Search Results - (((((((want OR cantin) OR mantis) OR wind) OR cantor) OR anne) OR shape) OR hints) algorithms.

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

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New developments in lasers and electro-optics research

Table of Contents: “…Cho -- Shape detection by means of a laser line and approximation neural networks / J. …”
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Digital workflows in architecture : designing design -- designing assembly -- designing industry

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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Bridge health monitoring, maintenance and safety : special topic volume with invited peer reviewed papers only

Table of Contents: “…Modal test and analysis of a bridge under the varying temperature condition -- Bridge significant failure mode identification strategy under traffic-load -- Fatigue reliability analysis of the stay cables of cable-stayed bridge under combined loads of stochastic traffic and wind -- Updating the finite element model of a bridge model using a hybrid optimization method -- An improved Taguchi method and its application in finite element model updating of bridges -- Nonlinear seismic response analysis of half through CFST arch bridge under 3-D earthquake waves -- Simplified seismic response assessment method and parametric study of multi-girder skew bridges -- Seismic testing of a long-span concrete filled steel tubular arch bridge -- Study on finite element model of bridge multi-pile foundation -- Sensor optimal placement for bridge structure based on single parents genetic algorithm with different fitness functions.…”
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Pattern discovery in biomolecular data : tools, techniques, and applications

Table of Contents: “…Discovering patterns in DNA sequences by the algorithmic significance method / Aleksandar Milosavljevic -- Assembling blocks / Jorja G. …”
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Vision Geometry. by Melter, Robert A.

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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Advanced Analytics with R and Tableau. by Stirrup, Jen

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Principles of artificial neural networks by Graupe, Daniel

Table of Contents: “…Fundamentals of biological neural networks -- ch. 3. Basic principles of ANNs and their early structures. 3.1. Basic principles of ANN design. 3.2. …”
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Introduction to graph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

Table of Contents: “…What Is Mathematical Induction; 7.2. Graph Theory Algorithms and Their Complexity; 7.3. Answers and Hints to Selected Exercises; 7.4. …”
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In silico dreams : how artificial intelligence and biotechnology will create the medicines of the future by Hilbush, Brian

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Research Progress of Magnetic Levitating Bearings and Some Advanced Technology. by Xiping, Wang

Table of Contents: “…Magnetic Force Characteristics and Structure of a Novel Radial Hybrid Magnetic BearingMethod of Variable Parameter PID Control Applied for AMB System; Research on Adaptive Feedforward Control Algorithm of Electromagnetic Active Vibration Isolation System; Rotor Eddy Current Losses Analysis on BPMSM Using FEM; Self Adaptive Integral-Type Sliding Mode Control for Supporting Structure of a Magnetic Vertical Axis Wind Turbine; Sensorless Control of IPMSM Using Extended Flux Estimation Method; Sensorless Control of IPMSM Using Modified Current Slope Estimation Method…”
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Tsunamis : causes, characteristics, warnings and protection

Table of Contents: “…Model of Hydrogen Sulfide Down-Wind Dispersion""; ""8.4. Model Implementation""; ""8.4.1. …”
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Deep Learning Quick Reference : Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras. by Bernico, Michael

Table of Contents: “…Drawbacks to consider when using a neural network for regressionUsing deep neural networks for regression; How to plan a machine learning problem; Defining our example problem; Loading the dataset; Defining our cost function; Building an MLP in Keras; Input layer shape; Hidden layer shape; Output layer shape; Neural network architecture; Training the Keras model; Measuring the performance of our model; Building a deep neural network in Keras; Measuring the deep neural network performance; Tuning the model hyperparameters; Saving and loading a trained Keras model; Summary.…”
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Yacht modelling and adaptive control by Xiao, Chengmo

Table of Contents: “…LQR Self-tuning PD Control Algorithm; 4.2.2. LQR Self-tuning PID Control Algorithm.…”
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Comorbidity in migraine

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Slantwise moves : games, literature, and social invention in nineteenth-century America by Guerra, Douglas

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Cinder Creative Coding Cookbook. by Dawid Gorny, Rui Madeira

Table of Contents: “…Rendering and Texturing Particle SystemsIntroduction; Texturing particles; Adding a tail to our particles; Creating a cloth simulation; Texturing a cloth simulation; Texturing a particle system using point sprites and shaders; Connecting the dots; Connecting particles with spline; Using 2D Graphics; Drawing 2D geometric primitives; Drawing arbitrary shapes with the mouse; Implementing a scribbler algorithm; Implementing 2D metaballs; Animating text around curves; Adding a blur effect; Implementing a force-directed graph; Using 3D Graphics; Introduction; Drawing 3D geometric primitives.…”
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Vehicle & mechanical engineering and information technology : selected, peer reviewed papers from the 2012 International Conference on Vehicle & Mechanical Engineering and Informat...

Table of Contents: “…A Study on the Development of Micro Metal Gear with Outer Diameter of 500um Using MIM ProcessImpact of Wind Generation in the Generation Reliability Assessment; Assessment of Redundant Steel Structural Systems Considering Effects of Member Strength Variability on the System; Numerical Investigations of Different Seismic Retrofit Techniques for Flat-Slab Structures; EDA-Based Charging Algorithm for Plug-In Hybrid Electric Vehicle to Shift the Peak of Power Supply; Chapter 2: Advanced Technologies in Materials Science and Engineering.…”
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Solutions in lidar profiling of the atmosphere by Kovalev, Vladimir A.

Table of Contents: “…1.6.1 Algorithm and Solution Uncertainty1.6.2 Numerical Simulations and Experimental Data; 1.7 Examination of the Remaining Offset in the Backscatter Signal by~Analyzing the Shape of the Integrated Signal; 1.8 Issues in the Examination of the Lidar Overlap Function; 1.8.1 Influence of Distortions in the Lidar Signal when Determining the~Overlap Function; 1.8.2 Issues of Lidar Signal Inversion within the Incomplete Overlap Area; Chapter 2 Essentials and Issues in Separating the Backscatter and Transmission Terms in The Lidar Equation.…”
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Computational intelligence in aerospace sciences

Table of Contents: “…Guenov, Mrco Nunez, Arturo Molina-Cristóbal, Vis Sripawadkul, varun Datta and Atif Riaz ; Surrogate modeling in the service of multidisciplinary design / Stephen Powell and András Sóbester ; Multidisciplinary design optimization of aerospace transportation systems / Edmondo Minisci and Massimilliano Vasile -- Aerodynamics optimization: Aerodynamic shape design using evolutionary computation : a tutorial with examples and case studies / Domenico Quagliarella ; Multiobjective design optimization using Nash games / Jean-Antoine Désidéri and Régis Duvigneau ; Design rule extraction using multiobjective design exploration / Shigeru Obayashi -- Space trajectory design: Automated interplanetary mission planning / Jacob Englander and Bruce Conway ; On the global optimization of multigravity assist trajectories with evolutionary algorithms / Massimilliano Vasile and Edmondo Minisci, Marco Locatelli ; An incremental algorithm for the optimization of multiple gravity assist trajectories / Massimilliano Vasile, Matteo Ceriotti, Victor M. …”
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