factor Analysis Score Moment Estimation Boolean Factor Analysis by the Expectation-Maximization Algorithm Clustering with Mixed Type Variables and Determination of Cluster Numbers Interleaver Optimization using Population-Based Metaheuristics Score Correlation Problematika předpovědi výroby elektrické energie z fotovoltaických farem Evaluation of Categorical Data Clustering Expectation-Maximization Approach to Boolean Factor Analysis Genetic search for quasigroups with heterogeneous power sequences Interactivity in Cartography Sources of brain activity relevant and not relevant for classifying of EEG patterns, corresponding to motor imagination Landslide susceptibility assessment using SVM machine learning algorithm Landslide Assessment of Starča Basin (Croatia) Using Machine Learning Algorithms Lineární programování a geografické informační systémy Paralelní učení neuronové sítě SOM Parallel hybrid SOM learning on high dimensional sparse data Statistical Inference for GIS Using SVM and clustering algorithms in IDS systems Using of matrix decomposition in calculation of map similarity Využití klasifikačních algoritmů metod strojového učení pro účely prostorového modelování Comparison of Selected Methods for Document Clustering Combined method for effective clustering based on parallel SOM and spectral clustering Czech text segmentation using voting experts and its comparison with Menzerath-Altmann law Traffic Simulation and Intelligent Agents Web Visualization Support for Disaster Management Searching Common Pattern in Agents Behaviors with Usage of FCA Large quasigroups in cryptography and their properties testing Testing the Properties of Large Quasigroups Cluster, SOM and NMF Analyses of Web Patterns Quasigroups with Good Statistical Properties Improvements Quality of Kohonen Maps Using Dimension Reduction Methods Evolving Quasigroups by Genetic Algorithms Testing Quasigroup Identities using Product of Sequence XML compression improvements based on the clustering of elements On Maps Comparison Methods Směrování dopravních vozidel Shlukování a extrakce rysù v leteckých snímcích Clustering and extraction of features in aerial photographs Air pollution detection using MODIS data A New Statistical Tool: Scalar Score Function BlakerCI: Blaker's Binomial Confidence Limits Social Group Identification and Clustering New Developments in Fuzzy Cluster Analysis Artificial intelligence and geographic information systems: mutual meeting and passing Map Similarity Testing Using Matrix Decomposition Cartographic Support of Fire Engine Navigation to Operation Site Landslide susceptibility assessment with machine learning algorithms Gramotné čtení map - GIS a kartografie Stochastic approach for determining landslide activity Cartographic visualization for DEM quality assessment Cellular automata and multi-agent systems – new paradigm to modelling and simulation of spatial processes Cartometric Analysis of Jaume Olives' Portolan Atlas of 1563 Bulevskij faktornyj analiz na osnove attraktornoj nejronnoj seti i nekotoryje ego priloženija Brain-Computer Interface: Common Tensor Discriminant Analysis Classifier Evaluation Metody umělé inteligence v geoinformatice New Measure of Boolean Factor Analysis Quality

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