“…Eco Design and Ecological Transition presents an innovative approach to eco design, a method that aims to offer products or services with a reduced environmental impact compared to conventional production methods, from the extraction of resources to the end of the product's life. …”

Tabla de Contenidos: “…Implementing a mobile test automation framework for emulatorsAppium architecture; Appium setup; Android on Windows OS; Appium on Mac OS; Scripting and execution with Appium; Scripting and object property extraction; Execution; Code snippet; Capabilities of the Android emulator for versions lower than 4.2 (API 17) and hybrid applications; Advantages of mobile emulators; Limitations of mobile emulators; Troubleshooting and best practices; Summary; Chapter 5: Automating Physical Devices; Getting Started; Automation technologies with real devices; Automation with optical recognition technology…”

Tabla de Contenidos: “…OPENING A FILE -- READING TEXT FROM A FILE -- ADD CONTENT TO A FILE -- OVERWRITING THE CONTENTS OF A FILE -- CREATING A NEW FILE -- USING THE OS MODULE -- DELETING A FILE -- SUMMARY -- EXERCISES -- Lesson 19: Processing CSV Files -- READING CSV FILES -- USING THE DICTREADER CLASS -- CREATING A DATASET LIST -- USING WRITEROW() -- APPENDING DATA -- WRITING ROWS AS LISTS -- WRITING ROWS FROM DICTIONARIES -- SUMMARY -- EXERCISES -- Lesson 20: Processing JSON Files -- PROCESSING JSON FILES -- CREATING A JSON FILE WITH DUMP() -- CONVERTING TO JSON WITH DUMPS() -- FORMATTING JSON DATA -- USING JSON.LOADS() -- ITERATING THROUGH JSON DATA -- READING AND WRITING JSON DATA -- SUMMARY -- EXERCISES -- PART V: Data Analysis and Exception Handling -- Lesson 21: Using Lambdas -- CREATING A LAMBDA FUNCTION -- WORKING WITH MULTIPLE INPUTS -- PLACING LAMBDA FUNCTIONS INSIDE A FUNCTION -- USING THE MAP() FUNCTION -- COMBINING MAP AND LAMBDA FUNCTIONS -- USING THE FILTER() FUNCTION -- COMBINING A FILTER AND A LAMBDA -- USING THE REDUCE() FUNCTION -- SUMMARY -- EXERCISES -- Lesson 22: Handling Exceptions -- BUILT-IN EXCEPTIONS -- WORKING WITH TRY AND EXCEPT -- WORKING WITH MULTIPLE EXCEPTS -- COMBINING EXCEPTION TYPES -- USING MULTIPLE OPERATIONS IN A TRY -- USING THE RAISE KEYWORD -- EXPLORING THE GENERAL EXCEPTION CLASSES -- ADDING FINALLY -- SUMMARY -- EXERCISES -- Lesson 23: Pulling It All Together: Word Analysis in Python -- EXAMINE THE DATA -- READ THE DATA -- TOKENIZE THE DATASET -- COUNT THE WORDS IN EACH REVIEW -- SUMMARY -- Lesson 24: Extracting, Transforming, and Loading with ETL Scripting -- ETL SCRIPTING IN PYTHON -- DESIGN AND IMPLEMENT CUSTOM ETL SCRIPTS -- THE EXTRACT CLASS -- THE TRANSFORM CLASS -- THE LOAD CLASS -- SUMMARY -- EXERCISES -- Lesson 25: Improving ETL Scripting -- CONVERTING TO STATIC METHODS FOR THE EXTRACT CLASS…”

Tabla de Contenidos: “…-- Installing Streamlit -- Finishing up -- One final check -- Familiarizing ourselves with the structure of the LlamaIndex code repository -- Summary -- Part 2: Starting Your First LlamaIndex Project -- Chapter 3: Kickstarting your Journey with LlamaIndex -- Technical requirements -- Uncovering the essential building blocks of LlamaIndex - documents, nodes, and indexes -- Documents -- Nodes -- Manually creating the Node objects -- Automatically extracting Nodes from Documents using splitters -- Nodes don't like to be alone - they crave relationships -- Why are relationships important? …”

Tabla de Contenidos: “…Proposed PVC Detection Method -- 2.2.1. Feature Extraction -- 2.2.2. Classification -- 3. Results -- 3.1. …”

Tabla de Contenidos: “…7.3.1.2 Windowing in Time Series Geographic Data -- 7.3.1.3 Big Data Feature Construction -- 7.3.2 Dimensionality Reduction -- 7.3.2.1 Feature Selection -- 7.3.2.2 Feature Extraction -- 7.4 Algorithmic Approaches to Machine Learning of Geospatial Big Data -- 7.4.1 Space Complexity -- 7.4.1.1 Online Learning -- 7.4.2 Time Complexity -- 7.4.2.1 Online Learning -- 7.4.2.2 Ensemble Learning -- 7.5 Conclusions -- Note -- References -- Chapter 8: Spatial Big Data: Case Studies on Volume, Velocity, and Variety -- 8.1 Introduction -- 8.2 What Is Spatial Big Data? …”

Tabla de Contenidos: “…11.2 Challenges in recognition of hand gestures -- 11.3 Approaches' types -- 11.4 Literature review on vision-based gesture recognition -- 11.5 Data acquisition -- 11.6 Pre-processing of acquired data -- 11.7 Segmentation -- 11.7.1 Segmentation of skin color -- 11.7.2 Other methods for segmentation -- 11.7.3 Tracking -- 11.8 Feature extraction -- 11.8.1 Principal component analysis (PCA) -- 11.8.2 Linear discriminant analysis (LDA) -- 11.8.3 Shift-invariant feature transform (SIFT) -- 11.9 Classification -- 11.9.1 Artificial neural network (ANN) -- 11.9.2 Support vector machine (SVM) -- 11.9.3 Euclidean distance classifier -- 11.9.4 K-nearest neighbor classifier -- 11.10 Literature review on sensor-based gesture recognition -- 11.10.1 Data glove -- 11.10.2 Electromyography (EMG) -- 11.10.3 Radar and WiFi -- 11.11 Discussion -- 11.11.1 Critical review on the previous survey -- 11.11.2 Reviews on considered algorithms and methodologies -- 11.12 Conclusion and future work -- References -- Index…”

Tabla de Contenidos: “…6.2.2 - Real-Time Data Capturing in Manufacturing Field -- 6.3 - Real-time information enabled material handling strategy -- 6.4 - Overall architecture of optimization model for SMH -- 6.5 - IoT-enabled smart trolley -- 6.5.1 - Real-Time Information Capturing and Encapsulation -- 6.5.2 - Real-Time Information Exchange -- 6.5.3 - Workflow-Based Real-Time Guidance -- 6.6 - Two-stage combination optimization method for move tasks -- 6.6.1 - Real-Time Information Models of Move Tasks -- 6.6.2 - Preoptimization for Candidate Tasks Set -- 6.6.3 - AHP-Based Combination Optimization -- References -- Chapter 7 - Real-Time Key Production Performances Analysis Method -- 7.1 - Introduction -- 7.2 - Related works -- 7.2.1 - Real-Time Production Monitoring Technique -- 7.2.2 - Real-Time Production KPIs Analysis -- 7.2.3 - Real-Time Production Anomaly Analysis -- 7.2.4 - Research Gap -- 7.3 - Overall architecture of real-time production performance analysis model -- 7.3.1 - Configuration of Smart Sensors -- 7.3.2 - Critical Event-Based Information Extracting Process -- 7.3.3 - Real-Time Key Production Anomaly Analysis -- 7.4 - The event hierarchy of critical event -- 7.5 - HTCPN-based critical event analysis -- 7.5.1 - Basic Concepts of HTCPN -- 7.5.2 - HTCPN Model Construction -- 7.5.3 - Connection Between HTCPN and Manufacturing Resources -- 7.5.4 - Production Performance Extraction -- 7.6 - Real-time production anomaly diagnosis -- 7.6.1 - New Cases -- 7.6.2 - Historical Cases -- 7.6.3 - Decision Variables -- 7.6.4 - Tree Builder -- 7.6.5 - Anomaly Extraction and Causes Diagnosis -- References -- Chapter 8 - Real-Time Information-Driven Production Scheduling System -- 8.1 - Introduction -- 8.2 - Related works -- 8.2.1 - Agent Technology and Applications in Manufacturing Field -- 8.2.2 - Real-Time Production Scheduling…”

Tabla de Contenidos: “…. -- There's more... -- Chapter 6: Extracting Data from the Repository -- Introduction -- Extracting the top contributor -- Getting ready -- How to do it... -- There's more…”

Tabla de Contenidos: “…. -- Using the str() function for an overview of a data frame -- Computing the summary and the str() function for a single variable -- Finding other measures -- Extracting a subset of a dataset -- Getting ready -- How to do it... -- How it works... -- There's more…”

Tabla de Contenidos: “…Review Questions -- Notes -- Chapter 5 Culture and Awareness -- Winning over the Firm -- Marketing and Communication -- Agile -- Training -- Planning -- The "Use Test" -- Key Points -- Review Question -- Note -- Chapter 6 Policies and Procedures -- The Role of Policies, Procedures, Guidelines, and Standards -- Best Practices -- Operational Risk Policy -- Sample Operational Risk Policy -- Sample Standards, Procedures, and Guidelines -- Extract from a Loss Data Standards Document -- Extract from a Loss Data Procedures Document -- Extract from a Loss Data Guidelines Document -- Linkage between Documents -- Key Points -- Review Question -- Note -- Chapter 7 Internal Operational Risk Event Loss Data -- Operational Risk Event Data -- Internal Loss Data or Internal Operational Risk Events -- Why Collect Operational Risk Event Data? …”

Tabla de Contenidos: “…-- Combining elevations and sections with other views using Trace and Reference -- The Interior Elevation tool -- Other ways to display a 3D model -- Showing specific parts of a project using the Marquee tool -- A 3D Cutaway using Cutting Planes -- Toggle element categories in the 3D window -- Construction detailing in Archicad -- Creating a detail viewpoint -- Editing and adding 2D elements in a detail drawing -- Evolving toward an efficient detailing workflow -- Using 2D drafting for construction details -- Summary -- Chapter 13: Data Extraction and Visualization -- Using Schedules for information extraction -- Using Interactive Schedules in Archicad -- Creating a Schedule -- Setting up a schedule -- Formatting a Schedule -- Exporting a Schedule as a spreadsheet -- Graphic Overrides -- GO combinations -- Exploring the rules -- Summary -- Chapetr 14: Automating the Publication of BIM Extracts -- Understanding Quick Options/view filters -- Layer Combination -- Scale -- Structure Display -- Pen Set -- Model View Options -- Graphic Override (GO)…”

Tabla de Contenidos: “…. -- Reformatting and extracting existing data into new columns using stringr -- Getting ready -- How to do it... -- How it works...…”

Tabla de Contenidos: “…Technical requirements -- Refactoring the flight tracker -- Refactoring methods -- Changing method access modifiers -- Renaming methods and parameters -- Overloading methods -- Chaining methods -- Refactoring constructors -- Generating constructors -- Chaining constructors -- Refactoring parameters -- Reordering parameters -- Adding parameters -- Introducing optional parameters -- Removing parameters -- Refactoring to functions -- Using expression-bodied members -- Passing functions as parameters with actions -- Returning data from Actions with Funcs -- Introducing static methods and extension methods -- Making methods static -- Moving static members to another type -- Creating extension methods -- Reviewing and testing our refactored code -- Summary -- Questions -- Further reading -- Chapter 5: Object-Oriented Refactoring -- Technical requirements -- Refactoring the flight search system -- Organizing classes via refactoring -- Moving classes to individual files -- Renaming files and classes -- Changing namespaces -- Avoiding partial classes and regions -- Refactoring and inheritance -- Overriding ToString -- Generating equality methods -- Extracting a base class -- Moving interface implementations up the inheritance tree -- Controlling inheritance with abstract -- Communicating intent with abstract -- Introducing abstract members -- Converting abstract methods to virtual methods -- Refactoring for better encapsulation -- Encapsulating fields -- Wrapping parameters into a class -- Wrapping properties into a class -- Favoring composition over inheritance -- Improving classes with interfaces and polymorphism -- Extracting interfaces -- Providing default interface implementations -- Introducing polymorphism -- Reviewing and testing our refactored code -- Summary -- Questions -- Further reading -- Part 2: Refactoring Safely -- Chapter 6: Unit Testing…”

Tabla de Contenidos: “…""II: Relation of what occurred in New France (le Jeune, 1639)""""III: Of the residence at Sillery (Vimont, 1642-43)""; ""IV: Extracts from the journal of the Jesuits at Quebec (1645-1668)""; ""V: Revenues of the Jesuits in Canada (Bouvart, October 4, 1701)""; ""VI: Memoir by Coquart (April 5, 1750)""; ""VII: Letter of Glapion to Finlay (September 10, 1788)""; ""NOTES""; ""Suggestions for Further Reading""…”
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Tabla de Contenidos: “…Cover; Title Page; Copyright; Contents; 1 Data Warehousing, Business Intelligence, and Dimensional Modeling Primer; Different Worlds of Data Capture and Data Analysis; Goals of Data Warehousing and Business Intelligence; Publishing Metaphor for DW/BI Managers; Dimensional Modeling Introduction; Star Schemas Versus OLAP Cubes; Fact Tables for Measurements; Dimension Tables for Descriptive Context; Facts and Dimensions Joined in a Star Schema; Kimball's DW/BI Architecture; Operational Source Systems; Extract, Transformation, and Load System; Presentation Area to Support Business Intelligence…”

Tabla de Contenidos: “…Using the Concatenation Operator InlineMore String Operations; Substrings; Formatting Strings; Localized Formatting; Replacing Substrings; Using Dates; Formatting Date Strings; Extracting Date Properties; Date Constants; Defining Date Literals; Manipulating Dates; Boolean; Storing Variables; Binary; Bits and Bytes; Representing Values; Converting Values; Methods; Why Use Methods?…”

Tabla de Contenidos: “…Chapter 3: Support Vector Machines for ClassificationSVM from a Geometric Perspective; SVM Main Properties; Hard-Margin SVM; Soft-Margin SVM; Kernel SVM; Multiclass SVM; SVM with Imbalanced Datasets; Improving SVM Computational Requirements; Case Study of SVM for Handwriting Recognition; Preprocessing; Feature Extraction; Hierarchical, Three-Stage SVM; Experimental Results; Complexity Analysis; References; Chapter 4: Support Vector Regression; SVR Overview; SVR: Concepts, Mathematical Model, and Graphical Representation…”

Tabla de Contenidos: “…Frontmatter 1 Table of Contents 5 Editorial-This Is Not an Atlas 12 Counter-Cartographies-The Insurrection of Maps 26 Mapping the Anti-Eviction Struggle in the San Francisco Bay Area 38 A New Social Cartography 46 A View from Above-Balloon Mapping Bourj Al Shamali 54 Mapping Safe Passages 60 Militarization of Rio de Janeiro's Favelas-Measuring Impacts on the Lives of Young Black Men and Women through Social Cartography 66 Political Action Maps 72 This Land Is Your Land 76 X-Ray of Soy Agribusiness in the Pampa and Mega-Mining in the Andes 86 Mapping Global Environmental Conflicts and Spaces of Resistance 92 Collaborative Cartography in Defense of the Commons 98 Knitted Flood Wall 102 Indigenous Cartography in Acre-Influencing Public Policy in Brazil 110 Making Cartographies of Ourselves 116 A Civic Mapping Project in an Indian Megacity The Uses and Challenges of Spatial Data for Critical Research 120 Mapping Sexual Harassment in Egypt 126 Untangling the Strategies of Capital-Towards a Critical Atlas of Ecuador 130 A Students' Map for a Students' Building Working from within and beyond the Map 136 Counter-Mapping for Resistance and Solidarity in the Philippines Between Art, Pedagogy and Community 144 Mapping Inside (and Outside) the Classroom 152 Protest Map, Cartoon and Propaganda 158 Making Maps-A Visual Guide to Map Design with GPS 165 Manual of Collective Mapping 183 A Guideline for Solidary Mapping 205 Counter-Mapping Militant Research 212 Mapping the Squatting Movement 222 Emancipatory Mapmaking-Lessons from Kibera 228 Mapping Postkolonial An Archive of Post/Colonial Traces, Layers and Spectres in Munich 234 Open-Source Aerial Imagery as a Critique Tool The Extractive Geopolitics Project 240 You Must Buy before You Can Fly-The Airport Malls 244 Visualizing the Counter-Narratives of Port Said 252 Counter-Cartographies of Exile 258 The Materiality Language of Cartography 264 Imaging Homelessness in a City of Care. …”

Tabla de Contenidos: “…N and Problems of Convergence of Fourier Series of Functions Which Equal Zero on Some Set -- Sidon Type Inequalities for Wavelets -- Almansi Decomposition for Dunkl-Helmholtz Operators -- An Uncertainty Principle for Operators -- Uncertainty Principle for Clifford Geometric Algebras Cl n,0, n = 3 (mod 4) Based on Clifford Fourier Transform -- Orthogonal Wavelet Vectors in a Hilbert Space -- Operator Frames for -- On the Stability of Multi-wavelet Frames -- Biorthogonal Wavelets Associated with Two-Dimensional Interpolatory Function -- Parameterization of Orthogonal Filter Bank with Linear Phase -- On Multivariate Wavelets with Trigonometric Vanishing Moments -- Directional Wavelet Analysis with Fourier-Type Bases for Image Processing -- Unitary Systems and Wavelet Sets -- Clifford Analysis and the Continuous Spherical Wavelet Transform -- Clifford-Jacobi Polynomials and the Associated Continuous Wavelet Transform in Euclidean Space -- Wavelet Leaders in Multifractal Analysis -- Application of Fast Wavelet Transformation in Parametric System Identification -- Image Denoising by a Novel Digital Curvelet Reconstruction Algorithm -- Condition Number for Under-Determined Toeplitz Systems -- Powell-Sabin Spline Prewavelets on the Hexagonal Lattice -- Time-Frequency Aspects of Nonlinear Fourier Atoms -- Mono-components for Signal Decomposition -- Signal-Adaptive Aeroelastic Flight Data Analysis with HHT -- An Adaptive Data Analysis Method for Nonlinear and Nonstationary Time Series: The Empirical Mode Decomposition and Hilbert Spectral Analysis -- Wavelet Applications -- Transfer Colors from CVHD to MRI Based on Wavelets Transform -- Medical Image Fusion by Multi-resolution Analysis of Wavelets Transform -- Salient Building Detection from a Single Nature Image via Wavelet Decomposition -- SAR Images Despeckling via Bayesian Fuzzy Shrinkage Based on Stationary Wavelet Transform -- Super-Resolution Reconstruction Using Haar Wavelet Estimation -- The Design of Hilbert Transform Pairs in Dual-Tree Complex Wavelet Transform -- Supervised Learning Using Characteristic Generalized Gaussian Density and Its Application to Chinese Materia Medica Identification -- A Novel Algorithm of Singular Points Detection for Fingerprint Images -- Wavelet Receiver: A New Receiver Scheme for Doubly-Selective Channels -- Face Retrieval with Relevance Feedback Using Lifting Wavelets Features -- High-Resolution Image Reconstruction Using Wavelet Lifting Scheme -- Mulitiresolution Spatial Data Compression Using Lifting Scheme -- Ridgelet Transform as a Feature Extraction Method in Remote Sensing Image Recognition -- Analysis of Frequency Spectrum for Geometric Modeling in Digital Geometry -- Detection of Spindles in Sleep EEGs Using a Novel Algorithm Based on the Hilbert-Huang Transform -- A Wavelet-Domain Hidden Markov Tree Model with Localized Parameters for Image Denoising…”