Advances in AI and Autonomous Vehicles: Cybernetic Self-Driving Cars PDF Download
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Author: Lance Eliot
Publisher: Lbe Press Publishing
ISBN: 9780692915172
Category :
Languages : en
Pages : 250
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Book Description
This ground-breaking and insider look at cybernetic self-driving cars provides a state-of-the-art exploration of how advances in AI and machine learning are enabling the advent of self-driving cars.
Author: Lance Eliot
Publisher: Lbe Press Publishing
ISBN: 9780692915172
Category :
Languages : en
Pages : 250
Get Book Here
Book Description
This ground-breaking and insider look at cybernetic self-driving cars provides a state-of-the-art exploration of how advances in AI and machine learning are enabling the advent of self-driving cars.
Author: Lance Eliot
Publisher: Lbe Press Publishing
ISBN: 9780692161753
Category :
Languages : en
Pages : 216
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Book Description
Famous expert on AI and self-driving cars, Dr. Lance Eliot provides the latest in AI innovations and driverless cars. He offers insights about how these Autonomous Vehicles (AV) are making use of machine learning and AI. Providing practical aspects, he blends together high-tech along with the business and societal impacts. For access to his podcasts, see his web site: www.ai-selfdriving-cars.guru
Author: Lance Eliot
Publisher: Lbe Press Publishing
ISBN: 9780692174012
Category :
Languages : en
Pages : 228
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Book Description
Global expert on AI and self-driving driverless cars, Dr. Lance Eliot provides an indication of the crucial high-tech advances both needed and that are underway. He brings together his deep insights into the rise of Autonomous Vehicles (AV) and covers the high-tech, business, governmental, and societal impacts. For access to his podcasts, see his web site: www.ai-selfdriving-cars.guru
Author: Frank J. Furrer
Publisher: Springer
ISBN: 3658199385
Category : Computers
Languages : en
Pages : 395
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Book Description
This book focuses on software architecture and the value of architecture in the development of long-lived, mission-critical, trustworthy software-systems. The author introduces and demonstrates the powerful strategy of “Managed Evolution,” along with the engineering best practice known as “Principle-based Architecting.” The book examines in detail architecture principles for e.g., Business Value, Changeability, Resilience, and Dependability. The author argues that the software development community has a strong responsibility to produce and operate useful, dependable, and trustworthy software. Software should at the same time provide business value and guarantee many quality-of-service properties, including security, safety, performance, and integrity. As Dr. Furrer states, “Producing dependable software is a balancing act between investing in the implementation of business functionality and investing in the quality-of-service properties of the software-systems.” The book presents extensive coverage of such concepts as: Principle-Based Architecting Managed Evolution Strategy The Future Principles for Business Value Legacy Software Modernization/Migration Architecture Principles for Changeability Architecture Principles for Resilience Architecture Principles for Dependability The text is supplemented with numerous figures, tables, examples and illustrative quotations. Future-Proof Software-Systems provides a set of good engineering practices, devised for integration into most software development processes dedicated to the creation of software-systems that incorporate Managed Evolution.
Author: Lance Eliot
Publisher: Lbe Press Publishing
ISBN: 9780692052464
Category :
Languages : en
Pages : 346
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Book Description
Based on his popular AI Insider column and reader feedback, this is Dr. Eliot's highly rated introductory coverage on the emergence and advent of autonomous driverless self-driving cars. Readable for everyone, discover the underlying technology that makes self-driving cars achievable. Furthermore, learn about the key business aspects, economics, and politics that will shape the future of self-driving cars. Essential elements of Artificial Intelligence (AI) and Machine Learning are covered, along with blockchain, bitcoins, genetic algorithms, neural networks, and more.
Author: Yamine Ait-Ameur
Publisher: Springer Nature
ISBN: 3030324095
Category : Computers
Languages : en
Pages : 543
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Book Description
This book constitutes the proceedings of the 21st International Conference on Formal Engineering Methods, ICFEM 2019, held in Shenzhen, China, in November 2019. The 28 full and 8 short papers presented in this volume were carefully reviewed and selected from 94 submissions. They deal with the recent progress in the use and development of formal engineering methods for software and system design and record the latest development in formal engineering methods.
Author: Janmenjoy Nayak
Publisher: Springer Nature
ISBN: 3031540387
Category : Cooperating objects (Computer systems)
Languages : en
Pages : 412
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Book Description
This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity.
Author: Efraim Turban
Publisher: John Wiley & Sons
ISBN: 1119802520
Category : Computers
Languages : en
Pages : 659
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Book Description
Information Technology for Management provides students with a comprehensive understanding of the latest technological developments in IT and the critical drivers of business performance, growth, and sustainability. Integrating feedback from IT managers and practitioners from top-level organizations worldwide, the International Adaptation of this well-regarded textbook features thoroughly revised content throughout to present students with a realistic, up-to-date view of IT management in the current business environment. This text covers the latest developments in the real world of IT management with the addition of new case studies that are contemporary and more relevant to the global scenario. It offers a flexible, student-friendly presentation of the material through a pedagogy that is designed to help students easily comprehend and retain information. There is new and expanded coverage of Artificial Intelligence, Robotics, Quantum Computing, Blockchain Technology, IP Intelligence, Big Data Analytics, IT Service Management, DevOps, etc. It helps readers learn how IT is leveraged to reshape enterprises, engage and retain customers, optimize systems and processes, manage business relationships and projects, and more.
Author: Lance Eliot
Publisher: R. R. Bowker
ISBN: 9781732976030
Category : Computers
Languages : en
Pages : 252
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Book Description
A vital book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides inventive advances for the advent of AI self-driving driverless cars. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).
Author: Lance Eliot
Publisher: Lbe Press Publishing
ISBN: 9780692048351
Category :
Languages : en
Pages : 258
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Book Description
Top expert Dr. Lance B. Eliot provides the latest new insights about AI Autonomous Vehicles (AV) that are emerging as driverless self-driving cars and are progressively appearing on our roadways and byways. Vital issues he addresses include present and future technological advances, societal readiness, business aspects, economic considerations, and other ramifications about how this disruptive innovation will transform the world. Referred to as the "AI Insider" and currently serving as the Executive Director of the Cybernetic Self-Driving Car Institute for Techbrium Inc., he provides a no-holds-barred analysis of how Artificial Intelligence and Machine Learning are both a strength and a potential weakness in the effort toward developing true SAE Level 5 self-driving cars.
