Search Results - (((((((ant OR kkantis) OR wants) OR hints) OR cantor) OR anne) OR find) OR wkanting) algorithms.

Smart buildings, smart communities and demand response

Table of Contents: “…Demand Response in Smart Zero Energy Buildings and Grids / Nikos Kampelis -- DR in Smart and Near-zero Energy Buildings: The Leaf Community / Nikos Kampelis, Konstantinos Gobakis, Vagias Vagias, Denia Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro Muratore, Luca Venezia, Marina Kyprianou Dracou, Alaric Montenon, Andri Pyrgou, Theoni Karlessi, Mattheos Santamouris -- Performance of Industrial and Residential Near-zero Energy Buildings / Nikos Kampelis, Konstantinos Gobakis, Vagias Vagias, Denia Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro Muratore, Luca Venezia, Marina Kyprianou Dracou, Alaric Montenon, Andri Pyrgou, Theoni Karlessi, Mattheos Santamouris -- HVAC Optimization Genetic Algorithm for Industrial Near-Zero Energy Building Demand Response / Nikos Kampelis, Nikolaos Sifakis, Denia Kolokotsa, Konstantinos Gobakis, Konstantinos Kalaitzakis, Daniela Isidori, Cristina Cristalli -- Smart Grid/Community Load Shifting GA Optimization Based on Day-ahead ANN Power Predictions / Nikos Kampelis, Elisavet Tsekeri, Denia Kolokotsa, Konstantinos Kalaitzakis, Daniela Isidori, Cristina Cristalli -- Conclusions and Recommendations.…”
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Ranking the Liveability of the World's Major Cities : the Global Liveable Cities Index (GLCI). by Tan, Khee Giap

Table of Contents: “…2.2.3 Domestic Security & Stability2.2.4 Socio-Cultural Conditions; 2.2.5 Political Governance; 2.3 Selecting Indicators for the Global Liveable Cities Index: Ideal versus Practical; 2.4 Data Sources, Constraints & Proxies; 2.5 The Selection of Cities; 2.6 Computation of Rankings: The Algorithm; CHAPTER 3: THE EMPIRICAL FINDINGS AND POLICY SIMULATION; 3.1 Global Liveable Cities Index Ranking; 3.2 Policy Simulation; 3.3 Simulation Results; 3.4 Asian Liveable Cities Ranking; 3.5 Discussion of the Global Liveable Cities Index Ranking.…”
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Apache Spark for Data Science Cookbook. by Chitturi, Padma Priya

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Swift 2 design patterns : build robust and scalable iOS and Mac OS X game applications by Lange, Julien

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Nonlinear programming 4 : proceedings of the Nonlinear Programming Symposium 4

Table of Contents: “…3. algorithmic considerations4. application to polynomial minimization; 5. effects of calculation errors; 6. comment; references; chapter 10. on a bundle algorithmfor nonsmooth optimization; abstract; 1. introduction; 2. the algorithm without constraints; 3. linearly constrained problems; appendix; references; chapter 11. convergence results in a class ofvariable metric subgradient methods1; abstract; 1. introduction; 2. examples; 3. a class of variable metric subgradient optimizationmethods; 4. various methods; 5. behaviour on systems of linear equalities and onquadratics; 6. experiments.…”
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Oracle Primavera P6 version 8 : project and portfolio management : a comprehensive guide to managing projects, resources, and portfolios using Primavera P6, through version 8.2 by Williams, Daniel L.

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Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications by Lantz, Brett

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Handbook of Dermatology : a Practical Manual. by Mann, Margaret W.

Table of Contents: “…Large vessel vasculitisCryoglobulinemia; Bullous Disorders; Intracorneal/subcorneal; Intraepidermal; Suprabasilar; Subepidermal with little inflammation; Subepidermal with lymphocytes; Subepidermal with eosinophils; Subepidermal with neutrophils; Subepidermal with mast cells; Epidermolysis bullosa; Major bullous diseases -- clinicopathologic findings; Complement; Angioedema and complement levels; Complement deficiencies; GVHD (Graft vs. …”
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Haskell data analysis cookbook : explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes by Shukla, Nishant, 1992-

Table of Contents: “…Computing the Euclidean distanceComparing scaled data using the Pearson correlation coefficient; Comparing sparse data using cosine similarity; Chapter 3: The Science of Words; Introduction; Displaying a number in another base; Reading a number from another base; Searching for a substring using Data.ByteString; Searching a string using the Boyer-Moore-Horspool algorithm; Searching a string using the Rabin-Karp algorithm; Splitting a string on lines, words, or arbitrary tokens; Finding the longest common subsequence; Computing a phonetic code; Computing the edit distance…”
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Inside jokes : using humor to reverse-engineer the mind by Hurley, Matthew M., 1977-

Table of Contents: “…Emotion and computation -- Finding the funny bone -- Does logic or emotion organize our brains? …”
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Quantification and Optimisation of Lung Ventilation SPECT Images. by Norberg, Pernilla

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Inflectionary Invariants for Isolated Complete Intersection Curve Singularities. by Patel, Anand P., Swaminathan, Ashvin A.

Table of Contents: “…The Case of Cusps -- 5.2. An Algorithm for Finding a Basis of ^{ }( )^{∨} -- 5.3. …”
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Effective Amazon Machine Learning. by Perrier, Alexis

Table of Contents: “…Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Introduction to Machine Learning and Predictive Analytics; Introducing Amazon Machine Learning; Machine Learning as a Service; Leveraging full AWS integration; Comparing performances; Engineering data versus model variety; Amazon's expertise and the gradient descent algorithm; Pricing; Understanding predictive analytics; Building the simplest predictive analytics algorithm; Regression versus classification.…”
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Artificial Neural Network Applications for Software Reliability Prediction. by Bisi, Manjubala

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Statistical models of shape : optimisation and evaluation by Davies, Rhodri (Rhodri H.)

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Big data, data mining and machine learning : value creation for business leaders and practitioners by Dean, Jared, 1978-

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Artificial intelligent techniques for electric and hybrid electric vehicles

Table of Contents: “…2.6 PID Controller -- 2.7 Fuzzy Control -- 2.8 Auto-Tuning Type Fuzzy PID Controller -- 2.9 Genetic Algorithm -- 2.10 Artificial Neural Network-Based Controller -- 2.11 BLDC Motor Speed Controller With ANN-Based PID Controller -- 2.11.1 PID Controller-Based on Neuro Action -- 2.11.2 ANN-Based on PID Controller -- 2.12 Analysis of Different Speed Controllers -- 2.13 Conclusion -- References -- Chapter 3 Optimization Techniques Used in Active Magnetic Bearing System for Electric Vehicles -- 3.1 Introduction -- 3.2 Basic Components of an Active Magnetic Bearing (AMB) -- 3.2.1 Electromagnet Actuator…”
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Fast sequential Monte Carlo methods for counting and optimization by Rubinstein, Reuven Y.

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Numerical linear algebra with applications : using MATLAB by Ford, William H.

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Numerical models for submerged breakwaters : coastal hydrodynamics and morphodynamics by Ahmadian, Amir Sharif

Table of Contents: “…3 Literature Review and BackgroundReferences; 4 Theories and Methodologies; 4.1 Introduction; 4.2 Traditional Models for Water Waves; 4.3 New Approaches; 4.3.1 Meshless Methods; 4.3.2 Artificial Intelligence Methods; MLP Networks; Back-Propagation Algorithm; Levenberg-Marquardt Algorithm; RBF Networks; References; 5 Mathematical Modeling and Algorithm Development; 5.1 Navier-Stokes Equations; 5.2 The Turbulent Model; 5.3 Initial and Boundary Conditions; 5.4 Shallow Waters; 5.5 The Extended Mild-Slope Equation; 5.6 Boussinesq Equations; 5.7 Smoothed Particles Hydrodynamics.…”
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