Tabla de Contenidos: “…Development of biblical interpretation in the Syrian Churches of the Middle Ages / by Lucas van Rompay -- 37. Elements of biblical interpretation in Medieval Jewish-Christian disputation / by Günter Stemberger…”

Tabla de Contenidos: “…Maximum lift and boundary-layer separation on single-element airfoils 7.4.4 ... Multielement airfoils and the slot effect 7.4.5 ... …”

Tabla de Contenidos: “…-- 1.5 Zusammenfassung -- 2 Menschen- und Maschinensprache -- 2.1 Deep Learning für Natural Language Processing -- 2.1.1 Deep-Learning-Netze lernen Repräsentationen automatisch -- 2.1.2 Natural Language Processing -- 2.1.3 Eine kurze Geschichte des Deep Learning für NLP -- 2.2 Repräsentationen von Sprache im Computer -- 2.2.1 1-aus-n-Repräsentationen von Wörtern -- 2.2.2 Wortvektoren -- 2.2.3 Wortvektor-Arithmetik -- 2.2.4 word2viz -- 2.2.5 Lokalistische versus verteilte Repräsentationen -- 2.3 Elemente der natürlichen menschlichen Sprache -- 2.4 Google Duplex -- 2.5 Zusammenfassung -- 3 Maschinenkunst -- 3.1 Eine feuchtfröhliche Nacht -- 3.2 Berechnungen auf nachgemachten menschlichen Gesichtern -- 3.3 Stiltransfer: Fotos in einen Monet verwandeln (und umgekehrt) -- 3.4 Machen Sie Ihre eigenen Skizzen fotorealistisch -- 3.5 Fotorealistische Bilder aus Text erzeugen -- 3.6 Bildverarbeitung mittels Deep Learning -- 3.7 Zusammenfassung -- 4 Spielende Maschinen -- 4.1 Deep Learning, KI und andere Monster -- 4.1.1 Künstliche Intelligenz -- 4.1.2 Machine Learning -- 4.1.3 Representation Learning -- 4.1.4 Künstliche neuronale Netze -- 4.1.5 Deep Learning -- 4.1.6 Maschinelles Sehen -- 4.1.7 Natural Language Processing -- 4.2 Drei Arten von Machine-Learning-Problemen -- 4.2.1 Supervised Learning -- 4.2.2 Unsupervised Learning -- 4.2.3 Reinforcement Learning -- 4.3 Deep Reinforcement Learning -- 4.4 Videospiele -- 4.5 Brettspiele -- 4.5.1 AlphaGo…”

Tabla de Contenidos: “…-- 6.11.1 Execution Frames -- 6.11.2 Rekursionstiefe‌ -- 6.12 Funktion‌en als Objekte -- 6.12.1 Hintergrund: Typen sind keine Funktionen -- 6.13 Lambda-Formen‌ -- 6.14 Funktionsannotationen: Typen zuordnen -- 6.15 Hinweise zum Programmierstil‌ -- 6.15.1 Allgemeines -- 6.15.2 Funktionsnamen -- 6.15.3 Kommentierte Parameter -- 6.15.4 Docstrin‌gs -- 6.16 Aufgaben -- 6.17 Lösungen -- Kapitel 7: Sequenzen, Mengen und Generatoren -- 7.1 Gemeinsame Operationen für Sequen‌zen -- 7.1.1 Zugriff auf Elemente einer Sequenz -- 7.1.2 Slicing‌‌ von Sequenzen -- 7.1.3 Auspacken (unpacking) -- 7.2 Vertiefung: Rekursive Funktionen für Sequenzen -- 7.2.1 Rekursives Summieren -- 7.2.2 Rekursive Suche -- 7.3 Tupel‌ -- 7.4 Liste‌n -- 7.4.1 Eine List‌e erzeugen -- 7.4.2 Eine Liste‌ verändern -- 7.4.3 Flache und tiefe Kopie‌‌n -- 7.4.4 Liste‌n sortieren‌ -- 7.4.5 Binäre Suche‌‌ in einer sortierten Liste -- 7.4.6 Zwei Sortierverfahren‌ im Vergleich -- 7.4.7 Modellieren mit Liste‌n - Beispiel: die Charts‌ -- 7.5 Generator‌en -- 7.5.1 Generator‌ausdrücke…”

Tabla de Contenidos: “…Comment assurer l'équilibre des éléments de retraite ? -- 6.1. Introduction -- 6.2. …”

Tabla de Contenidos: “…-- 11.4 Models -- 11.5 Uses of Clustering -- 11.5.1 In Character of Most Tumor Cells -- 11.5.2 In Web Crawlers Like Google -- 11.5.3 Shopper Segmentation -- 11.5.4 In Biology -- 11.5.5 In Land Use -- 11.6 Bunching Algorithms or Clustering Algorithms -- 11.6.1 K-Means Clustering -- 11.6.2 Mean-Shift Clustering -- 11.6.3 Thickness or Density-Based Spatial Clustering of Application with Noise (DBSCAN) -- 11.6.4 Assumption Maximization Clustering Utilizing Gaussian Combination Models -- 11.6.5 Agglomerative Hierarchical Clustering -- 11.7 Instances of Clustering Algorithms -- 11.7.1 Library Setup -- 11.7.2 Grouping or Clustering Dataset -- 11.7.3 Fondness or Affinity Propagation -- 11.7.4 Agglomerative Clustering -- 11.7.5 BIRCH -- 11.7.6 DBSCAN -- 11.7.7 K-Means -- 11.7.8 Mini-Batch K-Means -- 11.7.9 Mean Shift -- 11.7.10 OPTICS -- 11.7.11 Unearthly or Spectral Clustering -- 11.7.12 Gaussian Mixture Model -- 11.8 Python Implementation of K-Means -- 11.8.1 Stacking the Data -- 11.8.2 Plotting the Information -- 11.8.3 Choosing the Component -- 11.8.4 Clustering -- 11.8.5 Clustering Results -- 11.8.6 WCSS and Elbow Technique -- 11.8.7 Uses of K-Mean Bunching -- 11.8.8 Benefits of K-Means -- 11.8.9 Bad Marks of K-MEAN -- References -- Chapter 12 Reinforcement Learning -- 12.1 Model -- 12.2 Terms Utilized in Reinforcement Learning -- 12.3 Key Elements of Reinforcement Learning -- 12.4 Instances of Reinforcement Learning -- 12.5 Advantages of Reinforcement Learning -- 12.6 Challenges with Reinforcement Learning -- 12.7 Sorts of Reinforcement -- 12.7.1 Positive -- 12.7.2 Negative…”

Tabla de Contenidos: “…Introduction to EDI technology and WebSphere Data Interchange -- 13.1 EDI terms and concepts -- 13.2 Benefits of EDI -- 13.3 EDI components -- 13.3.1 Message standards -- 13.3.2 Communication -- 13.4 The evolution of EDI -- 13.4.1 Elements of an EDI solution -- 13.4.2 The IBM EDI solution -- 13.4.3 Features of WebSphere Data Interchange -- 13.5 Usage patterns for WebSphere Data Interchange -- 13.5.1 A point-to-point solution…”

Tabla de Contenidos: “…Planning your directory -- 3.1 Defining the directory content -- 3.1.1 Defining directory requirements -- 3.2 Data design -- 3.2.1 Sources for data -- 3.2.2 Characteristics of data elements -- 3.2.3 Related data -- 3.3 Organizing your directory -- 3.3.1 Schema design -- 3.3.2 Namespace design -- 3.3.3 Naming style -- 3.4 Securing directory entries -- 3.4.1 Purpose -- 3.4.2 Analysis of security requirements -- 3.4.3 Design overview -- 3.4.4 Authentication design…”

Tabla de Contenidos: “…15.15.3 Creating a global element with a global type…”

Tabla de Contenidos: “…-- 2.4 Exercises -- Chapter 3: The R Programming Language -- 3.1 Get the Software -- 3.1.1 A look at RStudio -- 3.2 A Simple Example of R in Action -- 3.2.1 Get the programs used with this book -- 3.3 Basic Commands and Operators in R -- 3.3.1 Getting help in R -- 3.3.2 Arithmetic and logical operators -- 3.3.3 Assignment, relational operators, and tests of equality -- 3.4 Variable Types -- 3.4.1 Vector -- 3.4.1.1 The combine function -- 3.4.1.2 Component-by-component vector operations -- 3.4.1.3 The colon operator and sequence function -- 3.4.1.4 The replicate function -- 3.4.1.5 Getting at elements of a vector -- 3.4.2 Factor -- 3.4.3 Matrix and array -- 3.4.4 List and data frame -- 3.5 Loading and Saving Data -- 3.5.1 The read.csv and read.table functions…”

Tabla de Contenidos: “…The gears of neural networks: tensor operations -- 2.3.1. Element-wise operations -- 2.3.2. Broadcasting -- 2.3.3. …”

Tabla de Contenidos: “…-- 2.2 A pretrained model that fakes it until it makes it -- 2.2.1 The GAN game -- 2.2.2 CycleGAN -- 2.2.3 A network that turns horses into zebras -- 2.3 A pretrained network that describes scenes -- 2.3.1 NeuralTalk2 -- 2.4 Torch Hub -- 2.5 Conclusion -- 2.6 Exercises -- 2.7 Summary -- 3 It starts with a tensor -- 3.1 The world as floating-point numbers -- 3.2 Tensors: Multidimensional arrays -- 3.2.1 From Python lists to PyTorch tensors -- 3.2.2 Constructing our first tensors -- 3.2.3 The essence of tensors -- 3.3 Indexing tensors -- 3.4 Named tensors -- 3.5 Tensor element types -- 3.5.1 Specifying the numeric type with dtype -- 3.5.2 A dtype for every occasion -- 3.5.3 Managing a tensor's dtype attribute -- 3.6 The tensor API -- 3.7 Tensors: Scenic views of storage -- 3.7.1 Indexing into storage -- 3.7.2 Modifying stored values: In-place operations…”

Tabla de Contenidos: “…Entdeckungszusammenhang -- Begründungszusammenhang -- Verwendungszusammenhang -- Literaturverzeichnis -- Abbildung 1 Identifizierte Forschungslücke -- Abbildung 2 Konsumentenverhalten als Element im -- Wissenschaftssystem -- Abbildung 3 Gang der Untersuchung -- Abbildung 4 Forschungsansätze des Konsumentenverhaltens -- Abbildung 5 Paradigmen der Konsumentenverhaltensforschung -- Abbildung 6 Prozess der Einkaufsstättenwahl -- Abbildung 7 Sequence of Effects in Store Choice --…”

Tabla de Contenidos: “…Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface to the Second Edition -- Author -- Part I Introduction to Cellular and Molecular Biology -- 1 The Cellular System and the Code of Life -- 1.1 The Cellular Challenge -- 1.2 How Cells Meet the Challenge -- 1.3 Molecules in Cells -- 1.4 Intracellular Structures Or Spaces -- 1.4.1 Nucleus -- 1.4.2 Cell Membrane -- 1.4.3 Cytoplasm -- 1.4.4 Endosome, Lysosome, and Peroxisome -- 1.4.5 Ribosome -- 1.4.6 Endoplasmic Reticulum -- 1.4.7 Golgi Apparatus -- 1.4.8 Cytoskeleton -- 1.4.9 Mitochondrion -- 1.4.10 Chloroplast -- 1.5 The Cell as a System -- 1.5.1 The Cellular System -- 1.5.2 Systems Biology of the Cell -- 1.5.3 How to Study the Cellular System -- References -- 2 DNA Sequence: The Genome Base -- 2.1 The DNA Double Helix and Base Sequence -- 2.2 How DNA Molecules Replicate and Maintain Fidelity -- 2.3 How the Genetic Information Stored in DNA Is Transferred to Protein -- 2.4 The Genomic Landscape -- 2.4.1 The Minimal Genome -- 2.4.2 Genome Sizes -- 2.4.3 Protein-Coding Regions of the Genome -- 2.4.4 Non-Coding Genomic Elements -- 2.5 DNA Packaging, Sequence Access, and DNA-Protein Interactions -- 2.5.1 DNA Packaging -- 2.5.2 Sequence Access -- 2.5.3 DNA-Protein Interactions -- 2.6 DNA Sequence Mutation and Polymorphism -- 2.7 Genome Evolution -- 2.8 Epigenome and DNA Methylation -- 2.9 Genome Sequencing and Disease Risk -- 2.9.1 Mendelian (Single-Gene) Diseases -- 2.9.2 Complex Diseases That Involve Multiple Genes -- 2.9.3 Diseases Caused By Genome Instability -- 2.9.4 Epigenomic/Epigenetic Diseases -- References -- 3 RNA: The Transcribed Sequence -- 3.1 RNA as the Messenger -- 3.2 The Molecular Structure of RNA -- 3.3 Generation, Processing, and Turnover of RNA as a Messenger -- 3.3.1 DNA Template -- 3.3.2 Transcription of Prokaryotic Genes…”

Tabla de Contenidos: “…Typical parameters and phenomena -- 4.3.2 FO process design constraints and considerations -- 4.3.3 Best practices Transmembrane Pressure (TMP) -- 4.4 DATA ANALYSIS: BASIC FO PROCESS DESIGN -- 4.4.1 FO Fundamental Equations -- 4.4.2 FO Module Mass Balance -- 4.4.3 FO Design Considerations -- 4.5 APPLICATION EXAMPLES -- 4.6 OUTLOOK -- 4.7 REFERENCES -- Chapter 5: Membrane Distillation -- 5.1 INTRODUCTION -- 5.2 MATERIALS, EXPERIMENTAL SET-UP -- 5.2.1 MD membranes -- 5.2.1.1 Membrane properties -- 5.2.1.2 Membrane materials -- 5.2.2 Experimental set-up -- 5.2.2.1 MD confi gurations -- 5.2.3 Process -- 5.2.3.1 MD system -- 5.2.3.2 Operating parameters -- 5.2.4 MD modules -- 5.3 METHODS -- 5.3.1 Process measurements and calculations -- 5.3.1.1 Permeate flux -- 5.3.1.2 Solute rejection -- 5.3.1.3 Logarithmic temperature difference -- 5.3.2 Membrane characterization -- 5.3.2.1 Physical and morphology properties -- 5.3.2.2 Chemical properties (a) Elemental composition -- 5.3.2.3 Thermal properties (a) Thermal conductivity -- 5.5 OUTLOOK -- 5.6 REFERENCES -- Part 2: Particulate fouling -- Chapter 6: Silt Density Index -- 6.0 ABSTRACT…”

Tabla de Contenidos: “…9.6 Problem Constraints -- 9.6.1 Genetic Algorithm -- 9.6.2 Balanced Source Distribution with DL Cost -- 9.7 Virtual Network Embedding -- 9.7.1 Specification of Virtual Network Embedding -- 9.7.2 System Model -- 9.7.3 Open Flow Enabled Network -- 9.7.4 Network Model -- 9.7.5 Interference Model -- 9.8 Algorithm on Interference Modeling and Channel Selection Process -- 9.8.1 Interference Aware Routing Algorithm -- 9.8.2 Channel Assignment Algorithm -- 9.8.3 The MCM Algorithm -- 9.9 Performance Evaluation -- 9.9.1 Network Model -- 9.9.2 Load Design Algorithm -- 9.9.3 Simulation Settings -- 9.9.4 Performance Metrics -- 9.10 Performance Results -- 9.10.1 Handling with WL Intervention -- 9.10.2 Evaluating the Multicast Gain -- 9.10.3 Clique Utilization Balancing -- 9.10.4 Analysis of Switch Resource Consumption -- 9.10.5 Embedding Method Selection: Integer Linear Programming Vs Genetic Algorithm -- 9.11 Conclusion -- References -- Chapter 10 Advanced Wireless Mobile Network on Financial Literacy -- 10.1 Introduction -- 10.2 Statement of the Problem -- 10.3 Objectives of the Study -- 10.4 Hypothesis -- 10.5 Sampling Design -- 10.6 Literature Review -- 10.7 Methodology -- 10.8 Measurement of Financial Literacy -- 10.9 Elements of Financial Literacy -- 10.10 Financial Literacy Among Scheduled Community -- 10.11 Age Wise Status of Financial Literacy -- 10.12 Financial Literacy Among Scheduled Communities of Different Age Group - ANOVA -- 10.12.1 Null Hypothesis -- 10.13 Financial Literacy and its Relationship with Gender -- 10.13.1 Null Hypothesis -- 10.14 Financial Literacy and its Relationship with Marital Status -- 10.14.1 Null Hypothesis -- 10.15 Financial Literacy and its Relationship with Religion -- 10.15.1 Null Hypothesis -- 10.16 Financial Literacy Among Scheduled Communities of Different Educational Qualification - ANOVA -- 10.16.1 Null Hypothesis…”

Tabla de Contenidos: “…-- 3.5 Digitalisation and Digitisation -- 3.6 Data, Models, and Algorithm -- 3.7 Transformative Technologies -- 3.7.1 Artificial Intelligence (AI) -- 3.7.2 The Internet of Things (IoT) -- 3.7.3 Blockchain -- 3.7.4 Some Implications -- 3.8 Artificial Intelligence vs Industrial Artificial Intelligence -- 3.8.1 Key Elements in Industrial AI: ABCDE -- 3.8.2 Industrial AI Ecosystem -- 3.8.2.1 Data Technology -- 3.8.2.2 Analytics Technology -- 3.8.2.3 Platform Technology -- 3.8.2.4 Operations Technology -- 3.9 Autonomy and Automation -- 3.9.1 Autonomy and Asset Management -- 3.9.2 Drones and Robots -- 3.9.2.1 Deploying Robots -- 3.9.3 Strong Automation Base Layer -- 3.9.4 Autonomy in Industry Today -- 3.9.4.1 Challenges of Autonomy -- 3.10 Digital Transformation -- 3.10.1 Defining Digital Transformation…”

Tabla de Contenidos: “…8.3 Fundamental symptoms and conditions responsible for COVID-19 infection -- 8.4 Proposed COVID-19 detection methodology -- 8.5 Brief description of artificial neural networks -- 8.5.1 Principles of artificial neural network -- 8.6 Parameter settings for the proposed ANN model -- 8.7 Experimental results and discussion -- 8.8 Performance comparison between ANN and other classification algorithms -- 8.9 Conclusion -- Appendix -- References -- 9 Rapid medical guideline systems for COVID-19 using database-centric modeling and validation of cyber-physical systems -- 9.1 Introduction -- 9.2 Global pandemic of COVID-19 -- 9.3 Database-centric cyber-physical systems for COVID-19 -- 9.3.1 Cyber-physical systems -- 9.3.2 Flow of rapid database-centric cyber-physical system -- 9.4 Modeling and validation of rapid medical guideline systems -- 9.5 Conclusion -- References -- 10 Machine learning and security in Cyber Physical Systems -- 10.1 Introduction -- 10.2 Related work -- 10.2.1 Phishing -- 10.2.2 Intrusion detection for networks -- 10.2.3 Key stroke elements validation -- 10.2.4 Breaking human collaboration proofs (CAPTHAs) -- 10.2.5 Cryptography -- 10.2.6 Spam detection for social networking -- 10.3 Motivation -- 10.4 Importance of cyber security and machine learning -- 10.5 Machine learning for CPS applications -- 10.6 Future for CPS technology -- 10.6.1 Cyber physical systems and human -- 10.6.2 CPS and artificial intelligence -- 10.6.3 Trustworthy -- 10.6.4 Cyber physical systems of systems -- 10.7 Challenges and opportunities in CPS -- 10.8 Conclusion -- References -- 11 Impact analysis of COVID-19 news headlines on global economy -- 11.1 Introduction -- 11.2 Related work -- 11.3 Proposed methodology -- 11.3.1 Data and data preprocessing -- 11.3.2 Sentiment analysis -- 11.3.2.1 Machine learning -- 11.3.2.2 Deep learning -- 11.3.2.3 Lexicon method…”

Tabla de Contenidos: “…7.6 Conclusions -- References -- Chapter 8 Trading Bot for Cryptocurrency Market Based on Smart Price Action Strategies -- 8.1 Introduction -- 8.2 Background -- 8.3 Proposed Framework -- 8.4 Results -- 8.5 Conclusion and Future Scope -- References -- Chapter 9 Comparative Evaluation and Prediction of Exoplanets Using Machine Learning Methods -- 9.1 Introduction -- 9.2 Background -- 9.3 Proposed Framework -- 9.4 Results -- 9.5 Conclusion and Future Scope -- References -- Chapter 10 The Risk of Using Failure Rate With the Help of MTTF and MTBF to Calculate Reliability -- 10.1 Introduction -- 10.2 Failure -- 10.2.1 Failure Rate -- 10.2.2 Mean Time Between Failure -- 10.2.3 Mean Time to Failure -- 10.2.4 Reliability -- 10.2.5 Fault Tree Analysis -- 10.2.6 Fault Tree Symbols Logic Entrance -- 10.2.6.1 OR-Gate -- 10.2.6.2 AND-Gate -- 10.2.7 Regulations for Fault Tree Structure -- 10.2.7.1 Illustrate the Fault Actions -- 10.2.7.2 Estimate the Fault Events -- 10.2.7.3 Inclusive the Gates -- 10.3 Conclusion -- References -- Chapter 11 A Detailed Description on Various Techniques of Edge Detection Algorithms -- 11.1 Introduction -- 11.2 Edge Detection Techniques -- 11.2.1 Steps in Edge Detection -- 11.2.2 Gradient-Based Techniques -- 11.2.2.1 Sobel Edge Detected Operator -- 11.2.2.2 Prewitt Edge Detected Operator -- 11.2.2.3 Robert Cross Edge Detection Operator -- 11.2.3 Gaussian Based Technique -- 11.2.3.1 Canny Edge Detector -- 11.2.3.2 Canny Operator Architecture -- 11.3 Experimental Results -- 11.4 Comparative Results -- 11.5 Conclusion -- 11.6 Future Work -- References -- Chapter 12 Advancement of ML in Smart House -- 12.1 Objective -- 12.2 Introduction -- 12.3 Smart House System With IoT -- 12.3.1 Elements of Smart Home -- 12.3.2 Smart Home Application Framework -- 12.3.2.1 Cloud Computing in IoT -- 12.3.2.2 Smart House System…”

Tabla de Contenidos: “…10.3 Pre-defined Streams -- 10.4 Buffering -- 10.5 Stream Classes -- 10.6 Formatted and Unformatted Data -- 10.7 Input/Output using Extraction (&gt -- &gt -- ) and Insertion (&lt -- &lt -- ) Operators -- 10.7.1 Input and Output Streams -- 10.8 Writing Simple C++ Programs with/without Comments -- 10.9 Typecasting with cout Statement -- 10.10 Formatted Console I/O Operations -- Summary -- Exercises -- Chapter 11: Control Structures -- 11.1 Introduction -- 11.2 Decision-making Statements -- 11.3 The if-else Statement -- 11.4 The Nested if-else Statement -- 11.5 The goto Statement -- 11.6 The break Statement -- 11.7 The continue Statement -- 11.8 The switch case Statement -- 11.9 The Nested switch case Statement -- 11.10 Loops in C/C++ -- 11.11 The for Loop -- 11.12 Nested for Loops -- 11.13 The while Loop -- 11.14 The do-while Loop -- Summary -- Exercises -- Chapter 12: Functions in C++ -- 12.1 Introduction -- 12.2 The main () Function in C and C++ -- 12.3 Structure of a Function -- 12.3.1 Function Prototypes -- 12.3.2 Function Definition -- 12.3.3 Function Call -- 12.3.4 Actual and Formal Arguments -- 12.3.5 The return Statement -- 12.4 Passing Arguments -- 12.4.1 Pass by Value -- 12.4.2 Pass by Address -- 12.4.3 Passing by Reference -- 12.5 Return by Reference -- 12.6 Returning More Values by Reference -- 12.7 Default Arguments -- 12.8 The const Argument -- 12.9 Inputting Default Arguments -- 12.10 Inline Functions -- 12.11 Function Overloading -- 12.12 Library Functions -- 12.13 Recursion -- 12.14 Storage Class -- Summary -- Exercises -- Chapter 13: Arrays -- 13.1 Introduction -- 13.2 Array Declaration and Initialization -- 13.3 Characteristics of Arrays -- 13.4 Initialization of Arrays using Functions -- 13.5 Arrays of Classes -- 13.6 Passing Array Elements as Arguments to a Function -- 13.6.1 Call by Value -- 13.6.2 Call by Reference…”