Search Results - ("algorithm" OR "algorithms")

Wear of Polymers and Composites. by Abdelbary, Ahmed

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Facial volumization : an anatomic approach

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Optimization techniques II : discrete and functional optimization by Cerf, Max

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The next economic disaster : why it's coming and how to avoid it by Vague, Richard

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Image processing and jump regression analysis by Qiu, Peihua, 1965-

Table of Contents: “…Cover -- Contents -- Preface -- 1 Introduction -- 1.1 Images and image representation -- 1.2 Regression curves and sugaces with jumps -- 1.3 Edge detection, image restoration, and jump regression analysis -- 1.4 Statistical process control and some other related topics -- 1.5 Organization of the book -- Problems -- 2 Basic Statistical Concepts and Conventional Smoothing Techniques -- 2.1 Introduction -- 2.2 Some basic statistical concepts and terminologies -- 2.2.1 Populations, samples, and distributions -- 2.2.2 Point estimation of population parameters -- 2.2.3 Confidence intervals and hypothesis testing -- 2.2.4 Maximum likelihood estimation and least squares estimation -- 2.3 Nadaraya- Watson and other kernel smoothing techniques -- 2.3.1 Univariate kernel estimators -- 2.3.2 Some statistical properties of kernel estimators -- 2.3.3 Multivariate kernel estimators -- 2.4 Local polynomial kernel smoothing techniques -- 2.4.1 Univariate local polynomial kernel estimators -- 2.4.2 Some statistical properties -- 2.4.3 Multivariate local polynomial kernel estimators -- 2.4.4 Bandwidth selection -- 2.5 Spline smoothing procedures -- 2.5.1 Univariate smoothing spline estimation -- 2.5.2 Selection of the smoothing parameter -- 2.5.3 Multivariate smoothing spline estimation -- 2.5.4 Regression spline estimation -- 2.6 Wavelet transformation methods -- 2.6.1 Function estimation based on Fourier transformation -- 2.6.2 Univariate wavelet transformations -- 2.6.3 Bivariate wavelet transformations -- Problems -- 3 Estimation of Jump Regression Curves -- 3.1 Introduction -- 3.2 Jump detection when the number of jumps is known -- 3.2.1 Difference kernel estimation procedures -- 3.2.2 Jump detection based on local linear kernel smoothing -- 3.2.3 Estimation of jump regression functions based on semiparametric modeling -- 3.2.4 Estimation of jump regression functions by spline smoothing -- 3.2.5 Jump and cusp detection by wavelet transformations -- 3.3 Jump estimation when the number of jumps is unknown -- 3.3.1 Jump detection by comparing three local estimators -- 3.3.2 Estimation of the number of jumps by a sequence of hypothesis tests -- 3.3.3 Jump detection by DAKE -- 3.3.4 Jump detection by local polynomial regression -- 3.4 Jump-preserving curve estimation -- 3.4.1 Jump curve estimation by split linear smoothing -- 3.4.2 Jump-preserving curve fitting based on local piecewise-linear kernel estimation -- 3.4.3 Jump-preserving smoothers based on robust estimation -- 3.5 Some discussions -- Problems -- 4 Estimation of Jump Location Curves of Regression Surfaces -- 4.1 Introduction -- 4.2 Jump detection when the number of jump location curves is known -- 4.2.1 Jump detection by RDKE -- 4.2.2 Minimax edge detection -- 4.2.3 Jump estimation based on a contrast statistic -- 4.2.4 Algorithms for tracking the JLCs -- 4.2.5 Estimation of JLCs by wavelet transformations -- 4.3 Detection of arbitrary jumps by local smoothing -- 4.3.1 Treat JLCs as a pointset in the design space -- 4.3.2 Jump detection by local linear estimation -- 4.3.3 Two modijication procedures -- 4.4 Jump detection in two or more given directions -- 4.4.1 Jump detection in two given directions -- 4.4.2 Measuring the p.…”
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Handbook of industrial engineering equations, formulas, and calculations by Badiru, Adedeji Bodunde, 1952-

Table of Contents: “…And Applications; Discrete Distributions; ANOVA; Variate Generation Techniques; Variate Generation Algorithms; References ; Computations with Descriptive Statistics; Sample Average; Sample Variance; Sample Standard Deviation; Sample Standard Error of the Mean; Estimation and Testing; Distribution Functions and Parameter Estimation; ANOVA; Regression; Statistical Quality Control; Time-Series Analysis; Categorical Analysis; ; Computations for Economic Analysis ; Fundamentals of Economic Analysis; Interest and Equity Computations; Equity Break-Even Formula; Economic Methods of Comparing Investment Alternatives; Incremental Analysis; Asset Replacement and Retention Analysis; Replacement Analysis Computation; Depreciation Methods; Cost and Value Computations; Cash-Flow Calculations; Profit Ratio Analysis; Project Cost Estimation; Cost Performance Index; Cost Control…”
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Image-Guided Therapy Systems. by Vaezy, Shahram

Table of Contents: “…4.4.1 Adaptive Versus Integrated IGRT Systems4.4.2 Treating Moving Targets; 4.4.3 Megavolt Cone Beam Computerized Tomography (MVCBCT) System; 4.4.4 Kilovoltage Cone Beam Computerized Tomography (KVCBCT) System; 4.5 Quality Assurance (QA) for IGRT Systems; 4.5.1 Safety Checks; 4.5.2 Geometric Accuracy; 4.5.3 Image Quality; 4.5.4 Image Registration Accuracy; 4.5.5 Dose Computation and Delivery; 4.6 Conclusion; References; Chapter 5 Radiofrequency Ablation; 5.1 Introduction; 5.2 Biophysics of RF Ablation; 5.2.1 Physics of RF Heating; 5.2.2 Power Control Algorithms.…”
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Advanced Structural Damage Detection : From Theory to Engineering Applications. by Stepinski, Tadeusz

Table of Contents: “…5.5.2 Experimental Verification5.6 Conclusions; Appendix; References; 6 Electromechanical Impedance Method; 6.1 Introduction; 6.2 Theoretical Background; 6.2.1 Definition of the Electromechanical Impedance; 6.2.2 Measurement Techniques; 6.2.3 Damage Detection Algorithms; 6.3 Numerical Simulations; 6.3.1 Modelling Electromechanical Impedance with the use of FEM; 6.3.2 Uncertainty and Sensitivity Analyses; 6.3.3 Discussion; 6.4 The Developed SHM System; 6.5 Laboratory Tests; 6.5.1 Experiments Performed for Plate Structures; 6.5.2 Condition Monitoring of a Pipeline Section; 6.5.3 Discussion.…”
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Modeling and Simulation of Heterogeneous Catalytic Reactions : From the Molecular Process to the Technical System. by Deutschmann, Olaf

Table of Contents: “…2.8 Electronically Nonadiabatic Reaction Dynamics2.9 Conclusions; References; 3 First-Principles Kinetic Monte Carlo Simulations for Heterogeneous Catalysis: Concepts, Status, and Frontiers; 3.1 Introduction; 3.2 Concepts and Methodology; 3.2.1 The Problem of a Rare Event Dynamics; 3.2.2 State-to-State Dynamics and kMC Trajectories; 3.2.3 kMC Algorithms: from Basics to Efficiency; 3.2.4 Transition State Theory; 3.2.5 First-Principles Rate Constants and the Lattice Approximation; 3.3 A Showcase; 3.3.1 Setting up the Model: Lattice, Energetics, and Rate Constant Catalog.…”
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Data-variant kernel analysis by Motai, Yuichi

Table of Contents: “…1.4.1 Kernel-Based Online Learning Algorithms1.4.2 Adopt ""Online"" KA Framework into the Traditionally Developed Machine Learning Techniques; 1.4.3 Relationship Between Online Learning and Prediction Techniques; 1.5 Prediction with Kernels; 1.5.1 Linear Prediction; 1.5.2 Kalman Filter; 1.5.3 Finite-State Model; 1.5.4 Autoregressive Moving Average Model; 1.5.5 Comparison of Four Models; 1.6 Future Direction and Conclusion; References; Chapter 2 Offline Kernel Analysis; 2.1 Introduction; 2.2 Kernel Feature Analysis; 2.2.1 Kernel Basics; 2.2.2 Kernel Principal Component Analysis (KPCA).…”
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Behavioral computational social science by Boero, Riccardo

Table of Contents: “…5.2.2 Multiple decision variables and multilevel decision trees5.3 Model classification; 5.4 Critical issues: Validation, uncertainty modeling; Chapter 6Sophisticated agents; 6.1 Common features of sophisticated agents; 6.2 Cognitive processes; 6.2.1 Reinforcement learning; 6.2.2 Other models of bounded rationality; 6.2.3 Nature-inspired algorithms; 6.3 Cognitive structures; 6.3.1 Middle-level structures; 6.3.2 Rich cognitive models; 6.4 Critical issues: Calibration, validation, robustness, social interface; Chapter 7Social networks and other interaction structures.…”
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How Systems Form and How Systems Break : a Beginner's Guide for Studying the World. by Ren, Chiang H.

Table of Contents: “…2.2 Associations: Connections Between System Parts2.2.1 Discovery by Fuzzy Logic; 2.2.2 Discovery by Bayesian Networks; 2.2.3 Discovery by Rough Set Theory; 2.2.4 Discovery by Genetic Algorithms; 2.2.5 Discovery by Neural Networks; 2.2.6 Discovery by Agent-Based Modeling; 2.3 Structure: All Parts and Associations in the System; 2.3.1 Fixed and Firm Structures; 2.3.2 Clustered and Morphing Structures; 2.3.3 Dynamically Linking Structures; 2.3.4 Dynamically Influencing Structures; 2.4 Boundaries: How to Define the System; 2.4.1 Methodology of Iterating a Conceptual System Model.…”
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Towards 5G : Applications, Requirements and Candidate Technologies. by Vannithamby, Rath

Table of Contents: “…4.5.4 A System View of€Interference Management: Radio Circuits, PHY€Mechanisms, and€Protocol Designs4.5.5 Dynamic Cloud Services Spectrum Sharing Algorithms and€Mechanisms for€B4G Networks; 4.5.6 Fundamentals of Spectrum Sharing in Device-to-Device and Heterogeneous Communication Networks ; 4.5.7 Structured Sharing of€Network and€Compute Resources in€a€Community of€Devices; 4.5.8 A Unified Framework for Enabling Energy-efficient Mobile Internet Apps and Energy-efficient Cloud Offloading ; References; Part II Candidate Technologies -- Evolutionary ; Chapter 5 Towards Green and Soft.…”
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Stochastic dynamics of structures by El Hami, Abdelkhalak, Radi, Bouchaïb

Table of Contents: “…Description of EFG method algorithms; 5. Mechanical Systems with Uncertain Parameters; 5.1. …”
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Advanced reliability modeling : proceedings of the 2004 Asian International Workshop (AIWARM 2004) : Hiroshima, Japan, 26-27 August 2004

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Introduction to distribution logistics by Brandimarte, Paolo

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The essential guide to image processing

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Matrix computations and semiseparable matrices by Vandebril, Raf, 1978-

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Obstetric anesthesia and uncommon disorders

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Manual of pediatric hematology and oncology by Lanzkowsky, Philip, 1932-

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