Filtern
Erscheinungsjahr
Dokumenttyp
- Ausgabe (Heft) zu einer Zeitschrift (36)
- Dissertation (27)
- Masterarbeit (8)
- Diplomarbeit (4)
- Studienarbeit (4)
- Bachelorarbeit (2)
Sprache
- Englisch (81) (entfernen)
Schlagworte
- Bluetooth (4)
- Software Engineering (4)
- Knowledge Compilation (3)
- Semantic Web (3)
- Campus Information System (2)
- E-KRHyper (2)
- Equality (2)
- Modellgetriebene Entwicklung (2)
- Ontology (2)
- Petri-Netze (2)
- Theorem Proving (2)
- University (2)
- constraint logic programming (2)
- hybrid automata (2)
- probability propagation nets (2)
- API (1)
- API analysis (1)
- API-Analyse (1)
- AUTOSAR (1)
- Abduktion <Logik> (1)
- Ad-hoc-Netz (1)
- Adaptation (1)
- Algorithm Engineering (1)
- Algorithmische Geometrie (1)
- Anpassung (1)
- Architektur <Informatik> (1)
- Auditing (1)
- Augmented Reality (1)
- Automated Theorem Proving (1)
- Automated Theorem Proving Systems (1)
- Automotive Systems (1)
- Bayes Procedures (1)
- Beaconless (1)
- Befahrbarkeit (1)
- Border Gateway Protocol (1)
- Border Gateway Protocol 4 (1)
- Calculus (1)
- Communication Networks (1)
- Computer Security (1)
- Computersicherheit (1)
- Computersimulation (1)
- Conference (1)
- Connected Vehicles (1)
- Context-aware processes (1)
- DPLL procedure (1)
- Data Mining (1)
- Deduktion (1)
- Description Logics (1)
- Destiny (1)
- Developer profiling (1)
- Dijkstras Algorithmus (1)
- Dimension 3 (1)
- Diskrete Simulation (1)
- Distributed Algorithm (1)
- Distributed Environments (1)
- Distributed process execution (1)
- Drahtloses Sensorsystem (1)
- Drahtloses vermachtes Netz (1)
- Driver Assistance Systems (1)
- E-Participation (1)
- Ebener Graph (1)
- Empirical Studies (1)
- Emulation (1)
- Enhanced Reality (1)
- Enterprise Architecture Framework (1)
- Entwickler Profil (1)
- Fahrzeug (1)
- Formal Methods (1)
- Formale Methoden (1)
- Formale Ontologie (1)
- Fragebeantwortung (1)
- Gelände (1)
- Geographic routing (1)
- Geometric spanner (1)
- Graph (1)
- Grounded Theory (1)
- Hindernis (1)
- Horn Clauses (1)
- Human-Computer Interaction (1)
- Hyper Tableau Calculus (1)
- IASON (1)
- IT Guru (1)
- IT-Security (1)
- Information Centric Networking (1)
- Information Retrieval (1)
- Intelligent Information Network (1)
- Interactive Video Retrieval (1)
- JML (1)
- Java (1)
- Java Modeling Language (1)
- Java. Programmiersprache (1)
- KRHyper (1)
- Klassifikation (1)
- Knowledge (1)
- Knowledge Engineering (1)
- Komplexität / Algorithmus (1)
- Laser (1)
- Local algorithm (1)
- Logischer Schluss (1)
- MIA (1)
- MPEG-7 (1)
- MSR (1)
- Mensch-Maschine-Interaktion (1)
- Metamodel (1)
- Mining (1)
- Mining Software Repositories (1)
- Mobile Information Systems (1)
- Multi-robot System (1)
- Multiagent System (1)
- Multiagentensysteme (1)
- Nachbarschaftsgraph (1)
- Named Function Networking (1)
- Netzwerk (1)
- Netzwerkanalyse (1)
- Netzwerktopologie (1)
- Neuronales Netz (1)
- OPNET (1)
- OWL <Informatik> (1)
- Ontologie <Wissensverarbeitung> (1)
- Oracle Generation (1)
- Oraklegenerierung (1)
- Personalised Information Systems (1)
- Petri Nets (1)
- Petri net (1)
- Petrinetz (1)
- Placement Strategies (1)
- Planar graphs (1)
- Policy Language (1)
- Proactive Caching (1)
- Probability (1)
- Probability propagation nets (1)
- Einbringen (1)
- Process tracing (1)
- Propagation (1)
- Provenance (1)
- Prädikatenlogik (1)
- Quasi unit disk graph (1)
- Query Expansion (1)
- RDF Graphs (1)
- RDF modeling (1)
- Reactive algorithm (1)
- Reference Model (1)
- Relevance Feedback (1)
- Resource Description Framework (RDF) (1)
- Robocup 2008 (1)
- Roboter (1)
- Routing (1)
- Routing Information Protocol (RIP) (1)
- Routing Loops (1)
- Routing with Metric based Topology Investigation (RMTI) (1)
- SOA (1)
- SPARQL (1)
- Schlussfolgern (1)
- Security Requirements (1)
- Semantic Web Data (1)
- Semantics (1)
- Serviceorientierte Architektur (1)
- Software Language (1)
- Software Repositories (1)
- Software Technology (1)
- Softwarearchitektur (1)
- Softwaretest (1)
- Softwaretesting (1)
- Specification (1)
- Spezifikation (1)
- Stochastic Logic (1)
- Straßenzustand (1)
- TAP (1)
- TRECVID (1)
- Tableau Calculus (1)
- Technologischer Raum (1)
- Test Generation (1)
- Testgenerierung (1)
- Theorem prover (1)
- Theorembeweiser (1)
- Tokens (1)
- UML (1)
- Unified Modeling Language (UML ) (1)
- Unit disk graph (1)
- Vegetation distribution (1)
- Verifikation (1)
- Verteilter Algorithmus (1)
- Wahrscheinlichkeitsrechnung (1)
- Web Ontology Language (OWL) (1)
- Werbung (1)
- Wireless sensor network (1)
- Wissensmanagement (1)
- World Wide Web 2.0 (1)
- XML (1)
- Zusammenhängender Graph (1)
- automated theorem prover (1)
- backpropagation (1)
- bias (1)
- classification (1)
- concurrency (1)
- data mining (1)
- deductive (1)
- description logic (1)
- e-learning (1)
- event model (1)
- event-based systems (1)
- first-order logic (1)
- folksonomies (1)
- gaze information (1)
- grassland (1)
- hybrid systems (1)
- hybride Automaten (1)
- iCity project (1)
- image semantics (1)
- information retrieval (1)
- knowledge management system (1)
- landmarks (1)
- living book (1)
- model generation (1)
- multi-agent systems (1)
- multiagent systems (1)
- networks (1)
- neural (1)
- ontology (1)
- personal information management (1)
- persönliches Informationsmanagement (1)
- privacy protection (1)
- public key infrastructure (1)
- question answering (1)
- reasoning (1)
- recurrent (1)
- semantic desktop (1)
- semantics (1)
- semantischer Desktop (1)
- sequent calculi (1)
- simulation (1)
- summative evaluation (1)
- tag recommendation (1)
- tagging (1)
- vegetation modeling (1)
- verification (1)
- web 2.0 (1)
Institut
- Institut für Informatik (81) (entfernen)
Initial goal of the current dissertation was the determination of image-based biomarkers sensitive for neurodegenerative processes in the human brain. One such process is the demyelination of neural cells characteristic for Multiple sclerosis (MS) - the most common neurological disease in young adults for which there is no cure yet. Conventional MRI techniques are very effective in localizing areas of brain tissue damage and are thus a reliable tool for the initial MS diagnosis. However, a mismatch between the clinical fndings and the visualized areas of damage is observed, which renders the use of the standard MRI diffcult for the objective disease monitoring and therapy evaluation. To address this problem, a novel algorithm for the fast mapping of myelin water content using standard multiecho gradient echo acquisitions of the human brain is developed in the current work. The method extents a previously published approach for the simultaneous measurement of brain T1, T∗ 2 and total water content. Employing the multiexponential T∗ 2 decay signal of myelinated tissue, myelin water content is measured based on the quantifcation of two water pools (myelin water and rest) with different relaxation times. Whole brain in vivo myelin water content maps are acquired in 10 healthy controls and one subject with MS. The in vivo results obtained are consistent with previous reports. The acquired quantitative data have a high potential in the context of MS. However, the parameters estimated in a multiparametric acquisition are correlated and constitute therefore an ill-posed, nontrivial data analysis problem. Motivated by this specific problem, a new data clustering approach is developed called Nuclear Potential Clustering, NPC. It is suitable for the explorative analysis of arbitrary dimensional and possibly correlated data without a priori assumptions about its structure. The developed algorithm is based on a concept adapted from nuclear physics. To partition the data, the dynamic behavior of electrically even charged nucleons interacting in a d-dimensional feature space is modeled. An adaptive nuclear potential, comprised of a short-range attractive (Strong interaction) and a long-range repulsive term (Coulomb potential), is assigned to each data point. Thus, nucleons that are densely distributed in space fuse to build nuclei (clusters), whereas single point clusters are repelled (noise). The algorithm is optimized and tested in an extensive study with a series of synthetic datasets as well as the Iris data. The results show that it can robustly identify clusters even when complex configurations and noise are present. Finally, to address the initial goal, quantitative MRI data of 42 patients are analyzed employing NPC. A series of experiments with different sets of image-based features show a consistent grouping tendency: younger patients with low disease grade are recognized as cohesive clusters, while those of higher age and impairment are recognized as outliers. This allows for the definition of a reference region in a feature space associated with phenotypic data. Tracking of the individual's positions therein can disclose patients at risk and be employed for therapy evaluation.