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Raol Jitendra R.: Data Fusion
Mathematics

Data Fusion Mathematics

Theory and Practice

1. Introduction to Data Fusion Process. 2. Statistics, Probability Models, and Reliability: Towards Probabilistic Data Fusion. 3. Fuzzy Logic and Possibility Theory Based Fusion. 4. Filtering, Target¿Tracking, and Kinematic Data Fusion. 5. Decentralized Data Fusion Systems. 6. Component Analysis and Data Fusion. 7. Image Algebra and Image Fusion. 8. Decision Theory and Fusion. 9. Wireless Sensor Networks and Multimodal Data Fusion. 10. Soft Computing Approaches to Data Fusion. 11. Machine Learning in Data Fusion. 12. Target Localization Using Network of 2D Ground Radars. 13. Multi¿Target Angle Only Tracking Using Thermal Imaging Sensors. 14. Multi¿Sensor Data Fusion for Single Platform and Team of Platforms.

Numerical Methods-Based Approaches

Fatigue Damage in Metals

Using Electromagnetic Signal and Information Theory

Intelligent Metasurfaces for 6G and Beyond

Electromagnetic Analysis of Electric Machines

The Science of Scaling Revenue

This book covers a broad range of questions related to the importance of cell geometry in many areas, including nuclear positioning, chromosome dynamics, cytoskeletal remodeling, tissue patterning, cell-matrix and multicellular contacts. It also addresses medical implications, from its implication in the development of tumors to its role in fibrosis. Together, the chapters in this book will highlight current knowledge and modern approaches to investigating the biophysical design principles underlying key biological functions, with the overall goal of elucidating the connections between cell geometry and nuclear mechanics.

This book covers a broad range of questions related to the importance of cell geometry in many areas, including nuclear positioning, chromosome dynamics, cytoskeletal remodeling, tissue patterning, cell-matrix and multicellular contacts. It also addresses medical implications, from its implication in the development of tumors to its role in fibrosis. Together, the chapters in this book will highlight current knowledge and modern approaches to investigating the biophysical design principles underlying key biological functions, with the overall goal of elucidating the connections between cell geometry and nuclear mechanics.

Cell Geometry

Math Survival Guide: Tips for Science Student, 3E

Fundamentals of Environmental Engineering

This book will include simplified, yet comprehensive details of geotechnical engineering issues that are important to environmental engineers. It will explain how to analyze and interpret numerous practical geotechnical engineering problems.

This book will include simplified, yet comprehensive details of geotechnical engineering issues that are important to environmental engineers. It will explain how to analyze and interpret numerous practical geotechnical engineering problems.

Geotechnical Engineering for Environmental Engineers

This book covers the basic principles of lasers, including different kind of industrial/research lasers available and their comparative analysis based on output power, wavelength, beam quality, portability and wall plug efficiency. It presents the fundamentals of laser materials processing techniques.

This book covers the basic principles of lasers, including different kind of industrial/research lasers available and their comparative analysis based on output power, wavelength, beam quality, portability and wall plug efficiency. It presents the fundamentals of laser materials processing techniques.

Engineering Applications of Lasers

Inside Rugby's Tactical and Data Revolution

Attacking the Space

Partial Discharge, Breakdown, Aging and Life Assessment in Electric Power Assets

Advanced Grid Technologies provides a coherent, practical introduction to the innovative modern techniques required to integrate renewable energy into power grids. Volume 2: Communication Networks, Internet of Things, Security Layers, Economics, and Policies focuses on essential intelligence technologies for markets, security, and demand response, as well as policy and the solutions each presents to the challenges set by renewable integration. This second volume begins by outlining the major challenges renewable-integrated grids present for communication and security, and provides a clear, coherent comparison between the fundamentals of two potential approaches. An introduction to resilience and stability in the face of unexpected events is provided, including event-triggered control. Finally, the essential aspects of economics and policy are outlined, and the use of Data Centers for mitigating energy management challenges are explained. Including a variety of numerical examples and working from early principles for each topic, 'Advanced Grid Technologies' provides late-stage undergraduate and graduate students in energy systems and power engineering, as well as engineers working to modernize the power grid, with a fundamental resource for renewable energy integration.

Communication Networks, Internet-of-Things, Security Layers, Economics, and Policies

Advanced Grid Technologies, Volume 2

Learn to build a web app that can monitor millions of posts across all social media platforms to chart public opinion in real time. Social media has become our modern-day agora, the place where we get our news and engage in political discourse. With disinformation, hate speech, foreign interference, authoritarianism, market monopolization, and political polarization all on the rise, monitoring social media in the public interest has never been so difficult nor so urgent. Social Media Observatory is an in-depth beginner’s guide to coding full-stack web applications in Python to track and analyze social media activity at scale, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions. You’ll start by coding a web app to monitor Russian disinformation channels discussing Ukraine on Telegram, then learn more adversarial methods to scrape the Wayback Machine, Instagram, and TikTok. You’ll detect Twitter bots following Saudi influencers, extract text-embedded URLs to reveal a white supremacist blogosphere, parse archived tweets to reveal the discourse leading up to the January 6 insurrection, and learn to circumvent Meta's and ByteDance's defenses to scrape Instagram and TikTok, collecting evidence of war crimes in the Middle East. Finally, you’ll write an API and deploy your observatory to a cloud server to collaborate with other investigators. By the end of the book, you’ll have a working website that allows collaborators to log in, request data collection, and perform analysis of collected data, via a point-and-click interface.&nbsp; Along the way, you’ll learn to: <ul><li>Use Python and RabbitMQ to retrieve Telegram data from a remote API</li><li>Store data with PostgreSQL and query it with SQLAlchemy</li><li>Analyze the data you’ve retrieved with Pandas, NetworkX, Gephi, and other tools</li><li>Use state-of-the-art AI tools to transcribe audio and classify text</li><li>Deploy a website with an interactive dashboard using FastAPI, Dash, Cytoscape, Uvicorn, Gunicorn, Nginx, AWS, and Let’s Encrypt</li><li>Containerize your apps with Docker and provision infrastructure with Pulumi</li></ul> Whether you’re a citizen scientist, a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

Learn to build a web app that can monitor millions of posts across all social media platforms to chart public opinion in real time. Social media has become our modern-day agora, the place where we get our news and engage in political discourse. With disinformation, hate speech, foreign interference, authoritarianism, market monopolization, and political polarization all on the rise, monitoring social media in the public interest has never been so difficult nor so urgent. Social Media Observatory is an in-depth beginner’s guide to coding full-stack web applications in Python to track and analyze social media activity at scale, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions. You’ll start by coding a web app to monitor Russian disinformation channels discussing Ukraine on Telegram, then learn more adversarial methods to scrape the Wayback Machine, Instagram, and TikTok. You’ll detect Twitter bots following Saudi influencers, extract text-embedded URLs to reveal a white supremacist blogosphere, parse archived tweets to reveal the discourse leading up to the January 6 insurrection, and learn to circumvent Meta's and ByteDance's defenses to scrape Instagram and TikTok, collecting evidence of war crimes in the Middle East. Finally, you’ll write an API and deploy your observatory to a cloud server to collaborate with other investigators. By the end of the book, you’ll have a working website that allows collaborators to log in, request data collection, and perform analysis of collected data, via a point-and-click interface.&nbsp; Along the way, you’ll learn to: <ul><li>Use Python and RabbitMQ to retrieve Telegram data from a remote API</li><li>Store data with PostgreSQL and query it with SQLAlchemy</li><li>Analyze the data you’ve retrieved with Pandas, NetworkX, Gephi, and other tools</li><li>Use state-of-the-art AI tools to transcribe audio and classify text</li><li>Deploy a website with an interactive dashboard using FastAPI, Dash, Cytoscape, Uvicorn, Gunicorn, Nginx, AWS, and Let’s Encrypt</li><li>Containerize your apps with Docker and provision infrastructure with Pulumi</li></ul> Whether you’re a citizen scientist, a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

Social Media Observatory

Data Fusion Mathematics

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

Weitere Titel zum Thema