Tabla de Contenidos: “…2.5.3.1 Heat and Mass Transfer -- 2.5.3.2 Quality Characteristics in Air Frying -- 2.5.4 Industrial Frying -- 2.5.4.1 Advantages of Industrial Frying -- 2.5.4.2 Quality Characteristics in Industrial Frying -- 2.6 Tips to Remember During Frying -- 2.7 Choice of Frying Method -- 2.8 Key Concepts -- References -- Chapter 3 Frying and Culture -- 3.1 Introduction -- 3.2 The Common Point -- 3.3 Frying in American Cuisines -- 3.4 Frying in European Cuisines -- 3.5 Frying in Asian Cuisines -- 3.6 Frying in African Cuisines -- 3.7 Frying in Middle Eastern Cuisines -- 3.8 Key Concepts -- References -- Part II Chemistry of Food Frying -- Chapter 4 Chemistry of the Frying Medium -- 4.1 Frying Medium -- 4.2 Classification and Choice of Frying Medium -- 4.2.1 Appearance and Colour -- 4.2.2 Odour and Flavour -- 4.2.3 Texture of the Fried Food -- 4.2.4 Taste -- 4.2.5 Nutritional Value -- 4.2.6 Availability and Economy -- 4.3 Chemistry of the Frying Medium -- 4.3.1 Fatty Acids and Triacylglycerols -- 4.3.2 Polyphenolic Compounds -- 4.3.3 Hydrocarbons -- 4.3.4 Pigments -- 4.3.5 Sterols -- 4.3.6 Alcohols -- 4.3.7 Tocopherols and Tocotrienols -- 4.3.8 Phospholipids -- 4.3.9 Volatile and Aroma Compounds -- 4.3.10 Importance of Minor Components in Frying -- 4.4 Chemistry of Lipid Oxidation During Frying -- 4.4.1 Fatty Acid Hydroperoxides -- 4.4.2 Fatty Acid Epoxides -- 4.4.3 Formation of Acrolein -- 4.4.4 Oxidation of TAGs -- 4.4.5 Polymerization -- 4.5 Formation of Volatile Products -- 4.5.1 Significance of Volatile Products in Frying -- 4.6 Sterol Oxidation -- 4.7 Tocopherol Oxidation -- 4.8 Formation of Trans Fatty Acids -- 4.9 Techniques for Measuring Lipid Oxidation -- 4.9.1 Portable Oil Tester -- 4.9.2 Viscometer -- 4.9.3 Dielectric Constant -- 4.9.4 Colour Testing -- 4.9.5 FFA Testing -- 4.9.6 Flavour and Sensory Testing -- 4.10 Key Concepts -- References…”

Tabla de Contenidos: “…2.5.1 Carbon capture and storage -- 2.5.2 Lignite pre-drying -- 2.6 Summary -- Sources of further information -- References -- 3 - Biomass and agricultural residues for energy generation -- 3.1 Introduction -- 3.2 Biomass resources and supply chains -- 3.2.1 European and global woody biomass resources and supply chains -- 3.2.2 Herbaceous and fruit biomass resources and supply chains -- 3.3 Biomass properties and measurement of properties -- 3.3.1 Properties of biomass -- 3.3.2 Sampling and sample reduction -- 3.3.3 Measurement of main properties and applied standards -- 3.3.3.1 Proximate and ultimate analysis -- 3.3.3.2 Calorific value -- 3.3.3.3 Moisture content -- 3.3.3.4 Particle-size determination -- 3.3.3.5 Bulk density -- 3.4 Future trends -- Symbols and abbreviations -- Terminology -- References -- Two - Fuel preparation, handling and transport -- 4 - Biomass fuel transport and handling -- 4.1 Introduction -- 4.1.1 The critical importance of fuel handling to cost-effective biomass fuel valorisation -- 4.1.2 The special features of biomass as a fuel -- 4.1.3 The underlying causes of handling problems with biomass -- 4.2 The challenges of biomass handling -- 4.2.1 Effect of low and variable volumetric energy density -- 4.2.2 Effect of variation of volumetric energy density on feeder, conveyor and store design -- 4.2.3 Moisture effects -- 4.3 Sources and types of biomass, and classifications according to handling properties -- 4.3.1 Identifying the class to which a biomass belongs -- 4.3.2 Typical common biomass materials and their classifications -- 4.3.3 Selection of handling equipment for different biomass materials, and compatibility between different fuels in common systems -- 4.4 Other considerations for compatibility of different fuels with a handling system -- 4.4.1 Need for stock rotation and limitation of storage time…”

Tabla de Contenidos: “…Cover -- Brief Contents -- Contents -- Pedagogical Features -- Preface -- Part I - Java Basics -- Chapter 1: Java Data Types,Operators and Console I/O Statements -- 1.1 Introduction -- 1.2 Java, World Wide Web and Sensor Devices -- 1.3 Java Editing Environments -- 1.4 Data types and Variables -- 1.5 Constants in Java -- 1.6 Java Operators -- 1.7 Type Casting and Boxing -- 1.8 Console I/O Statements -- 1.8.1 Command Line -- 1.8.2 Scanner -- 1.8.3 BufferedReader -- 1.8.4 DataInputStream -- 1.8.5 Console -- 1.9 Summary -- Key Terms -- Review Questions -- Exercises -- Chapter 2: Java Conditional and Looping Statements -- 2.1 Introduction -- 2.2 Conditional Statements -- 2.2.1 if Statement -- 2.2.2 Problem: Finding Biggest of Three Integers -- 2.2.3 if-else Statement -- 2.2.4 if-else-if Statement -- 2.2.5 Nested if Statement -- 2.2.6 Problem: Checking Leap Year -- 2.2.7 Multipoint Switch Statement -- 2.2.8 String Cases for Switch -- 2.3 Java Loping Statements -- 2.3.1 while Loop -- 2.3.2 do-while Loop -- 2.3.3 for Loop -- 2.3.4 Problem: Generating Multiplication Table -- 2.3.5 break, continue and assert Statements -- 2.4 Summary -- Key Terms -- Review Questions -- Exercises -- Chapter 3: Arrays in Java -- 3.1 Introduction -- 3.2 Declaring and Initializing Arrays -- 3.3 Accessing Array Elements -- 3.4 Problem: Sequential Search for a Key -- 3.5 Problem: Binary Search for a Key -- 3.6 The For-Each Statement -- 3.7 Problem: Finding Euclidean Distance Between Two Vectors -- 3.8 Problem: Reverse an Array Without Copying -- 3.9 Multidimensional Arrays -- 3.10 Problem: Transpose of a Matrix -- 3.11 Summary -- Key Terms -- Review Questions -- Exercises -- Chapter 4: Methods in Java -- 4.1 Introduction -- 4.2 Defining a Method -- 4.3 Calling a Method -- 4.4 Problem: Nested Method Calls -- 4.5 Problem: Calculate Area of Geometric Objects…”

Tabla de Contenidos: “…3.5.3 The barbershop problem: introducing fairness -- 3.5.4 Readers-writers -- 3.5.4.1 A solution favoring the readers -- 3.5.4.2 Giving priority to the writers -- 3.5.4.3 A fair solution -- 3.6 Monitors -- 3.6.1 Design approach 1: critical section inside the monitor -- 3.6.2 Design approach 2: monitor controls entry to critical section -- 3.7 Applying monitors in classical problems -- 3.7.1 Producers-consumers revisited -- 3.7.1.1 Producers-consumers: buffer manipulation within the monitor -- 3.7.1.2 Producers-consumers: buffer insertion/extraction exterior to the monitor -- 3.7.2 Readers-writers -- 3.7.2.1 A solution favoring the readers -- 3.7.2.2 Giving priority to the writers -- 3.7.2.3 A fair solution -- 3.8 Dynamic vs. static thread management -- 3.8.1 Qt's thread pool -- 3.8.2 Creating and managing a pool of threads -- 3.9 Debugging multithreaded applications -- 3.10 Higher-level constructs: multithreaded programming without threads -- 3.10.1 Concurrent map -- 3.10.2 Map-reduce -- 3.10.3 Concurrent filter -- 3.10.4 Filter-reduce -- 3.10.5 A case study: multithreaded sorting -- 3.10.6 A case study: multithreaded image matching -- Exercises -- Chapter 4: Shared-memory programming: OpenMP -- 4.1 Introduction -- 4.2 Your First OpenMP Program -- 4.3 Variable Scope -- 4.3.1 OpenMP Integration V.0: Manual Partitioning -- 4.3.2 OpenMP Integration V.1: Manual Partitioning Without a Race Condition -- 4.3.3 OpenMP Integration V.2: Implicit Partitioning with Locking -- 4.3.4 OpenMP Integration V.3: Implicit Partitioning with Reduction -- 4.3.5 Final Words on Variable Scope -- 4.4 Loop-Level Parallelism -- 4.4.1 Data Dependencies -- 4.4.1.1 Flow Dependencies -- 4.4.1.2 Antidependencies -- 4.4.1.3 Output Dependencies -- 4.4.2 Nested Loops -- 4.4.3 Scheduling -- 4.5 Task Parallelism -- 4.5.1 The sections Directive -- 4.5.1.1 Producers-Consumers in OpenMP…”

Tabla de Contenidos: “…-- 3.4 Managing Biases -- 3.5 Summary -- Chapter 4: Rule #2: Know the Domain -- 4.1 Cautionary Tale #1: ``Discovering'' Random Noise -- 4.2 Cautionary Tale #2: Jumping at Shadows -- 4.3 Cautionary Tale #3: It Pays to Ask -- 4.4 Summary -- Chapter 5: Rule #3: Suspect Your Data -- 5.1 Controlling Data Collection -- 5.2 Problems with Controlled Data Collection -- 5.3 Rinse (and Prune) Before Use -- 5.3.1 Row Pruning -- 5.3.2 Column Pruning -- 5.4 On the Value of Pruning -- 5.5 Summary -- Chapter 6: Rule #4: Data Science Is Cyclic -- 6.1 The Knowledge Discovery Cycle -- 6.2 Evolving Cyclic Development -- 6.2.1 Scouting -- 6.2.2 Surveying -- 6.2.3 Building -- 6.2.4 Effort -- 6.3 Summary -- Part II: Data Mining: A Technical Tutorial -- Chapter 7: Data Mining and SE -- 7.1 Some Definitions -- 7.2 Some Application Areas…”

Tabla de Contenidos: “…Exporting with ogr2ogr -- 4.4. Importing OpenStreetMap data with osm2pgsql -- 4.4.1. …”

Tabla de Contenidos: “…3.1.2 Es gilt deutsches Recht -- 3.1.3 Verhältnis zur Plattform / Investitionsschutz -- 3.1.4 Nutzungsbedingungen -- 3.2 Account-Name -- 3.2.1 Wahl des Account-Namens -- 3.2.2 ID-Grabbing -- 3.3 Impressum in Social Media -- 3.3.1 Impressumspflicht -- 3.3.2 Platzierung des Impressums -- 3.4 Gewinnspiele -- 3.4.1 Gewinnspiele und Glücksspiele -- 3.4.2 Rechtsrahmen von Gewinnspielen -- 3.4.3 Teilnahmebedingungen -- 3.4.4 Datenschutz -- 3.4.5 Besonderheiten bei Facebook -- 3.4.6 Besonderheiten in anderen sozialen Netzwerken -- 3.5 Schleichwerbung in Social Media -- 3.5.1 Falsche Fans -- 3.5.2 Gekaufte Bewertungen -- 3.5.3 Verkaufte Posts -- 3.5.4 Einsatz von Testimonials -- 3.6 Preisangaben in Social Media -- 3.7 User Generated Content in sozialen Netzwerken -- 3.7.1 Umgang mit User-Kommentaren -- 3.7.2 Urheberverletzungen durch Nutzer-Content -- 3.7.3 Community-Regeln -- 3.7.4 Besonderheiten bei Unternehmens-Blogs -- 3.8 Direktnachrichten -- 3.9 Werbeanzeigen auf Social-Media-Plattformen -- 3.10 Like-Button und Social-Plug-ins auf der Unternehmenswebsite -- 3.11 Social Media Guidelines -- 3.12 Betreuung von Social-Media-Kanälen durch Agenturen -- 3.13 Social Media Monitoring und CRM-Systeme -- 3.13.1 Datenschutzrechtliche Themen -- 3.13.2 Urheberrechtliche Probleme -- 3.13.3 Verbindung mit CRM-Tools -- 3.14 Verkauf von Blogs und Social-Media-Präsenzen -- 3.14.1 Verkauf eines Blogs -- 3.14.2 Übertragung von Profilen auf Facebook und Twitter -- Kapitel 4: Website-Inhalte und Content Marketing -- 4.1 Texte -- 4.2 Fotos -- 4.2.1 Urheberschutz an Fotos -- 4.2.2 Verwendung von Fotos auf der Unternehmenswebsite -- 4.2.3 Abgebildete Personen -- 4.2.4 Fotos von Firmenevents -- 4.3 Zeichnungen, Grafiken und Stadtpläne -- 4.4 Musik, Podcasts und Videos -- 4.5 Games -- 4.6 Links und Frames -- 4.6.1 Links - Verweisungen auf andere Seiten…”

Tabla de Contenidos: “…-- 4.3.6 Anzahl unterschiedlicher Einträge in einem Tabellenbereich‌ -- 4.3.7 Anzahl unterschiedlicher Einträge in einer gefilterten Liste -- 4.3.8 Duplikate‌ finden -- 4.4 Rangfolgen ermitteln -- 4.4.1 Zelle mit der kleinsten bzw. größten Zahl ermitteln - »relative« und »absolute« Zelladressierung -- 4.4.2 Die Rangfolge in der Reihe ermitteln…”

Tabla de Contenidos: “…Grundlegende Editierbefehle und Objektwahl -- 4.1 Übersicht über Editierbefehle -- 4.2 VERSETZ -- 4.3 STUTZEN und DEHNEN -- 4.3.1 Stutzen -- 4.3.2 Dehnen -- 4.4 ABRUNDEN, FASE und MISCHEN -- 4.4.1 Abrunden mit verschiedenen Radien -- 4.4.2 Abrunden mit Radius 0 -- 4.4.3 Fasen -- 4.4.4 Die Option POLYLINIE -- 4.4.5 Stutzen-Modus -- 4.4.6 Mischen (Kurven verschmelzen) -- 4.5 Objektwahl -- 4.5.1 Objektwahlmodi -- 4.5.2 Übereinander liegende Objekte: Wechselnde Auswahl…”

Tabla de Contenidos: “…3.2.2 Indirect Method Sensors -- 3.2.3 Dynamometer -- 3.2.4 Accelerometer -- 3.2.5 Acoustic Emission Sensor -- 3.2.6 Current Sensors -- 3.3 Other Sensors -- 3.3.1 Temperature Sensors -- 3.3.2 Optical Sensors -- 3.4 Interaction of Sensors During Machining Operation -- 3.4.1 Milling Machining -- 3.4.2 Turning Machining -- 3.4.3 Drilling Machining Operation -- 3.5 Sensor Fusion Technique -- 3.6 Interaction of Internet of Things -- 3.6.1 Identification -- 3.6.2 Sensing -- 3.6.3 Communication -- 3.6.4 Computation -- 3.6.5 Services -- 3.6.6 Semantics -- 3.7 IoT Technologies in Manufacturing Process -- 3.7.1 IoT Challenges -- 3.7.2 IoT-Based Energy Monitoring System -- 3.8 Industrial Application -- 3.8.1 Integrated Structure -- 3.8.2 Monitoring the System Related to Service Based on Internet of Things -- 3.9 Decision Making Methods -- 3.9.1 Artificial Neural Network -- 3.9.2 Fuzzy Inference System -- 3.9.3 Support Vector Mechanism -- 3.9.4 Decision Trees and Random Forest -- 3.9.5 Convolutional Neural Network -- 3.10 Conclusion -- References -- Chapter 4 Application of Internet of Things (IoT) in the Automotive Industry -- 4.1 Introduction -- 4.2 Need For IoT in Automobile Field -- 4.3 Fault Diagnosis in Automobile -- 4.4 Automobile Security and Surveillance System in IoT-Based -- 4.5 A Vehicle Communications -- 4.6 The Smart Vehicle -- 4.7 Connected Vehicles -- 4.7.1 Vehicle-to-Vehicle (V2V) Communications -- 4.7.2 Vehicle-to-Infrastructure (V2I) Communications -- 4.7.3 Vehicle-to-Pedestrian (V2P) Communications -- 4.7.4 Vehicle to Network (V2N) Communication -- 4.7.5 Vehicle to Cloud (V2C) Communication -- 4.7.6 Vehicle to Device (V2D) Communication -- 4.7.7 Vehicle to Grid (V2G) Communications -- 4.8 Conclusion -- References -- Chapter 5 IoT for Food and Beverage Manufacturing -- 5.1 Introduction -- 5.2 The Influence of IoT in a Food Industry…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 M2M in 5G Cellular Networks: Challenges, Proposed Solutions, and Future Directions -- 1.1 Introduction -- 1.2 Literature Survey -- 1.3 Survey Challenges and Proposed Solutions of M2M -- 1.3.1 PARCH Overload Problem -- 1.3.2 Inefficient Radio Resource Utilization and Allocation -- 1.3.3 M2M Random Access Challenges -- 1.3.4 Clustering Techniques -- 1.3.5 QoS Provisioning for M2M Communications -- 1.3.6 Less Cost and Low Power Device Requirements -- 1.3.7 Security and Privacy -- 1.4 Conclusion -- References -- Chapter 2 MAC Layer Protocol for Wireless Security -- 2.1 Introduction -- 2.2 MAC Layer -- 2.2.1 Centralized Control -- 2.2.2 Deterministic Access -- 2.2.3 Non-Deterministic Access -- 2.3 Functions of the MAC Layer -- 2.4 MAC Layer Protocol -- 2.4.1 Random Access Protocol -- 2.4.2 Controlled Access Protocols -- 2.4.3 Channelization -- 2.5 MAC Address -- 2.6 Conclusion and Future Scope -- References -- Chapter 3 Enhanced Image Security Through Hybrid Approach: Protect Your Copyright Over Digital Images -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Design Issues -- 3.3.1 Robustness Against Various Attack Conditions -- 3.3.2 Distortion and Visual Quality -- 3.3.3 Working Domain -- 3.3.4 Human Visual System (HVS) -- 3.3.5 The Trade-Off between Robustness and Imperceptibility -- 3.3.6 Computational Cost -- 3.4 A Secure Grayscale Image Watermarking Based on DWT-SVD -- 3.5 Experimental Results -- 3.6 Conclusion -- References -- Chapter 4 Quantum Computing -- 4.1 Introduction -- 4.2 A Brief History of Quantum Computing -- 4.3 Postulate of Quantum Mechanics -- 4.4 Polarization and Entanglement -- 4.5 Applications and Advancements -- 4.5.1 Cryptography, Teleportation and Communication Networks -- 4.5.2 Quantum Computing and Memories…”

Tabla de Contenidos: “…Maheswari, Mohankumar, and Banuroopa -- 2.1 5G - An Introduction -- 2.1.1 Industry Applications -- 2.1.2 Healthcare -- 2.1.3 Retail -- 2.1.4 Agriculture -- 2.1.5 Manufacturing -- 2.1.6 Logistics -- 2.1.7 Sustainability of 5G Networks -- 2.1.8 Implementation of 5G -- 2.1.9 Architecture of 5G Technology -- 2.2 5G and AI -- 2.2.1 Gaming and Virtual Reality -- 2.3 AI and 5G -- 2.3.1 Continuous Learning AI Model -- 2.4 Challenges and Roadmap -- 2.4.1 Technical Issues -- 2.4.2 Technology Roadmap -- 2.4.3 Deployment Roadmap -- 2.5 Mathematical Models -- 2.5.1 The Insights of Mathematical Modeling in 5G Networks -- 2.6 Conclusion -- References -- 3 Sustainable Paradigm for Computing the Security of Wireless Internet of Things: Blockchain Technology Sana Zeba, Mohammed Amjad, and Danish Raza Rizvi -- 3.1 Introduction -- 3.2 Research Background -- 3.2.1 The Internet of Things -- 3.2.1.1 Security Requirements in Wireless IoT -- 3.2.1.2 Layered Architecture of Wireless IoT -- 3.2.2 Blockchain Technology -- 3.2.2.1 Types of Blockchain -- 3.2.2.2 Integration of Blockchain with Wireless Internet of Things -- 3.3 Related Work -- 3.3.1 Security Issues in Wireless IoT System -- 3.3.2 Solutions of Wireless IoT Security Problem -- 3.4 Research Methodology -- 3.5 Comparison of Various Existing Solutions -- 3.6 Discussion of Research Questions -- 3.7 Future Scope of Blockchain in IoT -- 3.8 Conclusion -- References -- 4 Cognitive IoT Based Health Monitoring Scheme Using Non-Orthogonal MultipleAccess Ashiqur Rahman Rahul, Saifur Rahman Sabuj, Majumder Fazle Haider, andShakil Ahmed -- 4.1 Introduction -- 4.2 Related Work -- 4.3 System Model and Implementation -- 4.3.1 Network Description -- 4.3.2 Sensing and Transmission Analysis -- 4.3.3 Pathloss Model -- 4.3.4 Mathematical Model Evaluation -- 4.3.4.1 Effectual Throughput -- 4.3.4.2 Interference Throughput -- 4.3.4.3 Energy Efficiency -- 4.3.4.4 Optimum Power -- 4.3.4.4.1 Optimum Power Derivation for HRC -- 4.2.3.4.2 Optimum Power Derivation for MRC -- 4.4 Simulation Results -- 4.5 Conclusion -- 4.A Appendices -- 4.A.1 Proof of Optimum Power Transmission for HRC Device at EffectualState (z = 0) -- 4.A.2 Proof of Optimum Power Transmission for HRC Device inInterference State (z = 1) -- 4.A.3 Proof of Optimum Power Transmission for MRC Device at EffectualState (z = 0) -- 4.A.4 Proof of Optimum Power Transmission for MRC Device inInterference State (z = 1) -- References -- 5 Overview of Resource Management for Wireless Adhoc Network Mehajabeen Fatima and Afreen Khueaheed -- 5.1 Introduction -- 5.1.1 Wired and Wireless Network Design Approach -- 5.1.2 History -- 5.1.3 Spectrum of Wireless Adhoc Network -- 5.1.4 Enabling and Networking Technologies -- 5.1.5 Taxonomy of Wireless Adhoc Network (WANET) -- 5.2 Mobile Adhoc Network (MANET) -- 5.2.1 Introduction to MANET -- 5.2.2 Common Characteristics of MANET -- 5.2.3 Advantages and Disadvantages -- 5.2.4 Applications of MANET -- 5.2.5 Major Issues of MANET -- 5.3 Vehicular Adhoc Network (VANET) -- 5.3.1 Introduction of VANET -- 5.3.2 Common Features of VANET -- 5.3.3 Pros, Cons, Applications -- 5.4 Wireless Mesh Network (WMN) -- 5.4.1 Preface of WMN -- 5.4.2 Common Traits of WMN -- 5.4.3 WMN Has Many Open Issues and Research Challenges -- 5.4.4 Performance Metrics -- 5.4.5 Advantages and Disadvantages -- 5.4.6 Prominent Areas and Challenges of WMN -- 5.5 Wireless Sensor Network (WSN) -- 5.5.1 Overview of WSN -- 5.5.2 Common Properties of WSN -- 5.5.3 Benefits, Harms, and Usage of WSN -- 5.6 Intelligent Management in WANET -- 5.6.1 Major Issues of WANET -- 5.6.2 Challenges of MAC Protocols -- 5.6.3 Routing Protocols -- 5.6.3.1 Challenges of Routing Protocols -- 5.6.3.1.1 Scalability -- 5.6.3.1.2 Quality of Service -- 5.6.3.1.3 Security -- 5.6.4 Energy and Battery Management -- 5.7 Future Research Directions -- 5.8 Conclusion -- References -- 6 Survey: Brain Tumor Detection Using MRI Image with Deep Learning Techniques Chalapathiraju Kanumuri and C.H. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- Biography -- List of Contributors -- Chapter 1 Artificial Intelligence and Cybersecurity: Tale of Healthcare Applications -- 1.1 Introduction -- 1.2 A Brief History of AI -- 1.3 AI in Healthcare -- 1.4 Morality and Ethical Association of AI in Healthcare -- 1.5 Cybersecurity, AI, and Healthcare -- 1.6 Future of AI and Healthcare -- 1.7 Conclusion -- References -- Chapter 2 Data Analytics for Smart Cities: Challenges and Promises -- 2.1 Introduction -- 2.2 Role of Machine Learning in Smart Cities -- 2.3 Smart Cities Data Analytics Framework -- 2.3.1 Data Capturing -- 2.3.2 Data Analysis -- 2.3.2.1 Big Data Algorithms and Challenges -- 2.3.2.2 Machine Learning Process and Challenges -- 2.3.2.3 Deep Learning Process and Challenges -- 2.3.2.4 Learning Process and Emerging New Type of Data Problems -- 2.3.3 Decision‐Making Problems in Smart Cities -- 2.3.3.1 Traffic Decision‐Making System -- 2.3.3.2 Safe and Smart Environment -- 2.4 Conclusion -- References -- Chapter 3 Embodied AI‐Driven Operation of Smart Cities: A Concise Review -- 3.1 Introduction -- 3.2 Rise of the Embodied AI -- 3.3 Breakdown of Embodied AI -- 3.3.1 Language Grounding -- 3.3.2 Language Plus Vision -- 3.3.3 Embodied Visual Recognition -- 3.3.4 Embodied Question Answering -- 3.3.5 Interactive Question Answering -- 3.3.6 Multi‐agent Systems -- 3.4 Simulators -- 3.4.1 MINOS -- 3.4.2 Habitat -- 3.5 Future of Embodied AI -- 3.5.1 Higher Intelligence -- 3.5.2 Evolution -- 3.6 Conclusion -- References -- Chapter 4 Analysis of Different Regression Techniques for Battery Capacity Prediction -- 4.1 Introduction -- 4.2 Data Preparation -- 4.2.1 Dataset -- 4.2.2 Feature Extraction -- 4.2.3 Noise Addition -- 4.3 Experiment Design and Machine Learning Algorithms -- 4.4 Result and Analysis -- 4.5 Threats to Validity -- 4.6 Conclusions…”

Tabla de Contenidos: “…Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Land Use and Land Cover Mapping of Remotely Sensed Data Using Fuzzy Set Theory-Related Algorithm -- 1.1 Introduction -- 1.1.1 Overview on Landsat 8 -- 1.2 Image Classification -- 1.3 Unsupervised Classification -- 1.4 Supervised Classification -- 1.5 Overview of Fuzzy Sets -- 1.5.1 Fuzzy C-Means Clustering -- 1.5.2 Algorithm of Fuzzy C-Means -- 1.6 Methodology -- 1.6.1 Modified Fuzzy C-Means Technique -- 1.6.2 Construction of a Fuzzy Inference System -- 1.6.3 K-Means Algorithm -- 1.7 Results and Discussion -- 1.7.1 FCM Technique Results -- 1.7.2 Modified FCM Technique Results -- 1.7.3 K-Means Technique Results -- 1.8 Conclusion -- References -- Chapter 2 Role of AI in Mortality Prediction in Intensive Care Unit Patients -- 2.1 Introduction -- 2.2 Background -- 2.3 Objectives -- 2.4 Machine Learning and Mortality Prediction -- 2.4.1 Model Selection -- 2.4.2 Mortality Prediction for ICU Patients -- 2.4.3 Datasets Generation and Preprocessing -- 2.4.3.1 A &gt -- Inclusion Criteria -- 2.4.3.2 B &gt -- Exclusion Criteria -- 2.4.4 Structure of Datasets -- 2.5 Discussions -- 2.6 Conclusion -- 2.7 Future Work -- 2.8 Acknowledgments -- 2.9 Funding -- 2.10 Competing Interest -- References -- Chapter 3 A Survey on Malware Detection Using Machine Learning -- 3.1 Background -- 3.2 Introduction -- 3.3 Literature Survey -- 3.4 Discussion -- 3.5 Conclusion -- References -- Chapter 4 EEG Data Analysis for IQ Test Using Machine Learning Approaches: A Survey -- Introduction -- 4.1 Related Work -- 4.1.1 Signal Pre-Processing, Filtering, and Feature Extraction -- 4.2 Equations -- 4.2.1 Alternating a Diffusion Map-Based Combination of Two FCN Datasets -- 4.2.2 Information Examination -- 4.2.3 Gaussian Kernel Function -- 4.3 Classification -- 4.4 Data Set -- 4.4.1 Pre-Preparing…”

Tabla de Contenidos: “…-- 4.3.3 The t‐Test -- 4.3.4 Conclusion -- 4.4 Statistical Significance -- 4.4.1 Bottom Line -- 4.4.1.1 Statistical Significance as a Screening Device…”

Tabla de Contenidos: “…Conclusions sur la structure du marché -- 4.4. Résultats du marché -- 4.4.1. Résultats en termes de prix -- Récentes tendances en matière de frais -- Dispersion des tarifs des comptes courants personnels -- 4.4.2. …”

Tabla de Contenidos: “…2.2.2 Catalog and Clearinghouse Based on Service-Oriented Architecture and Standard Services -- 2.2.3 Semantic-Based Metadata Sharing and Data Discovery -- 2.3 Technological Issues and Solutions -- 2.3.1 Interoperability -- 2.3.2 Provenance and Updating -- 2.3.3 System Performance -- 2.3.4 Timely Updating -- 2.4 Design and Implementation of CLH -- 2.4.1 Architecture -- 2.4.2 Administration, User, and Group Management -- 2.4.3 Harvesting -- 2.4.4 Metadata Standards and Transformation -- 2.4.5 User Interface and Programming APIs -- 2.4.5.1 Search through Web Graphics User Interface -- 2.4.5.2 Remote Search -- 2.5 Usage and Operational Status -- 2.5.1 System Operations -- 2.5.2 System Metadata Status -- 2.5.3 Usage -- 2.6 Big Geospatial Data Challenges and Solutions -- 2.6.1 Data and Database -- 2.6.2 Distribution and Cloud Computing -- 2.6.3 Searching Performance and Index -- 2.7 Summary and Future Research -- Acknowledgments -- Notes -- References -- Chapter 3: Using a Cloud Computing Environment to Process Large 3D Spatial Datasets -- 3.1 Introduction -- 3.1.1 Big Spatial Data -- 3.1.2 Need for Cloud Computing Environment -- 3.2 Methodology -- 3.2.1 Iowa LiDAR Database -- 3.2.2 CLiPS Design and Implementation -- 3.3 Results -- 3.3.1 Application Example: DEM Generation Using Large LiDAR Datasets -- 3.3.2 Heuristic Models Development -- 3.4 Conclusions -- Acknowledgment -- References -- Chapter 4: Building Open Environments to Meet Big Data Challenges in Earth Sciences -- 4.1 Introduction -- 4.2 Technology Foundation and Methodology -- 4.2.1 Interoperability -- 4.2.2 Serviceability -- 4.2.3 Infrastructure -- 4.3 Discussions -- 4.4 Summary -- References -- Chapter 5: Developing Online Visualization and Analysis Services for NASA Satellite-Derived Global Precipitation Products during the Big Geospatial Data Era -- 5.1 Introduction…”

Tabla de Contenidos: “…Installation and configuration - Java Edition -- 4.1 Installation overview -- 4.1.1 Machine topologies -- 4.2 Installation -- 4.2.1 Installation prerequisites -- 4.2.2 Installing Lotus Workplace Web Content Management -- 4.2.3 Pre-deployment steps -- 4.2.4 Deploying the Web module -- 4.2.5 Copy and setup -- 4.2.6 Final steps -- 4.2.7 Installation troubleshooting -- 4.2.8 E-mail configuration -- 4.3 Advanced configuration -- 4.3.1 Setting up IBM DB2 Universal DatabaseTM as the repository -- 4.3.2 Configuring resources -- 4.3.3 Setting up syndication -- 4.3.4 Pre-rendering configuration -- 4.4 LDAP integration and configuration -- 4.4.1 Overview of LDAP integration -- 4.4.2 Prerequisites for LDAP integration -- 4.4.3 LDAP integration process -- 4.4.4 Preparation and installation -- 4.4.5 Configuration -- 4.4.6 LDAP testing and validation -- 4.4.7 Groups and categories -- 4.5 Content portlet configuration in WebSphere Portal -- 4.5.1 WebSphere Portal access setup -- 4.5.2 Portlet application installation and setup -- 4.5.3 Portlet configuration -- 4.5.4 Troubleshooting -- 4.5.5 Portal search configuration -- 4.5.6 Content portlet configuration in Lotus Workplace…”

Tabla de Contenidos: “…CIMOM installation and configuration -- 4.1 Introduction -- 4.2 Planning considerations for Service Location Protocol -- 4.2.1 Considerations for using SLP DAs -- 4.2.2 SLP configuration recommendation -- 4.3 General performance guidelines -- 4.4 Planning considerations for CIMOM -- 4.4.1 CIMOM configuration recommendations -- 4.5 Installing CIM agent for ESS -- 4.5.1 ESS CLI install -- 4.5.2 ESS CIM Agent install -- 4.5.3 Post Installation tasks -- 4.6 Configuring the ESS CIM Agent for Windows -- 4.6.1 Registering ESS Devices -- 4.6.2 Register ESS server for Copy services -- 4.6.3 Restart the CIMOM -- 4.6.4 CIMOM User Authentication -- 4.7 Verifying connection to the ESS -- 4.7.1 Problem determination -- 4.7.2 Confirming the ESS CIMOM is available…”

Tabla de Contenidos: “…Simplifying the effects of sweep and taper in 3D 4.4 Transition and turbulence 4.4.1 ... Boundary-layer transition 4.4.2 ... …”