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Intelligent Autonomous Drones with Cognitive Deep Learning

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Release : 2022-11-01
Genre : Computers
Kind : eBook
Book Rating : 025/5 ( reviews)

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Book Synopsis Intelligent Autonomous Drones with Cognitive Deep Learning by : David Allen Blubaugh

Download or read book Intelligent Autonomous Drones with Cognitive Deep Learning written by David Allen Blubaugh. This book was released on 2022-11-01. Available in PDF, EPUB and Kindle. Book excerpt: What is an artificial intelligence (AI)-enabled drone and what can it do? Are AI-enabled drones better than human-controlled drones? This book will answer these questions and more, and empower you to develop your own AI-enabled drone. You'll progress from a list of specifications and requirements, in small and iterative steps, which will then lead to the development of Unified Modeling Language (UML) diagrams based in part to the standards established by for the Robotic Operating System (ROS). The ROS architecture has been used to develop land-based drones. This will serve as a reference model for the software architecture of unmanned systems. Using this approach you'll be able to develop a fully autonomous drone that incorporates object-oriented design and cognitive deep learning systems that adapts to multiple simulation environments. These multiple simulation environments will also allow you to further build public trust in the safety of artificial intelligence within drones and small UAS. Ultimately, you'll be able to build a complex system using the standards developed, and create other intelligent systems of similar complexity and capability. Intelligent Autonomous Drones with Cognitive Deep Learning uniquely addresses both deep learning and cognitive deep learning for developing near autonomous drones. What You’ll Learn Examine the necessary specifications and requirements for AI enabled drones for near-real time and near fully autonomous drones Look at software and hardware requirements Understand unified modeling language (UML) and real-time UML for design Study deep learning neural networks for pattern recognition Review geo-spatial Information for the development of detailed mission planning within these hostile environments Who This Book Is For Primarily for engineers, computer science graduate students, or even a skilled hobbyist. The target readers have the willingness to learn and extend the topic of intelligent autonomous drones. They should have a willingness to explore exciting engineering projects that are limited only by their imagination. As far as the technical requirements are concerned, they must have an intermediate understanding of object-oriented programming and design.

Autonomous Drones

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Author :
Release : 2021-04-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 087/5 ( reviews)

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Book Synopsis Autonomous Drones by : Fouad Sabry

Download or read book Autonomous Drones written by Fouad Sabry. This book was released on 2021-04-10. Available in PDF, EPUB and Kindle. Book excerpt: What Is Autonomous Drone An autonomous drone can conduct a safe flight without the intervention of a pilot. It does so with the help of artificial intelligence, and many other emerging technologies, enabling it to cope with all kinds of unforeseen and unpredictable emergency situations. How You Will Benefit - Answering the public top 100 questions about autonomous drones with insight, validation, and creativity. - Real world examples for the usage of drones in 38 industries and 21 corporations. - Glossary with 187 terms serves as a complete list of essential drone terms for pilots, professionals, and enthusiasts. - 17 appendices to briefly explain 266 emerging technology in each industry to have 360-degree full understanding of drones’ technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of drone.

Deep Learning for Robot Perception and Cognition

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Release : 2022-02-04
Genre : Computers
Kind : eBook
Book Rating : 721/5 ( reviews)

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Book Synopsis Deep Learning for Robot Perception and Cognition by : Alexandros Iosifidis

Download or read book Deep Learning for Robot Perception and Cognition written by Alexandros Iosifidis. This book was released on 2022-02-04. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

AI In Drone Revolution

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Release : 2024-07-19
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis AI In Drone Revolution by : Gaius Chiinaza

Download or read book AI In Drone Revolution written by Gaius Chiinaza. This book was released on 2024-07-19. Available in PDF, EPUB and Kindle. Book excerpt: Sky AI: The Drone Revolution Discover the future of technology with "Sky AI: The Drone Revolution," a groundbreaking exploration of how artificial intelligence is transforming autonomous drones. This comprehensive guide delves into the revolutionary advancements that are reshaping the skies and the way we interact with technology. In this meticulously researched and engaging book, you'll uncover how AI-driven drones are redefining industries, from agriculture and logistics to surveillance and disaster response. Each chapter provides an in-depth look at the integration of AI with drone technology, offering readers a thorough understanding of both theoretical concepts and practical applications. Key Highlights: Exploration of AI Technology: Understand the core principles of artificial intelligence and how they are applied to autonomous drones. Learn about the algorithms, sensors, and machine learning models that enable drones to perform complex tasks with precision and efficiency. Real-World Applications: Dive into a range of applications where autonomous drones are making a significant impact. From enhancing precision agriculture with real-time crop monitoring to revolutionizing logistics with efficient delivery systems, this book showcases how drones are transforming various sectors. Technical Insights: Gain a deep understanding of the technical challenges and solutions related to drone technology. Explore topics such as path planning algorithms, real-time decision-making, and sensor integration, providing you with valuable knowledge for both enthusiasts and professionals. Case Studies: Learn from real-world examples and case studies that illustrate the practical applications of autonomous drones. Discover how drones have been utilized in disaster response, infrastructure inspection, and live event coverage, showcasing their versatility and potential. Future Trends: Stay ahead of the curve with insights into the future of autonomous drones. Explore emerging technologies such as swarm robotics, advanced AI algorithms, and integration with 5G networks, and understand how these innovations will shape the next generation of drone technology. Ethical and Regulatory Considerations: Address important ethical and regulatory issues surrounding the use of autonomous drones. Understand the implications of privacy concerns, airspace regulations, and the ethical considerations of AI-driven decision-making. Why Read This Book? "Sky AI: The Drone Revolution" is essential reading for technology enthusiasts, industry professionals, and anyone interested in the intersection of artificial intelligence and autonomous systems. Whether you are a drone pilot, a researcher, or simply curious about the future of technology, this book provides valuable insights and practical knowledge that will enrich your understanding of this rapidly evolving field. With its clear explanations, detailed analysis, and engaging content, "Sky AI: The Drone Revolution" offers a comprehensive and accessible look at how AI is transforming the skies. Embrace the future of technology and discover how autonomous drones are paving the way for new possibilities in the world of innovation. Get ready to explore the limitless potential of autonomous drones with "Sky AI: The Drone Revolution" and be part of the next big leap in technology.

Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing

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Author :
Release : 2023-11-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 463/5 ( reviews)

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Book Synopsis Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing by : Amit Kumar

Download or read book Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing written by Amit Kumar. This book was released on 2023-11-02. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.

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