Tabla de Contenidos: “…Introduction: Hacking on Twitter Data; Installing Python Development Tools; Collecting and Manipulating Twitter Data; Tinkering with Twitter's API; Frequency Analysis and Lexical Diversity; What are people talking about right now?; Extracting relationships from the tweets; Visualizing Tweet Graphs…”

Tabla de Contenidos: “…Installing the GRUB Loader Completing the Installation; Thumb Drive Installation; Windows (Nonpersistent); Linux (Persistent); SD Card Installation; Summary; 3 Software, Patches, and Upgrades; Chapter Overview and Key Learning Points; APT Package Handling Utility; Installing Applications or Packages; Update; Upgrade; Distribution Upgrade; Remove; Auto Remove; Purge; Clean; Autoclean; Putting It All Together; Debian Package Manager; Install; Remove; Checking for Installed Package; Tarballs; Creation of a Tarball; Extracting Files from a Tarball; Compressing a Tarball…”

Tabla de Contenidos: “…Cover -- Contents -- Introduction -- 1 Introducing Tools and Workflow -- The Core Workflow -- How Media Composer Works: Files and Relationships -- How Media Composer Works: System Hardware -- Starting the System -- Creating and Opening a Project -- Working in the Project Window -- Exploring the Editing Interface -- Loading and Marking Clips -- Making Your First Edit -- Saving Your Work -- Review Questions -- 2 Basic Editing -- Playing and Marking Clips -- Locating an Audio Edit Cue -- Creating a Sequence -- Removing Material from a Sequence -- Creating Subclips -- Creating Subsequences -- Creating a Storyboard -- Review Questions -- 3 Timeline Editing -- Extracting Top and Tail -- Working with Tracks -- Editing Segments in the Timeline Using Segment Mode -- Useful Editing Tools and Techniques -- Review Questions -- 4 Fine-Tuning the Sequence -- Understanding Trimming -- Trimming Types -- The Trimming Process -- Performing Trims -- Additional Methods for Adding and Removing Frames -- Slipping and Sliding Segments -- Review Questions -- 5 Basic Audio Editing -- Understanding Audio Level and Pan -- Adjusting Level and Pan in the Audio Mixer Tool -- Adjusting Audio Gain Using Keyframes -- Audio Gain Automation Real-Time Recording -- Review Questions -- 6 Customizing Settings -- Viewing and Changing Settings -- Mapping Buttons and Menu Items -- Configuring the Timeline -- Using Toolsets -- Review Questions -- 7 Introducing Effects -- Effect Types -- Accessing and Applying Effects -- Horizontal Effects -- Using Keyframes -- Direct Manipulation Handles -- Saving and Applying Effect Templates -- Creating Vertical Effects -- Nesting Effects -- Review Questions -- 8 Introducing Color Correction -- Getting Started with Color Correction -- Using Automatic Color Correction -- Color Correction Toolset -- Performing Automatic Color Corrections…”

Tabla de Contenidos: “…Using environment variables for configurationConsuming a web API; Getting domain suggestions; Available; Composing all five programs; One program to rule them all; Summary; Chapter 5: Building Distributed Systems and Working with Flexible Data; System design; Database design; Installing the environment; NSQ; NSQ driver for Go; MongoDB; MongoDB driver for Go; Start the environment; Votes from Twitter; Authorization with Twitter; Extracting the connection; Reading environment variables; Reading from MongoDB; Reading from Twitter; Signal channels; Publishing to NSQ…”

Tabla de Contenidos: “…Reading the ResultsWhat to Do When a Test Fails; Comparing Test Runs; Comparing Images; The "Compare Image With" Dialog; The "Image Comparison" Dialog; The "Image Diff" Dialog; Troubleshooting; Setup; Judging Scripts; The Judging Script Driver; The COLLADA Input Documents; The COLLADA Output Documents; Documentation; References; Chapter 7: Rendering COLLADA Assets on Mac OS X with Scene Kit; Integrating Scene Kit with Xcode; The Xcode COLLADA Editor; The Scene Kit API; COLLADA Scene Import; Loading a COLLADA Scene; Extraction of COLLADA Library Entries; Scene Graph Manipulation and Animations…”

Tabla de Contenidos: “…5 - From micro to macro: simulating crack propagation in carbon fibre composites5.1 Introduction; 5.2 Overview of existing multi-scale modelling methods; 5.3 Numerical crack models; 5.4 Modelling of transverse crack growth in a carbon fibre-reinforced polymer ply; 5.5 Conclusions and final remarks; Acknowledgements; References; 6 - Multi-scale modeling of high-temperature polymer matrix composites for aerospace applications; 6.1 Introduction; 6.2 DCB experiment; 6.3 Viscoelastic cohesive layer model; 6.4 Extraction of cohesive law from experimental data through J-integral…”

Tabla de Contenidos: “…Learning to use list comprehensionsImplementing is_exact_type; Saying goodbye to map and filter; Writing a skeleton converter library; Writing the docstring and pseudocode; Understanding docstrings and reStructured Text; Writing the first implementation; Breaking the first implementation; Understanding interface contracts; Extracting the safe_setparent utility function; Learning how to refactor; Simplifying the node to joint conversion; Learning how to use closures; Dealing with node connections; Dealing with namespaces; Wrapping up the skeleton converter; Writing a character creator…”

Tabla de Contenidos: “…-- Results -- Inter-annotator reliability -- Calculating Krippendorff's alpha -- Debrief -- Summary -- References -- Chapter 4: Preprocessing - Stemming, Tagging, and Parsing -- Readers -- Word parts and compound words -- Tokenizing, morphology, and stemming -- Spelling changes -- Multiple and contextual affixes -- Compound words -- Tagging and parsing -- Summary -- References -- Part 3: Approaches -- Chapter 5: Sentiment Lexicons and Vector-Space Models -- Datasets and metrics -- Sentiment lexicons -- Extracting a sentiment lexicon from a corpus -- Similarity measures and vector-space models -- Vector spaces…”

Tabla de Contenidos: “…Fusion of IoT and Blockchain (BIoT): A Novel Architecture for Smart Agri culture -- Smart Chapeau for Visually Impaired Person -- Exploring The Impact Of Cloud Computing On Mobile Application Development -- Active Machine-to-Machine(M2M) and IoT Communication Architecture for Mobile Devices and Sensor Nodes -- rought Prediction in Agriculture with Support Vector Neural Networks: Enhancing Accuracy -- lockchain-based Anomaly Detection and Intrusion Prevention in IoT Net works -- Performance of Machine Learning Algorithms in Big Data Analytics -- Machine Learning and IoT Based Efficient Power Conservation System for Smart Buildings -- An Assessment on Algorithms for Planning of Secondary Distribution with Renewable Energy -- A Novel Heart disease Monitoring and Prediction using Machine Learning Algorithm -- An Efficient Quadrature LEACH Routing Protocol with Enhanced FODPSO Optimization in WSN -- A Multihop Routing Protocol in Wireless Sensor Networks using Graph based Cat Salp Swarm Algorithm -- Level Monitoring of Cylindrical Two-tank System using IoT -- Numerical Simulation for Effect of Varying Materials on Performance En hancement of Earth Tube Heat Exchanger -- Advancements in Hand Gesture Recognition through Convolutional Neural Networks: A Comprehensive Study -- An intelligent feature extraction and multiple learning based classification techniques for diagnosis of breast cancer -- AI and Robotics: Humanity’s New Frontier -- IoT - based Safety Jacket System for Mining Professionals -- Predictive Web Prefetching: A Combined Approach Using Clustering Algo rithms and WEKA in High-Traffic Settings -- Advancements in Imaging Techniques for Accurate Identification of VCF in Patients with Scoliosis -- l Distance domination in semigraph -- Behavioral Aspects of 2.5 GHz in an Indoor Environment -- An Experimental Study of Stone Matrix Asphalt with Different Fillers -- SMACO Program execution on new simulator using new in-structions -- Blockchain-Based System for Virtual Power Plants: Enhancing Efficiency and Security in Operations and Transactions -- Netflix Data Analysis using EDA -- Analysis of the impact of machine learning on the development of the strate gic business model by analysing the customer’s opinions and demands -- Medical Chabot using Machine Learning -- Microcontroller Based Smart Automated Public Gar Den Maintainace System -- Optimizing Intrusion Detection Systems Using Deep Learning and Genetic Algorithms for Network Traffic Analysis -- Semantic Segmentation of Natural Scene Images using Encoder-Decoder Ap proach -- Investigation of an Architecture for Convolutional Neural Network with Ef ficient Resource Utilization -- IoT-Enabled Smart Helmet: Enhancing Safety for Motorcycle Riders through Alcohol, Drowsiness, and Helmet Detection -- Design of H-shaped slotted Microstrip Patch Antenna at 28 GHz for 5G Communication -- Design of Compact Wideband Microstrip Patch Antenna for IoT Applica tions in WLAN, Wi-Max, C-Band -- Design and Analysis of Dual AlN/SiN passivation layer for mitigation of Self-Heating in HEMTs -- Design, Simulation and Optimization of Extended Interaction Cavities for a C Band Multi-beam High Efficiency Klystron -- Performance Comparision of Different Digital Image Filters Used for Biomedical Signals…”

Tabla de Contenidos: “…Front Cover -- Deep Learning Through Sparse and Low-Rank Modeling -- Copyright -- Contents -- Contributors -- About the Editors -- Preface -- Acknowledgments -- 1 Introduction -- 1.1 Basics of Deep Learning -- 1.2 Basics of Sparsity and Low-Rankness -- 1.3 Connecting Deep Learning to Sparsity and Low-Rankness -- 1.4 Organization -- References -- 2 Bi-Level Sparse Coding: A Hyperspectral Image Classi cation Example -- 2.1 Introduction -- 2.2 Formulation and Algorithm -- 2.2.1 Notations -- 2.2.2 Joint Feature Extraction and Classi cation -- 2.2.2.1 Sparse Coding for Feature Extraction -- 2.2.2.2 Task-Driven Functions for Classi cation -- 2.2.2.3 Spatial Laplacian Regularization -- 2.2.3 Bi-level Optimization Formulation -- 2.2.4 Algorithm -- 2.2.4.1 Stochastic Gradient Descent -- 2.2.4.2 Sparse Reconstruction -- 2.3 Experiments -- 2.3.1 Classi cation Performance on AVIRIS Indiana Pines Data -- 2.3.2 Classi cation Performance on AVIRIS Salinas Data -- 2.3.3 Classi cation Performance on University of Pavia Data -- 2.4 Conclusion -- 2.5 Appendix -- References -- 3 Deep l0 Encoders: A Model Unfolding Example -- 3.1 Introduction -- 3.2 Related Work -- 3.2.1 l0- and l1-Based Sparse Approximations -- 3.2.2 Network Implementation of l1-Approximation -- 3.3 Deep l0 Encoders -- 3.3.1 Deep l0-Regularized Encoder -- 3.3.2 Deep M-Sparse l0 Encoder -- 3.3.3 Theoretical Properties -- 3.4 Task-Driven Optimization -- 3.5 Experiment -- 3.5.1 Implementation -- 3.5.2 Simulation on l0 Sparse Approximation -- 3.5.3 Applications on Classi cation -- 3.5.4 Applications on Clustering -- 3.6 Conclusions and Discussions on Theoretical Properties -- References -- 4 Single Image Super-Resolution: From Sparse Coding to Deep Learning -- 4.1 Robust Single Image Super-Resolution via Deep Networks with Sparse Prior -- 4.1.1 Introduction -- 4.1.2 Related Work…”

Tabla de Contenidos: “…Vibration-based diagnosis of defect embedded in inner raceway of ball bearing using 1D convolutional neural network -- 3.1 Introduction -- 3.2 2D CNN-a brief introduction -- 3.3 1D convolutional neural network -- 3.4 Statistical parameters for feature extraction -- 3.5 Dataset used -- 3.6 Results -- 3.7 Conclusion -- References -- 4. …”

Tabla de Contenidos: “…Creating a simple Django view -- Creating a Bitcoin candlestick view -- Integrating more pricing indicators -- Integrating the image into a Django template -- Summary -- Chapter 9: Matplotlib in the Real World -- Typical API data formats -- CSV -- JSON -- Importing and visualizing data from a JSON API -- Using Seaborn to simplify visualization tasks -- Scraping information from websites -- Matplotlib graphical backends -- Non-interactive backends -- Interactive backends -- Creating animated plot -- Summary -- Chapter 10: Integrating Data Visualization into the Workflow -- Getting started -- Visualizing sample images from the dataset -- Importing the UCI ML handwritten digits dataset -- Plotting sample images -- Extracting one sample each of digits 0-9 -- Examining the randomness of the dataset -- Plotting the 10 digits in subplots -- Exploring the data nature by the t-SNE method -- Understanding t-Distributed stochastic neighbor embedding -- Importing the t-SNE method from scikit-learn -- Drawing a t-SNE plot for our data -- Creating a CNN to recognize digits -- Evaluating prediction results with visualizations -- Examining the prediction performance for each digit -- Extracting falsely predicted images -- Summary -- Index…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Foreword -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started -- Basic concepts and terminologies in NLP -- Text corpus or corpora -- Paragraph -- Sentences -- Phrases and words -- N-grams -- Bag-of-words -- Applications of NLP -- Analyzing sentiment -- Recognizing named entities -- Linking entities -- Translating text -- Natural Language Inference -- Semantic Role Labeling -- Relation extraction -- SQL query generation, or semantic parsing -- Machine Comprehension -- Textual Entailment -- Coreference resolution -- Searching -- Question answering and chatbots -- Converting text-to-voice -- Converting voice-to-text -- Speaker identification -- Spoken dialog systems -- Other applications -- Summary -- Chapter 2: Text Classification and POS Tagging Using NLTK -- Installing NLTK and its modules -- Text preprocessing and exploratory analysis -- Tokenization -- Stemming -- Removing stop words -- Exploratory analysis of text -- POS tagging -- What is POS tagging? …”

Tabla de Contenidos: “…-- Refactoring of methods -- Extract method -- Inline method -- Extract variable -- Inline temp -- Replace temp with query -- Split temporary variable -- Remove assignments to parameters -- Replace method with method object -- Substitute algorithm -- Summary -- Chapter 9: Performance Matters -- Improving display performances -- Optimizing layouts -- Optimizing layout hierarchies -- Views on demand -- Define a ViewStub -- Improving scrolls and other elements in the app -- Using a background thread -- Holding view objects in a ViewHolder -- Understanding network requests, computation and memory -- Collecting, analyzing and optimizing the network and network traffic -- Collection network traffic information -- Taging network requests -- Configuring a network test build type -- Deploying the network test APK -- Runing the network traffic tool -- Analyzing Network Traffic Data -- Analyzing network traffic types -- Optimizing network use -- Batching and Job Schedulers -- JobInfo -- JobService -- JobScheduler -- Effective use of Extended Doze and Standby -- Understanding Doze -- Doze restrictions -- Adapting your app to Doze -- Understanding App Standby -- Testing with Doze and App Standby -- Threads and Pools -- Specifying the Code to Run on a Thread…”

Tabla de Contenidos: “…Meyer Seaweed Hydrocolloid Production: An Update on Enzyme Assisted Extraction and Modification Technologies doi: 10.3390/md13063340 -- Pai-An Hwang, Ming-De Yan, Hong-Ting Victor Lin, Kuan-Lun Li and Yen-Chang Lin Toxicological Evaluation of Low Molecular Weight Fucoidan in Vitro and in Vivo doi: 10.3390/md14070121 -- Shangyong Li, Linna Wang, Jianhua Hao, Mengxin Xing, Jingjing Sun and Mi Sun Purification and Characterization of a New Alginate Lyase from Marine Bacterium Vibrio sp. …”

Tabla de Contenidos: “…Antofagasta's recent rise in unemployment has created a stark economic challenge offsetting the region's demographic advantage -- Regional economic trends -- Antofagasta is thriving, with the mining sector fuelling robust economic growth in the region -- Yet, the region is still not using all of the wealth generated to improve living standards at a faster pace -- With a solid foundation in mining, Antofagasta's economy needs to steadily diversify and expand into new sectors to sustain its growth -- Despite mining's dominance, Antofagasta's employment allocation has shown signs of diversification, particularly into public services and hospitality -- Antofagasta, the productivity powerhouse amidst an extractive economy -- Antofagasta's level of formal employment, when compared to Chile, displays less dependence on informal self-employment -- Well-being in Antofagasta region -- Quality of life in the region of Antofagasta -- Snapshot of quality of life in the different subregions of Antofagasta -- Community dimension -- Environmental dimension -- A snapshot of well-being in Indigenous communities -- Annex 2.A. …”

Tabla de Contenidos: “…Intro -- Page de titre -- Collection Update Sciences &amp -- Technologies -- Page de Copyright -- Dedicace -- Avant-propos -- Remerciements -- Sommaire -- Introduction -- Chapitre 1 - La modélisation d'accompagnement : une méthode de recherche participative et adaptative -- Organisation d'une démarche de modélisation d'accompagnement -- Une démarche itérative -- Invariants observés dans la mise en œuvre -- Discussion -- Chapitre 2 - La posture du commodien : un savoir être, des savoir-faire -- La posture du commodien : principes d'un savoir-être original -- Place du commodien lors de l'initialisation de la démarche -- Rôles du commodien et techniques d'animation employées -- La posture d'intervention du commodien ne peut être naïve -- Chapitre 3 - Des modèles pour partager des représentations -- Choix des systèmes multi-agents pour décrire un domaine d'étude -- Extraction de connaissances et abstraction : du système de référence au modèle du domaine -- Formalisation des connaissances et conceptualisation : du modèle du domaine au modèle conceptuel -- Implémentation : du modèle conceptuel au modèle de simulation -- Des modèles de simulation pour explorer collectivement des futurs possibles -- Singularité, complémentarité et polyvalence des outils de modélisation -- Chapitre 4 - Contextes et dépendances des processus d'accompagnement -- Évolution de la prise en compte du contexte social et environnemental et du contexte social d'intervention -- Le contexte dans la démarche ComMod -- Prise en compte du contexte et ses conséquences -- Conclusion -- Chapitre 5 - Les asymétries de pouvoir dans les processus d'accompagnement -- Jeux de pouvoir et légitimité des démarches participatives : cadrage théorique -- Résultats : des profils contrastés -- Discussion : des divergences aux concordances -- Conclusion…”

“…Decisions must be made around how to extract and publish data, how to map to the 837 EDI standard, and how to appropriately batch and deliver data. …”

Tabla de Contenidos: “…Concordances and Indexed Lists3.3. Term Extraction and Simple Indexes; 3.4. Autoencoding and Indexing with Nomenclatures; 3.5. …”

Tabla de Contenidos: “…Step 4: Calculate the Reconstruction Loss Based on the Original Data -- Step 5: Select the Most Anomalous Digit Based on the Error Metric Score -- Output -- Summary -- Chapter 8: Image Super-Resolution -- Up-Scaling Using the Nearest Neighbor Concept -- Understanding Bilinear Up-Scaling -- Variational Autoencoders -- Generative Adversarial Networks -- The Model Code -- Model Development -- Imports -- Running the Application -- Summary -- Chapter 9: Video Analytics -- Problem Statement -- Approach -- Implementation -- Data -- Uploading the Required Videos to Google Colab -- Convert the Video to a Series of Images -- Image Extraction -- Data Preparation -- Identify the Hotspots in a Retail Store -- Importing Images -- Getting Crowd Counts -- Security and Surveillance -- Identify the Demographics (Age and Gender) -- Summary -- Chapter 10: Explainable AI for Computer Vision -- Grad-CAM -- Grad-CAM++ -- NBDT -- Step 1 -- Step 2 -- Steps 3 and 4 -- Grad-CAM and Grad-CAM++ Implementation -- Grad-CAM and Grad-CAM++ Implementation on a Single Image -- NBDT Implementation on a Single Image -- Summary -- Index…”