Search Results - (((((((ken OR wants) OR canton) OR markant) OR cantor) OR anne) OR shared) OR hints) algorithms.

OpenCV Android Programming By Example. by Muhammad, Amgad

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Apache Spark for Data Science Cookbook. by Chitturi, Padma Priya

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AI and human thought and emotion by Freed, Sam (Philosophy professor)

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Cinder Creative Coding Cookbook. by Dawid Gorny, Rui Madeira

Table of Contents: “…Creating a simple video controllerSaving window content as an image; Saving window animations as video; Saving window content as a vector graphics image; Saving high resolution images with the tile renderer; Sharing graphics between applications; Building Particle Systems; Introduction; Creating a particle system in 2D; Applying repulsion and attraction forces; Simulating particles flying in the wind; Simulating flocking behavior; Making our particles sound reactive; Aligning particles to a processed image; Aligning particles to the mesh surface; Creating springs.…”
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Principles of Quantum Computation and Information, Volume I : Basic Concepts. by Casati, Giulio, Strini, Giuliano

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Frontiers of Artificial Intelligence in Medical Imaging. by Razmjooy, Navid

Table of Contents: “…5.5 Electromagnetic field optimization algorithm -- 5.6 Developed electromagnetic field optimization algorithm -- 5.7 Simulation results -- 5.7.1 Image acquisition -- 5.7.2 Pre-processing stage -- 5.7.3 Processing stage -- 5.7.4 Classification -- 5.8 Final evaluation -- 5.9 Conclusions -- References -- Chapter 6 Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation -- 6.1 Introduction -- 6.2 Context -- 6.3 Methodology -- 6.3.1 COVID-19 database -- 6.3.2 Image conversion and pre-processing -- 6.3.3 Image thresholding…”
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Proceedings of the 2009 International Conference on Computer and Network Technology, Chennai, India, 24-26 July 2009

Table of Contents: “…An Ownership Sharing Protocol for RFID without a Trusted Third Party G. …”
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FRBR, before and after : a look at our bibliographic models by Coyle, Karen

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Machine Learning with Swift : Artificial Intelligence for iOS. by Sosnovshchenko, Oleksandr

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Signal processing for cognitive radios by Jayaweera, Sudharman K., 1972-

Table of Contents: “…8.1 INTRODUCTION8.2 K-MEANS CLASSIFICATION ALGORITHM; 8.3 X-MEANS CLASSIFICATION ALGORITHM; 8.4 DIRICHLET PROCESS MIXTURE MODEL; 8.5 BAYESIAN NONPARAMETRIC CLASSIFICATION BASED ON THE DPMM AND THE GIBBS SAMPLING; 8.6 SUMMARY; PART III: SIGNAL PROCESSING IN COGNITIVE RADIOS; 9 WIDEBAND SPECTRUM SENSING; 9.1 INTRODUCTION; 9.2 WIDEBAND SPECTRUM SENSING PROBLEM; 9.3 WIDEBAND SPECTRUM SCANNING PROBLEM; 9.4 SPECTRUM SEGMENTATION AND SUBBANDING; 9.5 WIDEBAND SPECTRUM SENSING RECEIVER; 9.6 SUBBAND SELECTION PROBLEM IN WIDEBAND SPECTRUM SENSING.…”
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Advances in Computers, Electronics and Mechatronics : Selected, Peer Reviewed Papers from the 2014 International Forum on Computers, Electronics and Mechatronics (IFCEM 2014), Augu...

Table of Contents: “…Similarity Measure between Vague Sets Based on ProductsThe Decision-Making Method of Web Services Composition Based on Action Patterns of Open Fuzzy Petri Net; Barcode-Based Service-Oriented Material Flow Technology for Complex Product Assembly; Research on the Influence of Combination Information-Sharing on Supply Chain Performance; Design of Logistics Management System Based on Workflow; Research on the Change of Automobile Marketing Mode with Development of Mobile Internet.…”
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Mastering mobile learning

Table of Contents: “…Mastering Mobile Learning: Tips and Techniques for Success; Copyright; Contents; Foreword; Preface; Introduction; Part 1: Understanding Mobile Learning; Chapter 1: Enterprise Mobile Learning: A Primer; Business Drivers of Mobile Learning; The Mobile Learning Ecosystem; Mobile Learning Applications; Content Transmission and Retrieval; Capturing Data; Communicating and Interacting with Others; Computing Algorithms; Contextual Inquiry; Designing and Creating Mobile Learning Content; Chapter 2: The Seven Shifts in Enterprise Learning; 1. …”
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Advanced deep learning with R : become an expert at designing, building, and improving advanced neural network models using R by Rai, Bharatendra K.

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Power and energy systems III : selected, peer reviewed papers from the 2013 3rd International Conference on Power and Energy Systems (ICPES 2013), November 23-24, Bangkok, Thailand

Table of Contents: “…Appropriate Electric Energy Conservation Measures for Big Mosques in Riyadh CityBayesian Algorithm Based on Airborne Power Supply System; Study on the Cooling System of Super-Capacitors for Hybrid Electric Vehicle; A Charging Management of Electric Vehicles Based on Campus Survey Data; Back-EMF Position Detection Technology for Brushless DC Motor; Stress State of Turbine Blade Root and Rim Considering Manufacturing Variations; Analysis on a Gas Turbine Sealing Disk Structure and Material Strength; A Kind of Adjustable Electric Heating Pipe Power Electrode Preparation Equipment.…”
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Applied mechatronics and android robotics : selected, peer reviewed papers from the International Conference on Applied Mechatronics and Android Robotics (ICAMAR 2013), July 13-14,...

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MATLAB for Machine Learning. by Ciaburro, Giuseppe

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Frontiers In The Study Of Chaotic Dynamical Systems With Open Problems.

Table of Contents: “…Preface; Contents; Chapter 1 Problems with Lorenz's Modeling and the Algorithm of Chaos Doctrine; 1.1. Introduction; 1.2. …”
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Smart data pricing

Table of Contents: “…6.6 Day-Ahead Dynamic TDP6.7 Perspectives of Internet Ecosystem Stakeholders -- 6.8 Lessons From Day-Ahead Dynamic TDP Field Trials -- 6.9 Discussions And Conclusions -- Acknowledgments -- References -- III: Usage-Based Pricing -- Chapter 7: Quantifying the Costs of Customers for Usage-Based Pricing -- 7.1 Introduction -- 7.2 The Cost of a Customer in a Network -- 7.3 Discrepancy, The Metric of Comparing Different Cost-Sharing Policies -- 7.4 How Do We Compute the Costs of the Customers? …”
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Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects by Fort, Karen

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Mathematical Methods in Interdisciplinary Sciences. by Chakraverty, Snehashish

Table of Contents: “…1.2.2.1 Architecture of Single-Layer LgNN Model -- 1.2.2.2 Training Algorithm of Laguerre Neural Network (LgNN) -- 1.2.2.3 Gradient Computation of LgNN -- 1.3 Methodology for Solving a System of Fredholm Integral Equations of Second Kind -- 1.3.1 Algorithm -- 1.4 Numerical Examples and Discussion -- 1.4.1 Differential Equations and Applications -- 1.4.2 Integral Equations -- 1.5 Conclusion -- References -- Chapter 2 Deep Learning in Population Genetics: Prediction and Explanation of Selection of a Population -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Dataset Description…”
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