Search Results - (((((((ant OR avanti) OR semantics) OR wien) OR cantor) OR anne) OR shape) OR hints) algorithms.

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  1. 141

    Data Analytics in Bioinformatics : A Machine Learning Perspective. by Satpathy, Rabinarayan

    Published 2021
    Table of Contents: “…3.4.1 Comparative Analysis of ANN With Broadly Used Traditional ML Algorithms -- 3.5 Critical Analysis -- 3.6 Conclusion -- References -- Part 2: MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION -- 4 Dimensionality Reduction Techniques: Principles, Benefits, and Limitations -- 4.1 Introduction -- 4.2 The Benefits and Limitations of Dimension Reduction Methods -- 4.3 Components of Dimension Reduction -- 4.3.1 Feature Selection -- 4.3.2 Feature Reduction -- 4.4 Methods of Dimensionality Reduction -- 4.4.1 Principal Component Analysis (PCA)…”
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  2. 142

    Optical Coherence Tomography in Glaucoma by Rosdahl, Jullia A.

    Published 2021
    Table of Contents: “…7.1.3 Avanti RTVue XR (Optovue, Inc., Fremont, CA, USA) -- 7.1.4 3D OCT (Topcon Corporation, Tokyo, Japan) -- 7.2 Optic Nerve Head -- 7.2.1 Cirrus 6000 (Carl Zeiss Meditec AG, Jena, Germany) -- 7.2.2 Spectralis (Heidelberg Engineering, Inc., Heidelberg, Germany) -- 7.2.3 Avanti RTVue XR (Optovue, Inc., Fremont, CA, USA) -- 7.2.4 3D OCT (Topcon Corporation, Tokyo, Japan) -- 7.3 Macula -- 7.3.1 Cirrus 6000 (Carl Zeiss Meditec AG, Jena, Germany) -- 7.3.2 Spectralis (Heidelberg Engineering, Inc., Heidelberg, Germany) -- 7.3.3 Avanti RTVue XR (Optovue, Inc., Fremont, CA, USA) -- 7.3.4 3D OCT (Topcon Corporation, Tokyo, Japan) -- 7.4 Progression Analysis -- 7.4.1 Cirrus 6000 (Carl Zeiss Meditec AG, Jena, Germany) -- 7.4.2 Spectralis (Heidelberg Engineering, Inc., Heidelberg, Germany) -- 7.4.3 Avanti RTVue XR (Optovue, Inc., Fremont, CA, USA) -- 7.4.4 3D-OCT (Topcon Corporation, Tokyo, Japan) -- 8 Artifacts and Masqueraders -- 8.1 Incidence of Artifacts in OCT Imaging -- 8.2 Etiologies of Peripapillary RNFL OCT Artifacts -- 8.2.1 Artifacts from Errors in Scan Acquisition -- 8.2.2 Artifacts in Boundary Segmentation -- 8.2.3 Artifacts due to Ocular Pathology Unrelated to Glaucoma -- 8.2.4 Artifacts due to Differences in OCT Machines -- 8.3 Etiologies of ONH and Macula Artifacts -- 8.3.1 Bruch's Membrane Opening-Minimum Rim Width Artifacts -- 8.3.2 Macular Asymmetry Analysis Artifacts -- 8.4 OCT Diseases -- 8.4.1 Red Disease -- 8.4.2 Green Disease -- 8.5 A Relevant Summary of OCT Artifacts for Technicians -- 8.6 Future Directions -- 8.6.1 Three-Dimensional Parameters -- 8.6.2 OCT Angiography -- 9 Anterior Segment Optical Coherence Tomography in Glaucoma -- 9.1 Introduction to Anterior-Segment OCT -- 9.2 Different AS-OCT Modalities and Systems -- 9.3 AS-OCT Identification of Anterior Segment Structures and Parameters.…”
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  3. 143

    Cybernetic Intelligence

    Published 2005
    Table of Contents: “…Editorial advisory board; Preface; Editorial; Second-order cybernetics and enactive perception; Semantic category theory cognition and conceptual reference; Bipolar logic and probabilistic interpretation; Cooperative clans; Future reasoning machines: mind and body; Machine vision methods for autonomous micro-robotic systems; Optimisation enhancement using self-organising fuzzy control; Intelligent agents and distributed models for cooperative task support; Landscape classification and problem specific reasoning for genetic algorithms; Business cybernetics: a provocative suggestion.…”
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  4. 144

    Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

    Published 2018
    Table of Contents: “…Snowball stemming -- Lancaster stemming -- Lovins stemming -- Dawson stemming -- Lemmatization -- N-grams -- Feature extraction -- One hot encoding -- TF-IDF -- CountVectorizer -- Word2Vec -- CBOW -- Skip-Gram model -- Applying NLP techniques -- Text classification -- Introduction to Naive Bayes' algorithm -- Random Forest -- Naive Bayes' text classification code example -- Implementing sentiment analysis -- Frequently asked questions -- Summary -- Chapter 7: Fuzzy Systems -- Fuzzy logic fundamentals -- Fuzzy sets and membership functions -- Attributes and notations of crisp sets -- Operations on crisp sets -- Properties of crisp sets -- Fuzzification -- Defuzzification -- Defuzzification methods -- Fuzzy inference -- ANFIS network -- Adaptive network -- ANFIS architecture and hybrid learning algorithm -- Fuzzy C-means clustering -- NEFCLASS -- Frequently asked questions -- Summary -- Chapter 8: Genetic Programming -- Genetic algorithms structure -- KEEL framework -- Encog machine learning framework -- Encog development environment setup -- Encog API structure -- Introduction to the Weka framework -- Weka Explorer features -- Preprocess -- Classify -- Attribute search with genetic algorithms in Weka -- Frequently asked questions -- Summary -- Chapter 9: Swarm Intelligence -- Swarm intelligence -- Self-organization -- Stigmergy -- Division of labor -- Advantages of collective intelligent systems -- Design principles for developing SI systems -- The particle swarm optimization model -- PSO implementation considerations -- Ant colony optimization model -- MASON Library -- MASON Layered Architecture -- Opt4J library -- Applications in big data analytics -- Handling dynamical data -- Multi-objective optimization -- Frequently asked questions -- Summary -- Chapter 10: Reinforcement Learning -- Reinforcement learning algorithms concept.…”
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  5. 145

    Data Analytics Applied to the Mining Industry. by Soofastaei, Ali

    Published 2020
    Table of Contents: “…Advanced Data Analytics -- Introduction -- Big Data -- Analytics -- Deep Learning -- CNNs -- Deep Neural Network -- Recurrent Neural Network (RNN) -- ML -- Fuzzy Logic -- Classification Techniques -- Clustering -- Evolutionary Techniques -- Genetic Algorithms (GAs) -- Ant Colony Optimization (ACO)…”
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  6. 146

    Language engineering for lesser-studied languages

    Published 2009
    Table of Contents: “…Derzhanski -- Computational morphology for lesser-studied languages / Kemal Olfazer -- Practical syntastic processing of flexible word order languages with dynamic syntax / David Tugwell -- Computation field semantics : acquiring an ontological-semantic lexicon for a new language / Sergei Nirenburg and Marjorie McShane -- Applying machine translation for low- and middle-density languages / Stella Markantonatou [and others] -- Language resources for semitic languages : challenges and solutions / Shuly Wintner -- Low-density language strategies for Persian and Armenian / Karine Megerdoomian.…”
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    Electronic Conference Proceeding eBook
  7. 147

    Handbook of Computational Geometry. by Sack, J. R.

    Published 1999
    Table of Contents: “…Arrangements and their applications; Chapter 3. Discrete geometric shapes: Matching, interpolation, and approximation; Chapter 4. …”
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  8. 148

    The NURBS Book by Piegl, Les

    Published 1997
    Table of Contents: “…One Curve and Surface Basics -- 1.1 Implicit and Parametric Forms -- 1.2 Power Basis Form of a Curve -- 1.3 Bézier Curves -- 1.4 Rational Bézier Curves -- 1.5 Tensor Product Surfaces -- Exercises -- Two B-Spline Basis Functions -- 2.1 Introduction -- 2.2 Definition and Properties of B-spline Basis Functions -- 2.3 Derivatives of B-spline Basis Functions -- 2.4 Further Properties of the Basis Functions -- 2.5 Computational Algorithms -- Exercises -- Three B-spline Curves and Surfaces -- 3.1 Introduction -- 3.2 The Definition and Properties of B-spline Curves -- 3.3 The Derivatives of a B-spline Curve -- 3.4 Definition and Properties of B-spline Surfaces -- 3.5 Derivatives of a B-spline Surface -- Exercises -- Four Rational B-spline Curves and Surfaces -- 4.1 Introduction -- 4.2 Definition and Properties of NURBS Curves -- 4.3 Derivatives of a NURBS Curve -- 4.4 Definition and Properties of NURBS Surfaces -- 4.5 Derivatives of a NURBS Surface -- Exercises -- Five Fundamental Geometric Algorithms -- 5.1 Introduction -- 5.2 Knot Insertion -- 5.3 Knot Refinement -- 5.4 Knot Removal -- 5.5 Degree Elevation -- 5.6 Degree Reduction -- Exercises -- Six Advanced Geometric Algorithms -- 6.1 Point Inversion and Projection for Curves and Surfaces -- 6.2 Surface Tangent Vector Inversion -- 6.3 Transformations and Projections of Curves and Surfaces -- 6.4 Reparameterization of NURBS Curves and Surfaces -- 6.5 Curve and Surface Reversal -- 6.6 Conversion Between B-spline and Piecewise Power Basis Forms -- Exercises -- Seven Conics and Circles -- 7.1 Introduction -- 7.2 Various Forms for Representing Conics -- 7.3 The Quadratic Rational Bézier Arc -- 7.4 Infinite Control Points -- 7.5 Construction of Circles -- 7.6 Construction of Conies -- 7.7 Conic Type Classification and Form Conversion -- 7.8 Higher Order Circles -- Exercises -- Eight Construction of Common Surfaces -- 8.1 Introduction -- 8.2 Bilinear Surfaces -- 8.3 The General Cylinder -- 8.4 The Ruled Surface -- 8.5 The Surface of Revolution -- 8.6 Nonuniform Scaling of Surfaces -- 8.7 A Three-sided Spherical Surface -- Nine Curve and Surface Fitting -- 9.1 Introduction -- 9.2 Global Interpolation -- 9.3 Local Interpolation -- 9.4 Global Approximation -- 9.5 Local Approximation -- Exercises -- Ten Advanced Surface Construction Techniques -- 10.1 Introduction -- 10.2 Swung Surfaces -- 10.3 Skinned Surfaces -- 10.4 Swept Surfaces -- 10.5 Interpolation of a Bidirectional Curve Network -- 10.6 Coons Surfaces -- Eleven Shape Modification Tools -- 11.1 Introduction -- 11.2 Control Point Repositioning -- 11.3 Weight Modification -- 11.4 Shape Operators -- 11.5 Constraint-based Curve and Surface Shaping -- Twelve Standards and Data Exchange -- 12.1 Introduction -- 12.2 Knot Vectors -- 12.3 Nurbs Within the Standards -- 12.4 Data Exchange to and from a NURBS System -- Thirteen B-spline Programming Concepts -- 13.1 Introduction -- 13.2 Data Types and Portability -- 13.3 Data Structures -- 13.4 Memory Allocation -- 13.5 Error Control -- 13.6 Utility Routines -- 13.7 Arithmetic Routines -- 13.8 Example Programs -- 13.9 Additional Structures -- 13.10 System Structure -- References.…”
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  9. 149
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  11. 151

    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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  12. 152

    Agent-based computing

    Published 2010
    Table of Contents: “…Analysis of Algorithm -- 2.1.1. Chain-Like Agent Structure -- 2.1.2. …”
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  13. 153
  14. 154

    Theory of information : fundamentality, diversity and unification by Burgin, M. S. (Mark Semenovich)

    Published 2010
    Table of Contents: “…Algorithmic information theory based on recursive algorithms : recursive approach. 5.3. …”
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  15. 155

    Applied modelling, numerical simulation, computation and optimization. by De Souza Neto, Eduardo

    Published 2017
    Table of Contents: “…Modeling and control of an unbalanced magnetic rotor-bearing system asa bearingless motorNumerical simulation of the influence of particle shape on the mechanical properties of rockfill materials; Heat dissipation analysis of continuously-moving plate undergoing thermal processing using Laplace Adomian decomposition method; A shortcut algorithm for solving long-term conjugate heat transfer problems based on quasi-steady flow; Identification of plastic anisotropy using spherical indentation on different anisotropic yield criterions.…”
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  16. 156

    Firewall design and analysis by Liu, Alex X.

    Published 2011
    Table of Contents: “…Diverse firewall design. 3.1. Construction algorithm. 3.2. Shaping algorithm. 3.3. Comparison algorithm. 3.4. …”
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  17. 157

    Ivor Horton's beginning Visual C++ 2012 by Horton, Ivor

    Published 2012
    Table of Contents: “…Algorithms --…”
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  18. 158

    Future Farming. by Shukla, Praveen Kumar

    Published 2023
    Table of Contents: “…PROPOSED METHODOLOGY -- Pre-processing -- Leaf Image from Plants -- Segmentation Model Using Improved Canny Algorithm -- Steps of Improved Canny Algorithm -- Leaf Image Feature Selection Using Hybrid Black Widow Optimization Algorithm with Mayfly Optimization Algorithm (BWO-MA) -- Pseudo-Code of the Hybrid (BWO-MA) Algorithm -- Output: Objective Function's -RMSE -- Leaf Image Classification Using (BWO-MA) with ANN -- Hyper-Parameter Tuning With (BWO-MA) -- RESULT AND DISCUSSION -- Dataset Description -- Evaluation & Results -- CONCLUSION -- REFERENCES…”
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  19. 159

    Modern optimization methods for science, engineering and technology

    Published 2020
    Table of Contents: “…Implementing the traveling salesman problem using a modified ant colony optimization algorithm -- 5.1. ACO and candidate list -- 5.2. …”
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  20. 160

    Rough fuzzy image analysis : foundations and methodologies

    Published 2010
    Table of Contents: “…1. Cantor, fuzzy, near, and rough sets in image analysis / James F. …”
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