Tabla de Contenidos: “…ARM Template, PowerShell, and Azure CLI -- Chapter Recap -- Chapter 6: Azure Storage -- Storage Accounts -- Account Types and Performance Tiers -- Storage Account Replication -- Creating a Storage Account -- Azure Portal -- ARM Template, PowerShell, and Azure CLI -- Blob Containers -- Blob Access Tier -- Creating a Blob Container -- Azure Portal -- ARM Template, PowerShell, and Azure CLI -- Azure Files -- Azure Files Tiers -- Creating Azure Files -- Azure Portal -- ARM Template, PowerShell, and Azure CLI -- Storage Account Security -- Storage Access Keys and Shared Access Signature -- Storage Networking -- Blob Container Access -- Encryption -- Data Transfer -- Storage Explorer -- AzCopy -- Data Box Gateway and Azure Stack Edge -- Import/Export Service -- Data Box -- Storage Account Management -- Changing Security Parameters -- Access Keys and Shared Access Keys -- Storage Networking and Encryption -- Storage Replication -- Lifecycle Management -- Managed Disks -- Types of Managed Disks -- Standard HDD Disk -- Standard SSD Disk -- Premium SSD Disk -- Ultra Disk -- Performance Tiers -- Managed Disk Security -- Creating a Managed Disk -- Azure Portal -- ARM Template, PowerShell, and Azure CLI -- Chapter Recap -- Chapter 7: Advanced Azure Networking -- Azure DNS -- Public DNS -- Creating a Public DNS Zone -- Azure Portal -- ARM Template, PowerShell, and Azure CLI -- Private DNS -- Creating a Private DNS Zone -- Azure Portal -- ARM Template, PowerShell, and Azure CLI -- Virtual Network Peering -- Creating Virtual Network Peering -- Azure Portal -- ARM Template, PowerShell, and Azure CLI -- Intersite Connectivity -- VNet-to-VNet Connection -- Creating a Virtual Network Gateway -- Azure Portal -- ARM Template, PowerShell, and Azure CLI -- Point-to-Site VPN -- Site-to-Site VPN -- ExpressRoute -- Azure Firewall -- Creating Azure Firewall -- Azure Portal…”

Tabla de Contenidos: “…3.9.2 Der POST im Detail -- 3.9.3 EFI und UEFI -- 3.9.4 Fehlermeldungen -- 3.10 Fragen zu diesem Kapitel -- Kapitel 4: Storage-Lösungen -- 4.1 Festplatten gibt es noch lange -- 4.2 Solid State Drives (SSD) -- 4.2.1 MLC oder SLC -- 4.2.2 SSD und Server -- 4.2.3 Hybrid-Festplatten (Hybrid Hard Drives) -- 4.2.4 Anschlussmöglichkeiten -- 4.2.5 Einsatz in Servern -- 4.3 Von SCSI zu iSCSI -- 4.4 Es werde seriell - S-ATA und SAS -- 4.4.1 Der S-ATA-Standard -- 4.4.2 Warum SAS für Server? …”

Tabla de Contenidos: “…Advanced IO Techniques -- Automatic Storage Management (ASM) -- Solid State Disk (SSD) -- The Exadata Storage Server -- Database Block Size -- Summary -- Chapter 23. …”

Tabla de Contenidos: “….); 1.12.3.4 LAS PARTICIONES ACTIVAS; 1.12.3.5 EL SECTOR DE ARRANQUE; 1.13 UNIDADES DE ESTADO SÓLIDO O SSD; EJERCICIOS PROPUESTOS ; CAPÍTULO 2. NORMATIVA Y RECOMENDACIONES (...); 2.1 NORMAS SOBRE ERGONOMÍA; 2.2 CONSEJOS Y NORMAS SOBRE MANIPULACIÓN (...); 2.2.1 PROTECCIÓN AMBIENTAL: LOS RESIDUOS (...); 2.2.2 NORMAS PARA REDUCIR EL IMPACTO AMBIENTAL (...); 2.2.3 RECICLADO DE DISPOSITIVOS ELECTRÓNICOS…”

Tabla de Contenidos: “…Expected performance -- Putting it all together -- Extracting features generated by Inception V3 -- Preparing the network -- Removing the last Softmax and FullyConnected layers -- Predicting features of an image -- Saving the network to disk -- Extracting features generated by MobileNet V2 -- Preparing the network -- Removing the last Softmax and FullyConnected layers -- Predicting features of an image -- Saving the network to disc -- Putting it all together -- Transfer learning with Inception V3 -- Getting the data -- Preparing the dataset -- Extracting features -- Creating a new network -- Training and validating the results -- Summary -- Questions -- Further reading -- Chapter 8: OpenCV -- Technical requirements -- Troubleshooting installation of Open CV -- Troubleshooting installation on macOS -- First steps with OpenCV -- Updating OpenCV package source code -- Defining Open CV location -- Testing whether OpenCV works -- Working with images -- Converting OpenCV Mat to Julia images -- Reading images -- Saving images -- Destroying the object -- Image capturing from web camera -- Face detection using Open CV -- Object detection using MobileNet-SSD -- Summary -- Questions -- Appendix: Assessments -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…5.2 Device Operation -- 5.3 Material Properties -- 5.4 Device and Material Scaling to the Nanometer Size -- 5.5 Multi-Bit Operation and 3D Integration -- 5.6 Applications -- 5.7 Future Outlook -- 5.8 Summary -- Acknowledgments -- References -- Chapter 6: Ferroelectric FET Memory -- 6.1 Introduction -- 6.2 Ferroelectric FET for Flash Memory Application -- 6.3 Ferroelectric FET for SRAM Application -- 6.4 System Consideration: SSD System with Fe-NAND Flash Memory -- 6.5 Perspectives and Summary -- References -- Chapter 7: Nano-Electro-Mechanical (NEM) Memory Devices -- 7.1 Introduction and Rationale for a Memory Based on NEM Switch -- 7.2 NEM Relay and Capacitor Memories -- 7.3 NEM-FET Memory -- 7.4 Carbon-based NEM Memories -- 7.5 Opportunities and Challenges for NEM Memories -- References -- Chapter 8: Redox-based Resistive Memory -- 8.1 Introduction -- 8.2 Physical Fundamentals of Redox Memories -- 8.3 Electrochemical Metallization Memory Cells -- 8.4 Valence Change Memory Cells -- 8.5 Performance -- 8.6 Summary -- References -- Chapter 9: Electronic Effect Resistive Switching Memories -- 9.1 Introduction -- 9.2 Charge Injection and Trapping -- 9.3 Mott Transition -- 9.4 Ferroelectric Resistive Switching -- 9.5 Perspectives -- 9.6 Summary -- References -- Chapter 10: Macromolecular Memory -- 10.1 Chapter Overview -- 10.2 Macromolecules -- 10.3 Elementary Physical Chemistry of Macromolecular Memory -- 10.4 Classes of Macromolecular Memory Materials and Their Performance -- 10.5 Perspectives -- 10.6 Summary -- Acknowledgments -- References -- Chapter 11: Molecular Transistors -- 11.1 Introduction -- 11.2 Experimental Approaches -- 11.3 Molecular Transistors -- 11.4 Molecular Design -- 11.5 Perspectives -- Acknowledgments -- References -- Chapter 12: Memory Select Devices -- 12.1 Introduction -- 12.2 Crossbar Array and Memory Select Devices…”

Tabla de Contenidos: “…3.7 TARJETAS DE RED (NIC)3.8 DISCOS DUROS; 3.8.1 CARACTERÍSTICAS DE UN DISCO DURO; 3.8.2 CONEXIONADO DE UN DISCO DURO; 3.8.3 LAS UNIDADES DE ESTADO SÓLIDAS (SSD); 3.9 PANTALLAS DE CRISTAL LÍQUIDO; 3.9.1 CARACTERÍSTICAS DE UN MONITOR LCD; 3.9.2 TIPOS DE LCD; 3.9.3 CONECTORES; 3.10 LECTORES/GRABADORES ÓPTICOS; 3.10.1 DIGITAL O ANALÓGICO; 3.10.2 UNIDADES DE CD ROM; 3.10.3 UNIDADES CD-R; 3.10.4 UNIDADES CD-RW; 3.10.5 CD ROM DIGITAL; 3.10.6 DVD; TEST DE CONOCIMIENTOS ; EJERCICIOS PROPUESTOS ; CAPÍTULO 4. …”

Tabla de Contenidos: “…Dropping groups, roles, and users -- Dropping PowerShell AWS profiles -- The use case - access key rotation -- Summary -- Chapter 5: AWS Virtual Private Cloud -- Laying the foundation -- Virtual Private Cloud -- Internet Gateways -- Route Tables -- Subnets -- NAT Gateway -- Network Access List -- Security Groups -- Summary -- Chapter 6: AWS Elastic Compute Cloud -- The characteristics of AWS EC2 -- The EC2 instance purchasing options -- On-demand -- Reserved -- Spot -- Dedicated -- Understanding IP addresses on EC2 -- Storage options on EC2 -- Instance storage -- Elastic Block Storage -- Spinning up an EC2 instance -- Accessing the EC2 instance -- The EC2 instance metadata service -- Stopping the EC2 instance -- Starting the EC2 instance -- The Elastic IP address -- Terminating the EC2 instance -- Placement Groups -- Assigning an IAM role to the EC2 instance -- The types of EBS -- EBS SSD backed volumes -- EBS HDD backed volumes -- Amazon Machine Images -- EBS snapshots -- Summary -- Chapter 7: AWS Simple Storage Service -- AWS Glacier -- Storage classes on S3 -- The S3 bucket -- Folders and objects -- Downloading folders and objects from the S3 bucket -- Managing S3 permissions -- IAM policies -- Bucket policies -- Access Control Lists -- Building S3 VPC endpoints -- S3 Transfer Acceleration -- S3 versioning -- S3 lifecycle policies -- Cross-region replication -- Removing the S3 bucket -- Summary -- Chapter 8: Elastic Load Balancer -- Why load balancer? …”

Tabla de Contenidos: “…Delete Optimizations -- Summary -- Chapter 9: Transactions -- Transaction Theory -- MongoDB Transactions -- Transaction Limits -- TransientTransactionErrors -- Transactions in the MongoDB Drivers -- The Performance Implications of TransientTransactionErrors -- Transaction Optimization -- Avoiding Transactions -- Ordering of Operations -- Partitioning Hot Documents -- Conclusion -- Chapter 10: Server Monitoring -- Host-Level Monitoring -- Network -- CPU -- Memory -- Disk IO -- MongoDB Server Monitoring -- Compass -- Free Monitoring -- Ops Manager -- MongoDB Atlas -- Third-Party Monitoring Tools -- Summary -- Part IV: Server Tuning -- Chapter 11: Memory Tuning -- MongoDB Memory Architecture -- Host Memory -- Measuring Memory -- WiredTiger Memory -- Cache Size -- Determining the Optimum Cache Size -- The Database Cache "Hit" Ratio -- Evictions -- Blocking Evictions -- Checkpoints -- WiredTiger Concurrency -- Reducing Application Memory Demand -- Document Design -- Indexing -- Transactions -- Summary -- Chapter 12: Disk IO -- IO Fundamentals -- Latency and Throughput -- Queuing -- Sequential and Random IO -- Disk Hardware -- Magnetic Disks (HDD) -- Solid State Drives -- SSD Storage Hierarchy -- Write Performance -- Write Endurance -- Garbage Collection and Wear Levelling -- SATA vs. …”

Tabla de Contenidos: “…Enabling Smart Bins -- Adding metadata manually -- Using Face Detection on the Cut page -- Summary -- Questions -- Further reading -- Glossary -- Artificial intelligence (AI) -- Archive -- B-roll -- Bins -- Cache -- Caching -- Clip -- Code -- Color cast -- Color grading -- Color management -- Color model -- Color space -- Color temperature -- Colorist -- Composition -- Continuity editing -- Cut -- Cutaway -- Cut-in -- Data -- Database -- Digital audio workstation (DAW) -- Exposure -- Exposure controls -- Frame rate/FPS -- Frames -- Framing -- Gamma -- Graphics -- Greenscreen -- Gray card -- Hard disk drive (HDD) -- ISO -- J-cut -- L-cut -- Lead room -- Looking room -- Media -- Neural Engine -- Neutral -- Non-linear editor (NLE) -- Plugins -- Project -- Reaction shot -- Render -- Resolve -- Run and gun -- Solid state drive (SSD) -- Sound effects (SFX) -- Split edit -- Stills -- Thumbnail -- Three-point edit -- Timeline -- Tools -- Transitions -- Visual effects (VFX) -- White balance -- Answers to Questions -- Chapter 1, Getting Started with Resolve - Publishing Your First Cut -- Chapter 2, Adding Titles and Motion Graphics -- Chapter 3, Polishing the Camera Audio - Getting It in Sync -- Chapter 4, Adding Narration, Voice Dubbing, and Subtitles -- Chapter 5, Creating Additional Sound -- Chapter 6, Working with Archive Footage -- Chapter 7, Stabilizing Shaky Footage -- Chapter 8, Hiding the Cut: Making our Edit Invisible -- Chapter 9, Adding Special Effects -- Chapter 10, Split Screens and Picture-in-Picture -- Chapter 11, Enhancing Color for Mood or Style -- Chapter 12, Studio-Only Techniques - so much quicker -- Index -- About Packt -- Other Books You May Enjoy…”

Tabla de Contenidos: “…2.3 Computer storage technologies -- 2.3.1 Punched cards - Hollerith and IBM -- 2.3.2 Punched paper tapes -- 2.3.3 Handwriting recognition -- 2.3.4 Delay line memories -- 2.3.5 Core memories -- 2.3.6 Semiconductor memories -- 2.3.7 Redundant array of Independent Memories - RAIM -- 2.3.8 Magnetic Random Access Memory - MRAM -- 2.3.9 Magnetic tapes and tape libraries -- 2.3.10 An analytical model for a tape library -- 2.3.11 Summary of a recent article on magnetic tapes -- 2.3.12 Origins of Hard Disk Drives - HDDs -- 2.3.13 HDD manufacturers -- 2.3.14 Storage technologies expected to replace disk drives -- 2.3.15 Magnetic bubble memories -- 2.3.16 Charged Couple Devices - CCDs -- 2.3.17 Micro-Electro-Mechanical Systems - MEMS -- 2.3.18 IBM Zurich millipede -- 2.3.19 Phase Change Memory - PCM -- 2.3.20 Flash memories -- 2.3.21 Companies producing flash memories -- 2.3.22 Elevating commodity storage with the SALSA host translation layer -- 2.3.23 Flash SSD versus magnetic HDD pricing -- 2.3.24 Pure Storage design of Purity -- 2.3.25 Intel/Micron 3D_XPoint Optane Memory -- 2.3.26 Processing In Memory - PIM -- 2.3.27 Universal memory technology - UltraRAM -- 2.3.28 Racetrack memory -- 2.3.29 Optical storage -- 2.3.30 Holographic memory -- 2.3.31 M-DISC and storage longevity -- 2.3.32 Persistent and NonVolatile Memory - NVM -- 2.3.33 Glass as a new storage medium -- 2.3.34 DNA based archival storage system -- 2.4 Reliability studies of DRAM, HDDs, &amp -- flash SSDs -- 2.4.1 Flash SSD reliability at Facebook, Google &amp -- NetApp -- 2.5 Storage Networking Industry Association - SNIA -- 2.5.1 Solid state storage performance -- 2.5.2 Persistent Memory Forum -- 2.5.3 Computational storage -- 2.6 Big data and its sources -- 2.7 Sources of storage content -- 2.8 Ranking and description of media companies -- 2.9 Sources of news: newspapers, radio and TV stations…”

Tabla de Contenidos: “…Cover -- Copyright and Credits -- Dedication -- Packt Upsell -- Foreword -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Mobile TensorFlow -- Setting up TensorFlow -- Setting up TensorFlow on MacOS -- Setting up TensorFlow on GPU-powered Ubuntu -- Setting up Xcode -- Setting up Android Studio -- TensorFlow Mobile vs TensorFlow Lite -- Running sample TensorFlow iOS apps -- Running sample TensorFlow Android apps -- Summary -- Chapter 2: Classifying Images with Transfer Learning -- Transfer learning - what and why -- Retraining using the Inception v3 model -- Retraining using MobileNet models -- Using the retrained models in the sample iOS app -- Using the retrained models in the sample Android app -- Adding TensorFlow to your own iOS app -- Adding TensorFlow to your Objective-C iOS app -- Adding TensorFlow to your Swift iOS app -- Adding TensorFlow to your own Android app -- Summary -- Chapter 3: Detecting Objects and Their Locations -- Object detection-a quick overview -- Setting up the TensorFlow Object Detection API -- Quick installation and example -- Using pre-trained models -- Retraining SSD-MobileNet and Faster RCNN models -- Using object detection models in iOS -- Building TensorFlow iOS libraries manually -- Using TensorFlow iOS libraries in an app -- Adding an object detection feature to an iOS app -- Using YOLO2-another object-detection model -- Summary -- Chapter 4: Transforming Pictures with Amazing Art Styles -- Neural Style Transfer - a quick overview -- Training fast neural-style transfer models -- Using fast neural-style transfer models in iOS -- Adding and testing with fast neural transfer models -- Looking back at the iOS code using fast neural transfer models -- Using fast neural-style transfer models in Android -- Using the TensorFlow Magenta multi-style model in iOS…”

Tabla de Contenidos: “…A combined diamond model and kill chain intrusion analysis -- Attribution -- Summary -- Questions -- Part 2: Evidence Acquisition -- Chapter 5: Collecting Network Evidence -- An overview of network evidence -- Preparation -- A network diagram -- Configuration -- Firewalls and proxy logs -- Firewalls -- Web application firewalls -- Web proxy servers -- NetFlow -- Packet capture -- tcpdump -- WinPcap and RawCap -- Wireshark -- Evidence collection -- Summary -- Questions -- Further reading -- Chapter 6: Acquiring Host-Based Evidence -- Preparation -- Order of volatility -- Evidence acquisition -- Evidence collection procedures -- Acquiring volatile memory -- FTK Imager -- WinPmem -- RAM Capturer -- Virtual systems -- Acquiring non-volatile evidence -- FTK obtaining protected files -- The CyLR response tool -- Kroll Artifact Parser and Extractor -- Summary -- Questions -- Further reading -- Chapter 7: Remote Evidence Collection -- Enterprise incident response challenges -- Endpoint detection and response -- Velociraptor overview and deployment -- Velociraptor server -- Velociraptor Windows collector -- Velociraptor scenarios -- Velociraptor evidence collection -- CyLR -- WinPmem -- Summary -- Questions -- Chapter 8: Forensic Imaging -- Understanding forensic imaging -- Image versus copy -- Logical versus physical volumes -- Types of image files -- SSD versus HDD -- Tools for imaging -- Preparing a staging drive -- Using write blockers -- Imaging techniques -- Dead imaging -- Live imaging -- Virtual systems -- Linux imaging -- Summary -- Questions -- Further reading -- Part 3: Evidence Analysis -- Chapter 9: Analyzing Network Evidence -- Network evidence overview -- Analyzing firewall and proxy logs -- SIEM tools -- The Elastic Stack -- Analyzing NetFlow -- Analyzing packet captures -- Command-line tools -- Real Intelligence Threat Analytics…”

Tabla de Contenidos: “…4.2 Object Detection -- 4.3 Two-Stage Object Detectors -- 4.3.1 R-CNN -- 4.3.2 SPPNet -- 4.3.3 Fast RCNN -- 4.3.4 Faster RCNN -- 4.3.5 R-FCN -- 4.3.6 FPN -- 4.3.7 Mask RCNN -- 4.3.8 G-RCNN -- 4.4 One-Stage Object Detectors -- 4.4.1 YOLO -- 4.4.2 CenterNet -- 4.4.3 SSD -- 4.4.4 RetinaNet -- 4.4.5 EfficientDet -- 4.4.6 YOLOR -- 4.5 Discussion On Model Performance -- 4.5.1 Future Trends -- 4.6 Conclusion -- References -- Chapter 5 Deep Learning Algorithms for Computer Vision: A Deep Insight Into Principles and Applications -- 5.1 Introduction -- 5.2 Preliminary Concepts of Deep Learning -- 5.2.1 Artificial Neural Network -- 5.2.2 Convolution Neural Network (CNNs) -- 5.3 Recurrent Neural Network (RNNs) -- 5.4 Overview of Applied Deep Learning in Computer Vision -- 5.6 Industrial Applications of Computer Vision -- 5.7 Future Scope in Computer Vision -- 5.8 Conclusion -- References -- Chapter 6 Handwritten Equation Solver Using Convolutional Neural Network -- 6.1 Introduction -- 6.2 State-Of-The-Art -- 6.3 Convolutional Neural Network -- 6.3.1 Convolution Layer -- 6.3.2 Pooling Layer -- 6.3.3 Fully Connected Layer -- 6.3.4 Activation Function -- 6.4 Handwritten Equation Recognition -- 6.4.1 Dataset Preparation -- 6.4.2 Proposed Methodology -- 6.4.2.1 Dataset Acquisition -- 6.4.2.2 Preprocessing -- 6.4.2.3 Recognition Through CNN Model -- 6.4.2.4 Processing Inside CNN Model -- 6.4.3 Solution Approach -- 6.5 Results and Discussion -- 6.6 Conclusion and Future Scope -- References -- Chapter 7 Agriware: Crop Suggester System By Estimating the Soil Nutrient Indicators -- 7.1 Introduction -- 7.2 Related Work -- 7.3 Proposed Methodology -- 7.4 Experimental Results and Discussion -- 7.5 Conclusion and Future Work -- References -- Chapter 8 A Machine Learning Based Expeditious Covid-19 Prediction Model Through Clinical Blood Investigations -- 8.1 Introduction…”

Tabla de Contenidos: “…Deploying Cloud Functions -- Deploying from a local machine -- Deploying from a source repository -- Integrating with other Google services -- IAM and billing -- Cloud Functions and IAM -- Frameworks and tooling -- Summary -- Chapter 7: Google Compute Engine -- Understanding Compute Engine -- IaaS -- Infrastructure as Code (IaC) -- More than virtual machines -- When to use Compute Engine -- A straightforward migration path -- Host anything -- Building a robust global presence -- Long running and resource intensive processes -- Security and compliance -- Virtual machines on Google Compute Engine (GCE) -- Machine types -- Standard machine types -- High-memory machine types -- Mega-memory machine types -- High-CPU machine types -- Shared-core machine types -- Custom machine types -- Extended memory -- Other resources -- Disk storage -- GPUs -- Images -- Public images -- Premium images -- Community images -- Container images -- Managing Compute Engine instances -- Creating instances -- Remote access -- SSH access -- SCP access -- Remote Desktop Protocol (RDP) access -- Metadata server -- Default metadata -- Project-wide metadata -- Instance-specific metadata -- Setting and removing metadata -- Querying metadata from within instances -- Trying it out -- Modifying API responses -- Startup and shutdown scripts -- Startup scripts -- Shutdown Scripts -- Windows machines -- Updates and patches -- Availability policies -- Maintenance behavior -- Restart behavior -- Relocating an instance -- Storage solutions -- Persistent disks -- Standard and solid-state drive (SSD) persistent disks -- Persistent disk performance -- Boot disks -- Managing persistent disks -- Persistent disk snapshots -- Local SSDs -- Creating scalable solutions with GCE -- Custom images -- Creating images from a persistent disk -- Copying an image -- Creating images from snapshots…”

Tabla de Contenidos: “…Portable Computers -- Objective 12.01 Upgrading and Repairing Laptop Computers -- Disassembly Process -- Repairing Without the Manual -- Standard Upgrades -- RAM -- How to Add or Replace RAM -- HDD/SSD -- Hardware Replacement -- Components -- Integral Parts -- Objective 12.02 Portable PC Features -- Keyboard Quirks -- Pointing Devices -- Display Options -- Portable-Specific Expansion Slots -- PCMCIA -- Parallel PC Cards -- ExpressCard -- Storage Card Slots…”

Tabla de Contenidos: “…Tip #3 - Delineate objectives -- Tip #4 - Apply an agile methodology to your digital transformation -- Tip #5 - Encourage risk-taking -- Tip #6 - One-way door vs. two-way door decisions -- Tip #7 - Clear delineation of roles and responsibilities -- Digital transformation pitfalls -- Lack of commitment from the C-suite -- Not having the right team in place -- Internal resistance from the ranks -- Going too fast -- Going too slow -- Outdated rules and regulations -- The AWS Cloud Adoption Framework (AWS CAF) -- Architectures to provide high availability, reliability, and scalability -- Active architecture -- Active/passive architecture -- Active/active architecture -- Sharding architecture -- Chaos engineering -- Summary -- Chapter 4: Networking in AWS -- Learning about the AWS Global Infrastructure -- Regions, Availability Zones, and Local zones -- AWS Regions -- AWS AZs -- AWS LZs -- Benefits of the AWS Global Infrastructure -- AWS networking foundations -- Amazon Virtual Private Cloud (VPC) -- AWS TGW -- AWS PrivateLink -- Edge networking -- Route 53 -- Amazon CloudFront -- AWS Global Accelerator (AGA) -- AWS Wavelength -- Building hybrid cloud connectivity in AWS -- AWS Virtual Private Network (VPN) -- AWS Direct Connect -- AWS Cloud WAN -- AWS cloud network security -- AWS Network Firewall (ANFW) -- AWS network security patterns - best practices -- AWS network security anti-patterns -- AWS network security with third-party solutions -- Summary -- Chapter 5: Storage in AWS - Choosing the Right Tool for the Job -- Understanding Amazon Elastic Block Store -- General-purpose Solid-State Devices (SSDs) -- Provisioned IOPS SSD -- Throughput Optimized HDD -- Cold HDD -- Amazon EBS Snapshots -- Choosing the right EBS volume -- Investigating Amazon Elastic File System (EFS) -- Using Amazon FSx to manage file systems…”

Tabla de Contenidos: “…5.6 Disadvantages of AI in Agriculture -- 5.7 Conclusion -- References -- Chapter 6 The Potential of Artificial Intelligence in the Healthcare System -- 6.1 Introduction -- 6.2 Machine Learning -- 6.3 Neural Networks -- 6.4 Expert Systems -- 6.5 Robots -- 6.6 Fuzzy Logic -- 6.7 Natural Language Processing -- 6.8 Sensor Network Technology in Artificial Intelligence -- 6.9 Sensory Devices in Healthcare -- 6.9.1 Wearable Devices -- 6.9.2 Implantable Devices -- 6.10 Neural Interface for Sensors -- 6.10.1 Intrusion Devices in Artificial Intelligence -- 6.11 Artificial Intelligence in Healthcare -- 6.11.1 Role of Artificial Intelligence in Medicine -- 6.11.2 Role of Artificial Intelligence in Surgery -- 6.11.3 Role of Artificial Intelligence in Rehabilitation -- 6.12 Why Artificial Intelligence in Healthcare -- 6.13 Advancements of Artificial Intelligence in Healthcare -- 6.14 Future Challenges -- 6.15 Discussion -- 6.16 Conclusion -- References -- Chapter 7 Improvement of Computer Vision-Based Elephant Intrusion Detection System (EIDS) with Deep Learning Models -- 7.1 Introduction -- 7.2 Elephant Intrusion Detection System (EIDS) -- 7.2.1 Existing Approaches -- 7.2.2 Challenges -- 7.3 Theoretical Framework -- 7.3.1 Deep Learning Models for EIDS -- 7.3.1.1 Fast RCNN -- 7.3.1.2 Faster RCNN -- 7.3.1.3 Single-Shot Multibox Detector (SSD) -- 7.3.1.4 You Only Look Once (YOLO) -- 7.3.2 Hardware Specifications -- 7.3.2.1 Raspberry-Pi 3 Model B -- 7.3.2.2 Night Vision OV5647 Camera Module -- 7.3.2.3 PIR Sensor -- 7.3.2.4 GSM Module -- 7.3.3 Proposed Work -- 7.4 Experimental Results -- 7.4.1 Dataset Preparation -- 7.4.2 Performance Analysis of DL Algorithms -- 7.5 Conclusion -- References -- Chapter 8 A Study of WSN Privacy Through AI Technique -- 8.1 Introduction -- 8.2 Review of Literature -- 8.3 ML in WSNs -- 8.3.1 Supervised Learning…”

Tabla de Contenidos: “…s SegNet architecture -- 1.7.7 Application of deep learning to object tracking -- 1.7.8 Application of deep learning to texture classification -- 1.7.9 Texture analysis in the world of deep learning -- 1.8 Part G - Summary -- Acknowledgments -- References -- Biographies -- 2 Advanced methods for robust object detection -- 2.1 Introduction -- 2.2 Preliminaries -- 2.3 R-CNN -- 2.3.1 System design -- 2.3.2 Training -- 2.4 SPP-Net -- 2.5 Fast R-CNN -- 2.5.1 Architecture -- 2.5.2 RoI pooling -- 2.5.3 Multitask loss -- 2.5.4 Finetuning strategy -- 2.6 Faster R-CNN -- 2.6.1 Architecture -- 2.6.2 Region proposal networks -- 2.7 Cascade R-CNN -- 2.7.1 Architecture -- 2.7.2 Cascaded bounding box regression -- 2.7.3 Cascaded detection -- 2.8 Multiscale feature representation -- 2.8.1 MS-CNN -- 2.8.1.1 Architecture -- 2.8.2 FPN -- 2.8.2.1 Architecture -- Bottom-up pathway -- Top-down pathway and lateral connections -- 2.9 YOLO -- 2.10 SSD -- 2.10.1 Architecture -- 2.10.2 Training…”

Tabla de Contenidos: “…-- 11.3.1 Projekt: Einfache Webcam mit statischer Webseite -- 11.4 Lösungen zu den Zwischenfragen -- Kapitel 12: Erweiterungen: OLED und HAT -- 12.1 OLED-Display -- 12.2 Anschluss -- 12.3 Installation der SSD1306-Bibliothek…”