Tabla de Contenidos: “…Preface to "Feature Papers of Drones-Volume II" ix -- Pasture Productivity Assessment under Mob Grazing and Fertility Management Using Satellite and UAS Imagery 1 -- A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management 19 -- The Relationship between Drone Speed and the Number of Flights in RFID Tag Reading for Plant Inventory 61 -- Comparison of RGB and Multispectral Unmanned Aerial Vehicle for Monitoring Vegetation Coverage Changes on a Landslide Area 73 -- Quantifying the Spatial Variability of Annual and Seasonal Changes in Riverscape Vegetation Using Drone Laser Scanning 87 -- UAV-Based Classification of Cercospora Leaf Spot Using RGB Images 109 -- Unmanned Aerial Vehicles for Wildland Fires: Sensing, Perception, Cooperation and Assistance 125 -- Spray Deposition on Weeds (Palmer Amaranth and Morningglory) from a Remotely Piloted Aerial Application System and Backpack Sprayer 151 -- An Approach for Route Optimization in Applications of Precision Agriculture Using UAVs 169 -- High Resolution Geospatial Evapotranspiration Mapping of Irrigated Field Crops Using -- Multispectral and Thermal Infrared Imagery with METRIC Energy Balance Model 193 -- Vegetation Extraction Using Visible-Bands from Openly Licensed Unmanned Aerial Vehicle Imagery 211 -- Comparing UAS LiDAR and Structure-from-Motion Photogrammetry for Peatland Mapping -- and Virtual Reality (VR) Visualization 227 -- Application of Drone Technologies in Surface Water Resources Monitoring and Assessment: A Systematic Review of Progress, Challenges, and Opportunities in the Global South 253 -- Monitoring Dynamic Braided River Habitats: Applicability and Efficacy of Aerial Photogrammetry from Manned Aircraft versus Unmanned Aerial Systems 275 -- Assessing the Potential of Remotely-Sensed Drone Spectroscopy to Determine Live Coral Cover on Heron Reef 293 -- The Use of UAVs for the Characterization and Analysis of Rocky Coasts 313 -- Modeling Streamflow and Sediment Loads with a Photogrammetrically Derived UAS Digital Terrain Model: Empirical Evaluation from a Fluvial Aggregate Excavation Operation 331 -- Temperature Profiling of Waterbodies with a UAV-Integrated Sensor Subsystem 49 -- Implementing Mitigations for Improving Societal Acceptance of Urban Air Mobility 359 -- The Use of Drones in the Spatial Social Sciences 379 -- On the Dominant Factors of Civilian-Use Drones: A Thorough Study and Analysis of Cross-Group Opinions Using a Triple Helix Model (THM) with the Analytic Hierarchy Process (AHP) 391 -- Drone Control in AR: An Intuitive System for Single-Handed Gesture Control, Drone Tracking, and Contextualized Camera Feed Visualization in Augmented Reality 423 -- Demystifying the Differences between Structure-from-MotionSoftware Packages for Pre-Processing Drone Data 449 -- Determining the Optimal Number of Ground Control Points for Varying Study Sites through Accuracy Evaluation of Unmanned Aerial System-Based 3D Point Clouds and Digital Surface Models 471 -- Drone Magnetometry in Mining Research. …”

Tabla de Contenidos: “…Halmemies, Raimo Al ́en, Jarkko Hellstr ̈om, Otto L ̈asp ̈a, Juha Nurmi and Maija Hujala et al. Behaviour of Extractives in Norway Spruce (Picea abies) Bark during Pile Storage Reprinted from: Molecules 2022, 27, 1186, doi:10.3390/molecules27041186 107 Maginot Ngangyo Heya, Ana Leticia Romo Hern ́andez, Rahim Foroughbakhch Pournavab, Luis Fernando Ibarra Pintor, Lourdes D ́ıaz-Jim ́enez and Michel St ́ephane Heya et al. …”

Tabla de Contenidos: “…-- Detecting and Resolving Model Inconsistencies Using Transformation Dependency Analysis -- Merging Models with the Epsilon Merging Language (EML) -- Formal Semantics of UML -- Mappings, Maps and Tables: Towards Formal Semantics for Associations in UML2 -- Semantic Variations Among UML StateMachines -- Facilitating the Definition of General Constraints in UML -- Security -- Towards a MOF/QVT-Based Domain Architecture for Model Driven Security -- MDA-Based Re-engineering with Object-Z -- A Model Transformation Semantics and Analysis Methodology for SecureUML -- Model Transformation Tools and Implementation -- Incremental Model Transformation for the Evolution of Model-Driven Systems -- A Plugin-Based Language to Experiment with Model Transformation -- SiTra: Simple Transformations in Java -- Analyzing Dynamic Models -- Analysis and Visualization of Behavioral Dependencies Among Distributed Objects Based on UML Models -- Model Extraction Using Context Information -- Dynamic and Generic Manipulation of Models: From Introspection to Scripting -- Specifying Transformations -- Model Transformation by Example -- Graphical Definition of In-Place Transformations in the Eclipse Modeling Framework -- Model Transformations? …”

Tabla de Contenidos: “…Create a New FileDelete a File; Restore a Deleted File; Add Tags to a File; Search for a File; Extract Files from a Compressed Folder; Chapter 7 Sharing Your Computer with Others; Display User Accounts; Create a User Account; Switch Between Accounts; Change a User's Name; Protect an Account with a Password; Change a User's Picture; Delete an Account; Share a Document or Folder; Set Up Parental Controls; Open the Network and Sharing Center; Connect to a Wireless Network; View Network Resources; Print over the Network; Chapter 8 Using Windows Vista's Notebook Features; Display Mobility Settings…”

Tabla de Contenidos: “…Tutorial 25 Recognizing UK Postal CodesTutorial 26 Finding Variable Names in Source Codes; Tutorial 27 Finding Double-Quoted Strings; Tutorial 28 Finding Single-Quoted Strings; Tutorial 29 Finding Currency Values; Tutorial 30 Finding Time Values; Tutorial 31 Recovering Text from Corrupted Documents; Tutorial 32 Extracting Text from PDF Files; Tutorial 33 Mail and HTTP Header Removal; Tutorial 34 ISO 8601 Date Format Output; Tutorial 35 Relative Date Tool (theDate); Tutorial 36 ZIP/Postal Code-to-Location Mapping; Tutorial 37 Shortest Distance Between Two Towns…”

Tabla de Contenidos: “…Discussion2.13 Creating a Delimited String; Problem; Solution; Discussion; See Also; 2.14 Extracting Items from a Delimited String; Problem; Solution; Discussion; See Also; 2.15 Iterating over Each Character in a String; Problem; Solution; Discussion; 2.16 Pruning Characters from the Head and/or Tail of a String; Problem; Solution; Discussion; See Also; 2.17 Testing a String for Null or Empty; Problem; Solution; Discussion; See Also; 2.18 Appending a Line; Problem; Solution; Discussion; See Also; Classes and Structures; 3.0 Introduction; 3.1 Creating Union-Type Structures; Problem; Solution…”

Tabla de Contenidos:

Tabla de Contenidos: “…6.5 Spectrum of the Output Signal6.6 Mean-Weighted Highpass Filters; 6.7 Least-Squares Design of Edge Extracting Filters; 6.8 Summary; 6.9 Appendix; Chapter 7. …”

Tabla de Contenidos: “…Strings; 1.0 Introduction; 1.1 Accessing Substrings; Problem; Solution; Discussion; See Also; 1.2 Extracting Substrings; Problem; Solution; Discussion; See Also; 1.3 Replacing Substrings; Problem; Solution; Discussion; See Also; 1.4 Processing a String One Byte at a Time; Problem; Solution…”

Tabla de Contenidos: “…SolutionDiscussion; See Also; 1.14 Using FTP from the Router; Problem; Solution; Discussion; See Also; 1.15 Generating Large Numbers of Router Configurations; Problem; Solution; Discussion; See Also; 1.16 Changing the Configurations of Many Routers at Once; Problem; Solution; Discussion; See Also; 1.17 Extracting Hardware Inventory Information; Problem; Solution; Discussion; See Also; 1.18 Backing Up Router Configurations; Problem; Solution; Discussion; See Also; Router Management; 2.0 Introduction; 2.1 Creating Command Aliases; Problem; Solution; Discussion…”

Tabla de Contenidos: “…Preview a FileCopy a File; Move a File; Burn Files to a CD or DVD; Rename a File; Create a New File; Delete a File; Restore a Deleted File; Add Tags to a File; Search for a File; Extract Files from a Compressed Folder; Chapter 7: Sharing Your Computer with Others; Display User Accounts; Create a User Account; Switch Between Accounts; Change a User's Name; Change a User's Picture; Delete an Account; Create a Homegroup; Join a Homegroup; Share a Document or Folder; Connect to a Wireless Network; View Network Resources; Chapter 8: Using Windows 7's Notebook Features; Display Mobility Settings…”

Tabla de Contenidos:

Tabla de Contenidos: “…-- 7.10 Reflexive Institutions -- 7.11 Extracting Norms From Institutions -- 8 The Long March: Does Moral Progress Require Moral Facts? …”

Tabla de Contenidos: “…Network training -- Evaluating the model -- Frequently asked questions (FAQs) -- Summary -- Answers to questions -- Chapter 3: Multi-Label Image Classification Using Convolutional Neural Networks -- Image classification and drawbacks of DNNs -- CNN architecture -- Convolutional operations -- Pooling and padding operations -- Fully connected layer (dense layer) -- Multi-label image classification using CNNs -- Problem description -- Description of the dataset -- Removing invalid images -- Workflow of the overall project -- Image preprocessing -- Extracting image metadata -- Image feature extraction -- Preparing the ND4J dataset -- Training, evaluating, and saving the trained CNN models -- Network construction -- Scoring the model -- Submission file generation -- Wrapping everything up by executing the main() method -- Frequently asked questions (FAQs) -- Summary -- Answers to questions -- Chapter 4: Sentiment Analysis Using Word2Vec and LSTM Network -- Sentiment analysis is a challenging task -- Using Word2Vec for neural word embeddings -- Datasets and pre-trained model description -- Large Movie Review dataset for training and testing -- Folder structure of the dataset -- Description of the sentiment labeled dataset -- Word2Vec pre-trained model -- Sentiment analysis using Word2Vec and LSTM -- Preparing the train and test set using the Word2Vec model -- Network construction, training, and saving the model -- Restoring the trained model and evaluating it on the test set -- Making predictions on sample review texts -- Frequently asked questions (FAQs) -- Summary -- Answers to questions -- Chapter 5: Transfer Learning for Image Classification -- Image classification with pretrained VGG16 -- DL4J and transfer learning -- Developing an image classifier using transfer learning -- Dataset collection and description -- Architecture choice and adoption…”

Tabla de Contenidos: “…Checking the stationarity of time series -- Exploring, exploring, and exploring -- Understanding DeepAR -- Object2Vec -- Unsupervised learning -- Clustering -- Computing K-Means step by step -- Defining the number of clusters and measuring cluster quality -- Conclusion -- Anomaly detection -- Dimensionality reduction -- Using AWS's built-in algorithm for PCA -- IP Insights -- Textual analysis -- BlazingText algorithm -- Sequence-to-sequence algorithm -- Neural Topic Model algorithm -- Image processing -- Image classification algorithm -- Semantic segmentation algorithm -- Object detection algorithm -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 7: Evaluating and Optimizing Models -- Introducing model evaluation -- Evaluating classification models -- Extracting metrics from a confusion matrix -- Summarizing precision and recall -- Evaluating regression models -- Exploring other regression metrics -- Model optimization -- Grid search -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 8: AWS Application Services for AI/ML -- Technical requirements -- Analyzing images and videos with Amazon Rekognition -- Exploring the benefits of Amazon Rekognition -- Getting hands-on with Amazon Rekognition -- Text to speech with Amazon Polly -- Exploring the benefits of Amazon Polly -- Getting hands-on with Amazon Polly -- Speech to text with Amazon Transcribe -- Exploring the benefits of Amazon Transcribe -- Getting hands-on with Amazon Transcribe -- Implementing natural language processing with Amazon Comprehend -- Exploring the benefits of Amazon Comprehend -- Getting hands-on with Amazon Comprehend -- Translating documents with Amazon Translate -- Exploring the benefits of Amazon Translate -- Getting hands-on with Amazon Translate -- Extracting text from documents with Amazon Textract…”

Tabla de Contenidos: “…UDF to extract rules from a model to a table -- Appendix H. …”

Tabla de Contenidos: “…Finding relations and extracting advice -- 7.1.5. Reading the model summary and characterizing coefficient quality -- 7.1.6. …”

Tabla de Contenidos: “…3.9 Conclusion -- Acknowledgement -- References -- Chapter 4 An Impact on Strategical Advancement and Its Analysis of Training the Autonomous Unmanned Aerial Vehicles in Warfare [Theme - RPA and Machine Learning] -- 4.1 Introduction -- 4.2 Aim of the Study -- 4.3 Motivation for the Study -- 4.4 Supervised and Unsupervised Machine Learning for UAVs -- 4.4.1 Supervised Learning Overview -- 4.4.2 Overview of Unsupervised Learning -- 4.4.3 Supervised and Unsupervised UAV-Based Solution Problems -- 4.5 Unsupervised Solution -- 4.5.1 Estimation of Channel -- 4.5.2 Detection of UAVs -- 4.5.3 Imaging for Unmanned Aerial Vehicles -- 4.6 Conclusion -- 4.7 Scope for the Future Work -- Acknowledgement -- References -- Chapter 5 FLASH: Web-Form's Logical Analysis &amp -- Session Handling Automatic Form Classification and Filling on Surface and Dark Web -- 5.1 Introduction -- 5.2 Literature Review -- 5.2.1 Notable Approaches -- 5.2.1.1 Crawling the Hidden Web -- 5.2.1.2 Google's Deep Web Crawl -- 5.2.1.3 Other Approaches -- 5.3 How FLASH Offers Better Results -- 5.4 Methodology -- 5.4.1 Form Identification and Field Extraction -- 5.4.1.1 Form Identification -- 5.4.1.2 Extraction of Fields -- 5.4.2 Form HTML Tag Interpretation -- 5.4.2.1 Identification of Form Type -- 5.4.2.2 Identification of Request Method -- 5.4.3 Interpretation of Form Fields -- 5.4.4 Form Classification -- 5.4.5 Generation and Sending of Request with Appropriate Data -- 5.4.5.1 Generation of the Request -- 5.4.5.2 Sending the Request -- 5.5 Results -- 5.5.1 Classification of Forms -- 5.5.2 Dataset -- 5.5.2.1 Manual -- 5.5.2.2 Automated -- 5.5.3 Accuracy Measures -- 5.5.4 Manual Dataset -- 5.5.4.1 Form Classification -- 5.5.4.2 Form Filling -- 5.5.5 Automated Datasets -- 5.5.5.1 Form Classification -- 5.5.5.2 Form Input-Tag Inference -- 5.6 Limitations and Future Work -- 5.6.1 Limitations…”

Tabla de Contenidos: “…Querying VGI by semantic enrichment / Rob Lemmens, Gilles Falquet, Stefano De Sabbata, Bin Jiang and Benedicte Bucher -- Chapter 15. Extracting location information from crowd-sourced social network data / Pinar Karagoz, Hali Oguztuzun, Ruket Cakici, Ozer Ozdikis, Kezban Dilek Onal and Meryem Sagcan -- Chapter 16. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Splunk - Getting Started -- Your Splunk account -- Obtaining a Splunk account -- Installing Splunk on Windows -- Installing Splunk on Linux -- Logging in for the first time -- Running a simple search -- Creating a Splunk app -- Populating data with Eventgen -- Using the CLI to configure Eventgen -- Installing the Eventgen add-on (Windows and Linux) -- Controlling Splunk -- Configuring Eventgen -- Viewing the Destinations app -- Creating your first dashboard -- Summary -- Chapter 2: Bringing in Data -- Splunk and big data -- Streaming data -- Analytical data latency -- Sparseness of data -- Splunk data sources -- Machine data -- Web logs -- Data files -- Social media data -- Relational database data -- Other data types -- Creating indexes -- Buckets -- Log files as data input -- Splunk events and fields -- Extracting new fields -- Summary -- Chapter 3: Search Processing Language -- Anatomy of a search -- Search pipeline -- Time modifiers -- Filtering search results -- Search command - stats -- Search command - top/rare -- Search commands - chart and timechart -- Search command - eval -- Search command - rex -- Summary -- Chapter 4: Reporting, Alerts, and Search Optimization -- Data classification with Event Types -- Data normalization with Tags -- Data enrichment with Lookups -- Creating and scheduling reports -- Creating alerts -- Search and Report acceleration -- Scheduling options -- Summary indexing -- Summary -- Chapter 5: Dynamic Dashboarding -- Creating effective dashboards -- Types of dashboards -- Gathering business requirements -- Dynamic form-based dashboard -- Creating a Status Distribution panel -- Creating the Status Types Over Time panel -- Creating the Hits vs Response Time panel -- Arrange the dashboard…”