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“…"Go, the new open source language from Google, is known for its simple syntax, rich library, easy concurrency, and scalability. It's used in software systems where "scale big and run fast" is the daily mantra. …”

“…The effect of higher Reynolds numbers and of enhanced bottom roughness on the generation and development of hydrodynamic instabilities between the two layers are investigated by means of physical experiments and linear stability analysis…”

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“…This shift in design is so fundamental that starting with Java 9, all core Java APIs are distributed as modules, and libraries, frameworks, and applications will benefit from doing the same…”

Tabla de Contenidos: “…Syed and Ghazanfar Ali Safdar -- 6.1 Fundamentals of Signal Processing 151 -- 6.1.1 Channel Model 151 -- 6.1.1.1 Additive Gaussian Noise Channel 151 -- 6.1.1.2 Linear Filter Channel 152 -- 6.1.1.3 Band Limited Channel 153 -- 6.1.2 Modulation Technique 153 -- 6.1.3 Error Probability 154 -- 6.2 Spectrum Sensing Techniques 155 -- 6.2.1 Primary Transmitter Detection 155 -- 6.2.1.1 Energy Detector 156 -- 6.2.1.2 Matched Filter Detection 158 -- 6.2.1.3 Cyclostationary Feature Detection 159 -- 6.2.1.4 Waveform Detection 160 -- 6.2.1.5 Wavelet Detection 161 -- 6.2.1.6 Hybrid Sensing 162 -- 6.2.1.7 Multi?]…”

Tabla de Contenidos: “…-- 1.3.1 VSAM access types -- 1.4 Major VSAM parts -- 1.4.1 Catalog management -- 1.4.2 Record management -- 1.5 VSAM terminology and concepts -- 1.5.1 Logical record -- 1.5.2 Key field -- 1.5.3 Ways to identify logical records -- 1.5.4 Physical record -- 1.5.5 Control interval -- 1.5.6 Control area -- 1.5.7 Spanned records -- 1.5.8 Component -- 1.5.9 Cluster -- 1.5.10 Sphere -- 1.5.11 Alternate indexes -- 1.5.12 Splits -- 1.5.13 VSAM buffering -- 1.6 VSAM data set organizations -- 1.6.1 Key-sequenced data set -- 1.6.2 Entry sequenced data set (ESDS) -- 1.6.3 Relative record data set -- 1.6.4 Variable relative record data set -- 1.6.5 Linear data set (LDS) -- 1.7 Comparing VSAM data set organizations -- 1.8 Choosing a VSAM data set type -- 1.9 Extended format data set -- 1.10 Extended addressability -- 1.11 Data striping -- 1.12 Processing a VSAM cluster -- 1.12.1 Allocating a VSAM cluster -- 1.12.2 Accessing VSAM cluster -- 1.12.3 Unallocation -- 1.13 VSAM exploiters -- 1.13.1 DB2 -- 1.13.2 Hierarchical file system (HFS) -- 1.13.3 zSeries File System (zFS) -- 1.13.4 CICS -- 1.13.5 DFSMShsm -- 1.13.6 DFSMSrmm -- 1.13.7 Java Record I/O (JRIO) -- Chapter 2. …”

Tabla de Contenidos: “…7.2.3 Object Detection with a Training Set 236 -- 7.2.4 Object Recognition Combined with Bottom-up Attention 239 -- 7.3 Object Detection and Recognition in Satellite Imagery 240 -- 7.3.1 Ship Detection based on Visual Attention 242 -- 7.3.2 Airport Detection in a Land Region 245 -- 7.3.3 Saliency and Gist Feature for Target Detection 248 -- 7.4 Image Retrieval via Visual Attention 250 -- 7.4.1 Elements of General Image Retrieval 251 -- 7.4.2 Attention Based Image Retrieval 253 -- 7.5 Applications of Visual Attention in Robots 256 -- 7.5.1 Robot Self-localization 257 -- 7.5.2 Visual SLAM System with Attention 259 -- 7.5.3 Moving Object Detection using Visual Attention 262 -- 7.6 Summary 265 -- References 265 -- 8 Application of Attention Models in Image Processing 271 -- 8.1 Attention-modulated Just Noticeable Difference 271 -- 8.1.1 JND Modelling 272 -- 8.1.2 Modulation via Non-linear Mapping 274 -- 8.1.3 Modulation via Foveation 276 -- 8.2 Use of Visual Attention in Quality Assessment 277 -- 8.2.1 Image/Video Quality Assessment 278 -- 8.2.2 Weighted Quality Assessment by Salient Values 279 -- 8.2.3 Weighting through Attention-modulated JND Map 280 -- 8.2.4 Weighting through Fixation 281 -- 8.2.5 Weighting through Quality Distribution 281 -- 8.3 Applications in Image/Video Coding 282 -- 8.3.1 Image and Video Coding 282 -- 8.3.2 Attention-modulated JND based Coding 284 -- 8.3.3 Visual Attention Map based Coding 285 -- 8.4 Visual Attention for Image Retargeting 287 -- 8.4.1 Literature Review for Image Retargeting 288 -- 8.4.2 Saliency-based Image Retargeting in the Compressed Domain 289 -- 8.5 Application in Compressive Sampling 292 -- 8.5.1 Compressive Sampling 293 -- 8.5.2 Compressive Sampling via Visual Attention 296 -- 8.6 Summary 300 -- References 300 -- PART IV SUMMARY 305 -- 9 Summary, Further Discussions and Conclusions 307 -- 9.1 Summary 308 -- 9.1.1 Research Results from Physiology and Anatomy 308 -- 9.1.2 Research from Psychology and Neuroscience 309 -- 9.1.3 Theory of Statistical Signal Processing 310.…”

“…Foremost, it is just a Clojure library, thus, FunnyQT queries and transformations are Clojure programs. …”

“…The book starts by explaining clean architecture principles and Android architecture components and then explores the tools, frameworks, and libraries involved. You'll learn how to structure your application in the data and domain layers, the technologies that go in each layer, and the role that each layer plays in keeping your application clean. …”

“…Master application development by writing succinct, robust, and reusable code with Qt 5 About This Book Unleash the power of Qt 5 with C++14 Integrate useful third-party libraries such as OpenCV Package and deploy your application on multiple platforms Who This Book Is For This book will appeal to developers and programmers who would like to build GUI-based applications. …”

“…Easy document object manipulation with the most popular JavaScript Library About This Video Learn jQuery and build dynamic and interactive websites. …”

“…Discover how to use the RxJS library to write programs in a simpler way, unifying asynchronous mechanisms such as callbacks and promises into a single, powerful construct. …”

“…General Topics and Subject Areas, Organized by Chapter Introduction to Problem Solving with Mathematical Software Packages Basic Principles and Calculations Regression and Correlation of Data Introduction to Problem Solving with Excel Introduction to Problem Solving with MATLAB Advanced Problem-Solving Techniques Thermodynamics Fluid Mechanics Heat Transfer Mass Transfer Chemical Reaction Engineering Phase Equilibrium and Distillation Process Dynamics and Control Biochemical Engineering Practical Aspects of Problem-Solving Capabilities Simultaneous Linear Equations Simultaneous Nonlinear Equations Linear, Multiple Linear, and Nonlinear Regressions with Statistical Analyses Partial Differential Equations (Using the Numerical Method of Lines) Curve Fitting by Polynomials with Statistical Analysis Simultaneous Ordinary Differential Equations (Including Problems Involving Stiff Systems, Differential-Algebraic Equations, and Parameter Estimation in Systems of Ordinary Differential Equations) The Book's Web Site (http://www.problemsolvingbook.com) Provides solved and partially solved problem files for all three software packages, plus additional materials Describes discounted purchase options for educational version of POLYMATH available to book purchasers Includes detailed, selected problem solutions in MapleTM, Mathcad®, and MathematicaTM…”

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“…Learn how to use Ecto, the premier database library for Elixir, to connect your Elixir and Phoenix apps to databases. …”

“…Having got to grips with the basics, you'll explore important tools and libraries in Java for NLP, such as CoreNLP, OpenNLP, Neuroph, and Mallet. …”

“…Known for its vast standard library, it also provides features such as garbage collection, type safety, dynamic-typing capabilities, and additional built-in types. …”