Search Results - (((((((ant OR kwansa) OR wants) OR markant) OR cantor) OR anne) OR share) OR hints) algorithms.

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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The spirit of the hive : the mechanisms of social evolution by Page, Robert E.

Table of Contents: “…Queen and worker phenotypes -- 8.2. Nurses and larvae share developmental programs -- 8.3. Developmental signatures of colony-level artificial selection -- 8.4. …”
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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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MATLAB for Machine Learning. by Ciaburro, Giuseppe

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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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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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Machine Learning for Asset Management New Developments and Financial Applications

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Blockchain and the Digital Economy : The Socio-Economic Impact of Blockchain Technology. by Steinmetz, Fred

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Arithmetic, Geometry, Cryptography and Coding Theory. by Bassa, Alp

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Ranking the Liveability of the World's Major Cities : the Global Liveable Cities Index (GLCI). by Tan, Khee Giap

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FX barrier options : a comprehensive guide for industry quants by Dadachanji, Zareer

Table of Contents: “…Stupid; 4.10 Five things we want from a model; 4.11 Stochastic volatility (SV) models; 4.11.1 SABR model; 4.11.2 Heston model; 4.12 Mixed local/stochastic volatility (lsv) models; 4.12.1 Term structure of volatility of volatility; 4.13 Other models and methods; 4.13.1 Uncertain Volatility (UV) models; 4.13.2 Jump-diffusion models; 4.13.3 Vanna-volga methods; 5 Smile Risk Management; 5.1 Black-Scholes with term structure; 5.2 Local volatility model; 5.3 Spot risk under smile models; 5.4 Theta risk under smile models; 5.5 Mixed local/stochastic volatility models; 5.6 Static hedging; 5.7 Managing risk across businesses; 6 Numerical Methods; 6.1 Finite-difference (FD) methods; 6.1.1 Grid geometry; 6.1.2 Finite-difference schemes; 6.2 Monte Carlo (MC) methods; 6.2.1 Monte Carlo schedules; 6.2.2 Monte Carlo algorithms; 6.2.3 Variance reduction; 6.2.4 The Brownian Bridge; 6.2.5 Early…”
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PHealth 2017 : proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 14-16 May 2017, Eindhoven, the Netherlands

Table of Contents: “…Information System of Personalized Patient's Adherence Level DeterminationSmartphones to Access to Patient Data in Hospital Settings: Authentication Solutions for Shared Devices; pHealth and Population Health; Architecture for Variable Data Entry into a National Registry; Patient Summaries in Context of Large Scale EHR Networks with Fine Granular Access Control Restrictions; Behavioral Aspects; Classifying Drivers' Cognitive Load Using EEG Signals; Open Dataset for the Automatic Recognition of Sedentary Behaviors.…”
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Informatics and technology in clinical care and public health

Table of Contents: “…Intro -- Title Page -- Preface -- ICIMTH 2021 Scientific Programme Committee and Reviewers -- Contents -- Using Artificial Intelligence to Develop a Lexicon-Based African American Tweet Detection Algorithm to Inform Culturally Sensitive Twitter-Based Social Support Interventions for African American Dementia Caregivers -- A Comparison of Word Embeddings to Study Complications in Neurosurgery -- Gulf Cooperation Council Clinical Trials in the Pursuit of Medications for COVID-19…”
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The neural basis of free will : criterial causation by Tse, Peter

Table of Contents: “…-- Iconic versus Working Memory -- Stage 1 Qualia as Precompiled Informational Outputs of Preconscious Operations -- Qualia as a Shared Format for Endogenous Attentional Operations -- Experience Is for Endogenously Attending, Doing, and Planning -- Volitional Attentional Tracking Requires Consciousness -- If an Animal Can Attentionally Track, Is it Conscious? …”
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Model Building in Mathematical Programming. by Williams, H. Paul

Table of Contents: “…Intro -- Title Page -- Copyright -- Dedication -- Preface -- Preface to the Fifth Edition -- Part I -- Chapter 1: Introduction -- 1.1 The concept of a model -- 1.2 Mathematical programming models -- Chapter 2: Solving mathematical programming models -- 2.1 Algorithms and packages -- 2.2 Practical considerations -- 2.3 Decision support and expert systems -- 2.4 Constraint programming (CP) -- Chapter 3: Building linear programming models -- 3.1 The importance of linearity -- 3.2 Defining objectives -- 3.3 Defining constraints -- 3.4 How to build a good model…”
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Multi-processor system-on-chip. 1, Architectures

Table of Contents: “…Matrix multiplication algorithm on the Plural architecture…”
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Biological computation by Lamm, Ehud

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