Search Results - (((((((kant OR wanti) OR mantis) OR when) OR cantor) OR anne) OR shared) OR hints) algorithms.

Advanced wireless networks : technology and business models by Glisic, Savo G.

Table of Contents: “…16.1 Introduction 523 -- 16.2 Layering as Optimization Decomposition 524 -- 16.3 Cross-Layer Optimization 533 -- 16.4 Optimization Problem Decomposition Methods 543 -- References 554 -- 17 Network Information Theory 557 -- 17.1 Capacity of Ad Hoc Networks 557 -- 17.2 Information Theory and Network Architectures 569 -- 17.3 Cooperative Transmission in Wireless Multihop Ad Hoc Networks 577 -- References 584 -- 18 Stability of Advanced Network Architectures 585 -- 18.1 Stability of Cooperative Cognitive Wireless Networks 585 -- 18.2 System Model 586 -- 18.4 Optimal Control Policy 592 -- 18.5 Achievable Rates 594 -- 18.6 Stabilizing Transmission Policies 598 -- References 605 -- 19 Multi-Operator Spectrum Sharing 607 -- 19.1 Business Models for Spectrum Sharing 607 -- 19.2 Spectrum Sharing in Multi-hop Networks 638 -- References 656 -- 20 Large Scale Networks and Mean Field Theory 659 -- 20.1 MFT for Large Heterogeneous Cellular Networks 659 -- 20.2 Large Scale Network Model Compression 664 -- 20.3 Mean Field Theory Model of Large Scale DTN Networks 668 -- 20.4 Mean Field Modeling of Adaptive Infection Recovery in Multicast DTN Networks 674 -- 20.5 Mean Field Theory for Scale-Free Random Networks 701 -- 20.6 Spectrum Sharing and MFT 709 -- 20.7 Modeling Dynamics of Complex System 711 -- Appendix A.20 Iterative Algorithm to Solve Systems of Nonlinear ODEs (DiNSE-Algorithm) 721 -- Appendix B.20 Infection Rate of Destinations for DNCM 722 -- Appendix C.20 Infection Rate for Basic Epidemic Routing 722 -- References 722 -- 21 mmWave Networks 726 -- 21.1 mmWave Technology in Subcellular Architecture 726 -- 21.2 Microeconomics of Dynamic mmWave Networks 737 -- References 747 -- 22 Cloud Computing in Wireless Networks 750 -- 22.1 Technology Background 750 -- 22.2 System Model 752 -- 22.3 System Optimization 756 -- 22.4 Dynamic Control Algorithm 758 -- 22.5 Achievable Rates 761 -- 22.6 Stabilizing Control Policies 763 -- References 769 -- 23 Wireless Networks and Matching Theory 771.…”
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Fundamentals of patenting and licensing for scientists and engineers by Ma, Matthew Y.

Table of Contents: “…When final rejection is received. 8.9. Appeal. 8.10. …”
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Understanding large temporal networks and spatial networks : exploration, pattern searching, visualization and network evolution by Batagelj, Vladimir, 1948-

Table of Contents: “…Spanish Algorithms -- 3.8.4.A Sparse Network Algorithm -- 3.9. …”
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Data and Application Security : Developments and Directions by Thuraisingham, Bhavani M.

Table of Contents: “…Protecting Information when Access is Granted for Collaboration -- Author-?…”
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Reconfigurable computing : the theory and practice of FPGA-based computation

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Practical Strategies in Geriatric Mental Health : Cases and Approaches. by Dunn, Laura B.

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Data mining for the social sciences : an introduction by Attewell, Paul A., 1949-, Monaghan, David B., 1988-

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Debates in the digital humanities 2016

Table of Contents: “…Father Busa Female Punch Card Operatives / Melissa Terras and Julianne Nyhan -- On the Origin of "Hack" and "Yack" / Bethany Nowviskie -- Reflections on a Movement: #transformDH, Growing Up / Moya Bailey, Anne Cong-Huyen, Alexis Lothian, and Amanda Phillips.…”
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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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Machine learning for the web by Isoni, Andrea

Table of Contents: “…Preface; Introduction to Practical Machine Learning Using Python; General machine-learning concepts; Machine-learning example; Installing and importing a module (library); Preparing, manipulating and visualizing data -- NumPy, pandas and matplotlib tutorials; Using NumPy; Arrays creation; Array manipulations; Array operations; Linear algebra operations; Statistics and mathematical functions; Understanding the pandas module; Exploring data; Manipulate data; Matplotlib tutorial; Scientific libraries used in the book; When to use machine learning; Summary; Unsupervised Machine Learning.…”
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Test driven development in Ruby : a practical introduction to TDD using problem and solution domain analysis by Paranj, Bala

Table of Contents: “…Problem Domain AnalysisSolution Domain Analysis; Alternative Representations; Divide and Conquer Strategy; Designing Test Cases; Sum a List of Numbers; Sequence of Test Cases; Starter Test; Next Test ; Story Test ; Assertion; Test Driving Calculator; Canonical Test Structure; Given; When; Then; Arrange, Act, Assert; Calculator; Addition; Subtraction; Common Mistakes; Common Mistakes in the TDD Cycle; Mistakes in Step One; Mistakes in Step Two; Mistakes in Step Three; Mistakes in Step Four; Mistakes in Step Five; Base Conversion; Problem Statement; Problem Domain Analysis.…”
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Foreign exchange: the complete deal : a comprehensive guide to the theory and practice of the forex market by Sharpe, James

Table of Contents: “…When liquidity disappears -- The carry trade and Torschlusspanik (door shut panic) -- 12. …”
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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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Emerging engineering approaches and applications : selected, peer reviewed papers from the 2011 International Conference on Information Engineering for Mechanics and Materials, Aug...

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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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Advanced reliability modeling : part II

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Environmental modeling with GIS

Table of Contents: “…Mapping of the Dust Emission Sources -- 6.2. Sharing Data between Dispersion Modeling Tools and GIS -- 6.3. …”
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Advanced Artificial Intelligence.

Table of Contents: “…3.9 Influence-based Backjumping3.10 Constraint Relation Processing; 3.10.1 Unit Sharing Strategy for Identical Relation; 3.10.2 Interval Propagation; 3.10.3 Inequality Graph; 3.10.4 Inequality Reasoning; 3.11 Constraint Reasoning System COPS; 3.12 ILOG Solver; Exercise; Chapter 4 Qualitative Reasoning; 4.1 Introduction; 4.2 Basic approaches in qualitative reasoning; 4.3 Qualitative Model; 4.4 Qualitative Process; 4.5 Qualitative Simulation Reasoning; 4.5.1 Qualitative state transformation; 4.5.2 QSIM algorithm; 4.6 Algebra Approach; 4.7 Spatial Geometric Qualitative Reasoning.…”
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W.C. McKern and the Midwestern Taxonomic Method by Lyman, R. Lee

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Professional Practice in Paramedic, Emergency and Urgent Care. by Nixon, Valerie

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