Search Results - (((((((want OR dient) OR semantic) OR win) OR cantor) OR anne) OR shape) OR hints) algorithms.

  1. 181

    Design studies and intelligence engineering

    Published 2022
    Table of Contents: “…Intro -- Title Page -- Preface -- Contents -- PSIC3839: Predicting the Overall Emotion and Depth of Entire Songs -- Research on Noise Control of Product Symbol Communication Channel-Take a Small Rice Mill for Example -- Towards Better Data Pre-Processing for Building Recipe Recommendation Systems from Industrial Fabric Dyeing Manufacturing Records: Categorization of Coloration Properties for a Dye Combination on Different Fabrics -- A Multi-Robot Planning Algorithm with Quad Tree Map Division for Obstacles of Irregular Shape…”
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    Electronic Conference Proceeding eBook
  2. 182

    Focus on artificial neural networks

    Published 2011
    Table of Contents: “…ARTIFICIAL NEURAL NETWORKS (ANNS) -- 3. MICROEMULSIONS -- 4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS -- 4.1. …”
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  3. 183

    Implementing cryptography using Python by Bray, Shannon, 1972-

    Published 2020
    Table of Contents: “…Chapter 2 Cryptographic Protocols and Perfect Secrecy -- The Study of Cryptology -- Understanding Cryptography -- Cryptography's Famous Family: Alice and Bob -- Diffie-Hellman -- Data Origin Authentication -- Entity Authentication -- Symmetric Algorithms -- Asymmetric Algorithms -- The Needham-Schroeder Protocols -- The Otway-Rees Protocol -- Kerberos -- Multiple-Domain Kerberos -- X.509 -- Formal Validation of Cryptographic Protocols -- Configuring Your First Cryptographic Library -- Understanding Cryptanalysis -- Brute-Force Attacks -- Side-Channel Attacks -- Social Engineering…”
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  4. 184

    Industrial control systems

    Published 2011
    Table of Contents: “…EXTRACTIVE FERMENTATION PROCESS FOR BIOETHANOL PRODUCTION ; 3. PLANT MODEL BASED ON ANN ; 3.1. ANN Configurations.…”
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  5. 185

    Regression Analysis with Python. by Massaron, Luca, Boschetti, Alberto

    Published 2016
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  6. 186

    Spatial Statistics and Digital Image Analysis.

    Published 1900
    Table of Contents: “…""Posterior Distribution""""Model Identification""; ""Attribute Estimation""; ""Algorithms""; ""2.4.2 Examples""; ""Image Restoration""; ""Boundary Detection""; ""Single Photon Emission Tomography""; ""Shape-From-Shading""; ""Deformable Templates""; ""Bibliography""; ""3 Oceanographic and Atmospheric Applications of Spatial Statistics and Digital Image Analysis""; ""3.1 INTRODUCTION""; ""3.2 SELECTED ANALYSIS AREAS""; ""3.2.1 Principal Component Analysis""; ""General Concepts""; ""Multispectral Data Application""; ""Multi-Temporal Data Application""…”
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  7. 187

    Communicating process architectures 2002. by World Occam And Transputer User Group. Technical Meeting (25th: 2002: University Of Reading, U. K.)

    Published 2002
    Table of Contents: “…A Communicating Threads (CT) Case Study: JIWYPrioritised Dynamic Communicating Processes -- Part I; Prioritised Dynamic Communicating Processes -- Part II; Implementing a Distributed Algorithm for Detection of Local Knots and Cycles in Directed Graphs; Author Index.…”
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  8. 188

    Mathematical Research in Materials Science : Opportunities and Perspectives. by Staff, National Research Council

    Published 1900
    Table of Contents: “…""STIFF POLYMERS AND LIQUID CRYSTALS""""OTHER PROBLEMS""; ""4 EVOLUTION OF MICROSTRUCTURES""; ""INTRODUCTION""; ""SPINODAL DECOMPOSITION AND NUCLEATION""; ""GRAIN GROWTH AND OTHER INTERFACE MOTION CONTROLLED BY INTERFACE KINETICS""; ""Computer Algorithms""; ""SHAPE EVOLUTION CONTROLLED BY SURFACE DIFFUSION""; ""MORPHOLOGICAL STABILITY""; ""Phase Transformations and Pattern Formation""; ""Dendritic Growth""; ""MUSHY ZONES""; ""PRECIPITATION AND COARSENING""; ""Evolution of Microstructures; Stress and Current Effects""; ""MARTENSITE AND SHAPE-MEMORY MATERIALS""; ""MAGNETIC MATERIALS""…”
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  9. 189

    Computational models of argument : Proceedings of COMMA 2012

    Published 2012
    Table of Contents: “…Simari -- Automated Deployment of Argumentation Protocols / Michael Rovatsos -- On Preferred Extension Enumeration in Abstract Argumentation / Katie Atkinson -- Towards Experimental Algorithms for Abstract Argumentation / Katie Atkinson.…”
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  10. 190

    Selected papers from the 11th international symposium on electromagnetics fields in electrical engineering ISEF 2003 by Wiak, S.

    Published 2004
    Table of Contents: “…Editorial advisory board; Abstracts; Editorial; Application of Haar's wavelets in the method of moments to solve electrostatic problems; A 3D multimodal FDTD algorithm for electromagnetic and acoustic propagation in curved waveguides and bent ducts of varying cross-section; The highly efficient three-phase small induction motors with stator cores made from amorphous iron; Optimal shape design of a high-voltage test arrangement; Cogging torque calculation considering magnetic anisotropy for permanent magnet synchronous motors; Magnetoelastic coupling and Rayleigh damping…”
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  11. 191

    Automata and Computability. by Kozen, Dexter, 1951-

    Published 1997
    Table of Contents: “…Miscellaneous Exercises Turing Machines and Effective ComputabilityHints for Selected Miscellaneous Exercises; Solutions to Selected Miscellaneous Exercises; References; Notation and Abbreviations; Index.…”
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  12. 192

    Windows 2000 Graphics API Black Book. by Chandler, Damon

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  13. 193

    Learning-based local visual representation and indexing by Rongrong, Ji, Yao, Hongxun, Gao, Yue, Duan, Ling-Yu, Dai, Qionghai

    Published 2014
    Table of Contents: “…3.4.1 Cross-database Case3.4.2 Incremental Transfer; 3.5 Experiments; 3.5.1 Quantitative results; 3.6 Summary; Chapter 4: Supervised Dictionary Learning via Semantic Embedding ; 4.1 Introduction; 4.2 Semantic Labeling Propagation; 4.2.1 Density Diversity Estimation ; 4.3 Supervised Dictionary Learning; 4.3.1 Generative Modeling ; 4.3.2 Supervised Quantization ; 4.4 Experiments; 4.4.1 Database and Evaluations; 4.4.2 Quantitative Results; 4.5 Summary; Chapter 5: Visual Pattern Mining; 5.1 Introduction; 5.2 Discriminative 3D Pattern Mining; 5.2.1 The Proposed Mining Scheme.…”
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  14. 194

    Media Backends : Digital Infrastructures and Sociotechnical Relations. by Parks, Lisa

    Published 2023
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  15. 195

    New developments in lasers and electro-optics research

    Published 2007
    Table of Contents: “…Cho -- Shape detection by means of a laser line and approximation neural networks / J. …”
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  16. 196

    Digital workflows in architecture : designing design -- designing assembly -- designing industry

    Published 2012
    Table of Contents: “…DIGITAL CRAFTSMANSHIP: FROM THINKING TO MODELING TO BUILDINGWireframe Algorithms (Editor's Notes); ALGORITHMIC WORKFLOWS IN ASSOCIATIVE MODELING; Workflow Teams (Editor's Notes); WORKFLOW CONSULTANCY; THE SCENT OF THE SYSTEM; indeterminacy (Editor's Notes); DESIGNING INDUSTRY; WHAT DO WE MEAN BY BUILDING DESIGN?…”
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  17. 197

    Pattern discovery in biomolecular data : tools, techniques, and applications

    Published 1999
    Table of Contents: “…Discovering patterns in DNA sequences by the algorithmic significance method / Aleksandar Milosavljevic -- Assembling blocks / Jorja G. …”
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  18. 198

    Vision Geometry. by Melter, Robert A.

    Published 1991
    Table of Contents: “…Star-Shapedness of Digitized Planar ShapesAlgorithms for the Decomposition of Convex Polygons -- Decomposition of Discrete Curves into Piecewise Straight Segments in Linear Time -- Digitization Schemes and the Recognition of Digital Straight Lines, Hyperplanes, and Flats in Arbitrary Dimensions -- Computational Geometry and Computer Vision -- Convexity, Visibility, and Orthogonal Polygons…”
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  19. 199

    Advanced Analytics with R and Tableau. by Stirrup, Jen

    Published 2016
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  20. 200

    Big Data, IoT, and Machine Learning : Tools and Applications. by Agrawal, Rashmi

    Published 2020
    Table of Contents: “…Chapter 3 Reviews Analysis of Apple Store Applications Using Supervised Machine Learning -- 3.1 Introduction -- 3.2 Literature Review -- 3.2.1 Machine Learning Algorithms -- 3.2.2 Feature Extraction Algorithms -- 3.3 Proposed Methodology -- 3.3.1 Data Collection -- 3.3.2 Feature Extraction -- 3.3.3 Data Analysis and Sentiment Analysis -- Text Processing -- 3.3.4 Text Normalisation -- 3.4 Feature Extraction Algorithm -- 3.4.1 CountVectorizer -- 3.4.2 TfidfVectorizer (TF-IDF) -- 3.5 Supervised ML Classification -- 3.6 Experiment Design -- 3.7 Experimental Results and Analysis…”
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