UID:
almahu_9949272441102882
Format:
VIII, 262 p. 138 illus., 96 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783030967376
Series Statement:
Studies in Computational Intelligence, 1030
Content:
This book bridges principles and real-world applications, while also providing thorough theory and technology for the development of artificial intelligence and robots. A lack of cross-pollination between AI and robotics research has led to a lack of progress in both fields. Now that both technologies have made significant strides, there is increased interest in combining the two domains in order to create a new integrated AI and robotics trend. In order to achieve wiser urbanization and more sustainable development, AI in smart cities will play a significant part in equipping the cities with advanced features that will allow residents to safely move about, stroll, shop, and enjoy a more comfortable way of life. If you are a student, researcher, engineer, or professional working in this field, or if you are just curious in the newest advancements in robotics and artificial intelligence for cybersecurity, this book is for you!
Note:
Deep Learning in Robotics for strengthening Industry 4.0.: Opportunities, Challenges and Future Directions -- The Design of a Pheromone-based Robotic Varroa Trap for Beekeeping Applications -- Walk Through Event Stream Processing Architecture, Use Cases and Frameworks Survey -- Artificial Intelligence for Cybersecurity: Recent Advancements, Challenges and Opportunities -- Privacy & Security Concerns in Edge Computing-based Smart Cities -- A Taxonomy of DDoS Defense Mechanism in Software Defined Networking (SDN) -- Developing instrument for investigation of blockchain technology -- An IoT-based system for expert user supporting to monitor, manage and protect Cultural Heritage Buildings -- Commercialising Blockchain in a Smart City: Autonomous Vehicles, Cryptocurrency, and Contract Law -- Finding all shortest meaningful meta-paths between two vertices of a Secured Large Heterogeneous Information Network using distributed algorithm -- Creation of a Dataset Modeling the Behavior of Malware Affecting the Confidentiality of Data Managed by IoT Devices -- Anomaly Detection on Static and Dynamic Graphs using Graph Convolutional Neural Network -- Secure Medical Data sharing through Blockchain and Decentralized Models. .
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030967369
Additional Edition:
Printed edition: ISBN 9783030967383
Additional Edition:
Printed edition: ISBN 9783030967390
Language:
English
Subjects:
Computer Science
DOI:
10.1007/978-3-030-96737-6
URL:
https://doi.org/10.1007/978-3-030-96737-6
URL:
Volltext
(URL des Erstveröffentlichers)
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