Search Results - (((((((ant OR want) OR mkkantis) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

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  1. 281
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    Fundamentals of Parallel Computing. by Razdan, Sanjay

    Published 2014
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  3. 283

    Optimization and Inverse Problems in Electromagnetism. by Salvini, Alessandro

    Published 2018
    Table of Contents: “…Cover; EDITORIAL ADVISORY BOARD; Analytical and numerical models of the magnetoacoustic tomography with magnetic induction; Application of PSO and TLBO algorithms with neural network for optimal design of electrical machines; Comparison of three space mapping techniques on electromagnetic design optimization; Optimal shape design of multi layered IPMSM using adaptive dynamic Taylor Kriging model; Design by optimization of controlled static converters with EMC filters in aeronautics.…”
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  4. 284

    Learning concurrency in Kotlin : build highly efficient and robust applications by Castiblanco Torres, Miguel Angel

    Published 2018
    Table of Contents: “…; Processes, threads, and coroutines; Processes; Threads; Coroutines; Putting things together; Introduction to concurrency; Concurrency is not parallelism; CPU-bound and I/O-bound; CPU-bound; I/O-bound; Concurrency versus parallelism in CPU-bound algorithms; Single-core execution; Parallel execution; Concurrency versus parallelism in I/O-bound algorithms; Why concurrency is often feared; Race conditions; Atomicity violation; Deadlocks; Livelocks…”
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    Active Spanwise Lift Control. by Dias, Joaquim Neto

    Published 2020
    Table of Contents: “…4.4 Physical Interpretation of Aerodynamic Modes -- 4.5 Effects of Varying Wing Planform on the Mode Shapes and Eigenvalues -- 4.6 Chapter Summary -- Chapter 5: Spatial Control of Spanwise Lift Distribution -- 5.1 Model Output Expansion into Mode Shapes -- 5.2 Threshold for Model Truncation -- 5.3 Spatial-Temporal Controller Synthesis -- 5.4 Shape Control Problem -- 5.5 Gust Load Alleviation Problem -- 5.6 Gust Load Alleviation Problem with Gust Estimation -- 5.7 Chapter Summary -- 5.8 Future Developments of This Methodology -- Appendix A -- References -- Index -- Supporting Materials…”
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  7. 287

    Electromechanical and systems engineering : selected, peer reviewed papers from the 5th International Congress of Electromechanical and Systems Engineering, 10th-14th November 2008...

    Published 2009
    Table of Contents: “…Theoretical and Experimental Analysis of Turbulent Liquid Film Flowing down a Vertical Surface -- Study of Flow over a Step Cylinder -- Experimental Study of Water Filtering Using Textiles as in Traditional Methods -- Laminar Flow through a Rectangular Horizontal Channel with Asymmetrical Contraction -- Influence of the Alignment of Two Airfoils in the Losses Generation -- Inverse Heat Transfer Using Levenberg-Marquardt and Particle Swarm Optimization Methods for Heat Source Estimation -- Effect of Maximum Temperature and Heating-Cooling Repeated Cycles on Thermal Contact Resistance of a Composite Tube -- Pneumatic Artificial Mini-Muscles Conception: Medical Robotics Applications -- Synthesis Optimization of Planar Mechanisms -- Resolution of a 3 RRR Planar Parallel Mechanism -- Synthesis of 4C Mechanism for Generation of a Dual Mathematic Function -- Trajectory Generation of Robot Manipulators Using an Artificial Potential Function and Genetic Algorithms -- Stress and Vibration Analysis of a Lathe Bed Made of Aluminum-Copper Alloy for High Speed Machining -- Model Derivation and Numerical Simulation for a Pivoted Rigid Rotor-Bearing System -- Algorithm for Estimating Natural Frequencies and Mode Shapes of Cantilever MEMS Microbeams -- Tensile Strength of Fibers Extracted from the Leaves of the angustifolia Haw Agave in Function of their Length -- Assessment of the Crack Compliance Method and the Introduction of Residual Stresses by Shot Peening Using the Finite Element Method -- Fractal Analysis of the Solar Radiation in Mexico City -- Fractal Analysis of Tissue Biocompatible Neuroreservoir -- Fractal Analysis of EEG Signals in the Brain of Epileptic Rats, with and without Biocompatible Implanted Neuroreservoirs -- Parametric Analysis of Perfect Matched Layer Model of Finite Difference Time Domain Method.…”
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    Electronic Conference Proceeding eBook
  8. 288

    Design in Crisis : New Worlds, Philosophies and Practices. by Fry, Tony

    Published 2020
    Table of Contents: “…Sacrifices that do not work in a crisis -- 3. When design goes south: from decoloniality, through declassification to dessobons -- 4. …”
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  9. 289

    Probabilistic finite element model updating using Bayesian statistics : applications to aeronautical and mechanical engineering by Marwala, Tshilidzi, 1971-, Boulkaibet, Ilyes, 1981-, Adhikari, Sondipon

    Published 2016
    Table of Contents: “…3.8.2 Markov Chain Monte Carlo Method3.8.3 Simulated Annealing; 3.8.4 Gibbs Sampling; 3.9 Comparison between Approaches; 3.9.1 Numerical Example; 3.10 Conclusions; References; Chapter 4 Metropolis-Hastings and Slice Sampling for Finite Element Updating ; 4.1 Introduction; 4.2 Likelihood, Prior and the Posterior Functions; 4.3 The Metropolis-Hastings Algorithm; 4.4 The Slice Sampling Algorithm; 4.5 Statistical Measures; 4.6 Application 1: Cantilevered Beam; 4.7 Application 2: Asymmetrical H-Shaped Structure; 4.8 Conclusions; References.…”
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  10. 290

    Natural language processing with TensorFlow : teach language to machines using Python's deep learning library by Ganegedara, Thushan

    Published 2018
    Table of Contents: “…Implementing skip-gram with TensorFlowThe Continuous Bag-of-Words algorithm; Implementing CBOW in TensorFlow; Summary; Chapter 4: Advanced Word2vec; The original skip-gram algorithm; Implementing the original skip-gram algorithm; Comparing the original skip-gram with the improved skip-gram; Comparing skip-gram with CBOW; Performance comparison; Which is the winner, skip-gram or CBOW?…”
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  11. 291

    Versatile Video Coding by Dominguez, Humberto Ochoa

    Published 2019
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  12. 292

    Advances in time series forecasting. Volume 2

    Published 2017
    Table of Contents: “…INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. …”
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    Mastering D3.js. by Castillo, Pablo Navarro

    Published 2014
    Table of Contents: “…Updating the datasetFixing the enter and exit transitions; Using the barcode chart; Creating a layout algorithm; The radial layout; Computing the angles; Using the layout; Summary; Chapter 3: Creating Visualizations without SVG; SVG support in the browser market; Visualizations without SVG; Loading and sorting the data; The force layout method; Setting the color and size; Creating a legend; Polyfilling; Feature detection; The canvg example; Using canvas and D3; Creating figures with canvas; Creating shapes; Integrating canvas and D3; Summary; Chapter 4: Creating a Color Picker with D3.…”
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    PRINCIPLES OF QUANTUM ARTIFICIAL INTELLIGENCE. by Wichert, Andreas

    Published 2013
    Table of Contents: “…Computation; 2.1 Entscheidungsproblem; 2.1.1 Cantor's diagonal argument; 2.1.2 Reductio ad absurdum; 2.2 Complexity Theory; 2.2.1 Decision problems; 2.2.2 P and NP; 2.3 Church-Turing Thesis; 2.3.1 Church-Turing-Deutsch principle; 2.4 Computers; 2.4.1 Analog computers; 2.4.2 Digital computers; 2.4.3 Von Neumann architecture; 3. …”
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    Data mining techniques : for marketing, sales, and customer relationship management by Linoff, Gordon, Berry, Michael J. A.

    Published 2011
    Table of Contents: “…-- Data mining applications in marketing and customer relationship management -- The data mining process -- Statistics 101: What you should know about data -- Descriptions and prediction: profiling and predictive modeling -- Data mining using classic statistical techniques -- Decision trees -- Artificail neural networks -- Nearest neighbor approaches: Memory-based reasoning and collaborative filtering -- Knowing when to worry: Using survival analysis to understand customers -- Genetic algorithms and swarm intelligence -- Tell me something new: Pattern discovery and data mining -- Finding islands of similarity: Automatic cluster detection -- Alternative approaches to cluster detection -- Market basket analysis and association rules -- Link analysis -- Data warehousing, OLAP, analytic sandboxes, and data mining -- Building customer signatures -- Derived variables: Making the data mean more -- Too much of a good thing? …”
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  20. 300

    Pulmonary arterial hypertension : diagnosis and evidence-based treatment

    Published 2008
    Table of Contents: “…Combination therapy in pulmonary arterial hypertension / Anne Keogh and Marius Hoeper -- Interventional and surgical modalities of treatment for pulmonary arterial hypertension / Julio Sandoval and Ramona Doyle -- End points and clinical trial design in pulmonary arterial hypertension : clinical and regulatory perspectives / Andrew J. …”
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