„component-graph“
Suchergebnisse
1.000+ Treffer
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Computation of component image velocity from local phase information
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FPGA implementation of the principal component analysis algorithm for dimensionality reduction of hyperspectral images
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A single-cycle parallel multi-slice connected components analysis hardware architecture
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Components integration-effect graph: a black box testing and test case generation technique for component-based software
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Inside Cover: Role of Reduced Graphene Oxide in the Critical Components of a CdS‐Sensitized TiO 2 ‐Based Photoelectrochemical Cell (ChemPhysChem 10/2014)
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Properties of Electrodeposited Tungsten Coatings on Graphite Substrates for Plasma Facing Components
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P1.03: Revealing different structural components of malnutrition in Benin and Bangladesh by graphical chain models
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Sustainable Bioresource‐Derived Components for Molecular Keypad Lock and IMPLICATION Logic Gate Construction
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How to determine if a random graph with a fixed degree sequence has a giant component
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Shape-Based Analysis on Component-Graphs for Multivalued Image Processing
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On the Giant Component of Geometric Inhomogeneous Random Graphs
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Nonlinear optical components for all-optical probabilistic graphical model
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O. V. Mazurin, M. V. Streltsina u. T. P. Shvaiko‐Shvaikovskaya. Single‐component and binary non‐silicate oxide glasses. Physical Science Data 15, Handbook of Glass Data, Part B. Elsevier‐Science Publ., Amsterdam, Oxford, New York, Tokyo 1985, 805 Seiten, 535 graphische Darstellungen, 964 Literaturzitate, Preis US $ 166.75/Dfl. 450.00 ISBN 0‐444‐42484‐9
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Computing Fundamentals – The Theory and Practice of Software Design with BlackBox Component Builder
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Loose and Encased Graphite for Methylene Blue Adsorption: Process Optimization and Principal Component Analysis
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Rough fuzzy strongly connected components of rough fuzzy directed graphs with applications to marine ecological networks
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A Comprehensive Classification Approach by Integrating Principal Component Analysis and Support Vector Machines for Advanced Intrusion Detection Systems
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Deep learning framework for component identification
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Motor imagery EEG signal classification using long short-term memory deep network and neighbourhood component analysis
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Prioritization of e-learners activities using principal component analysis method