Advances in AI for Cloud, Edge, and Mobile Computing Applications (eBook, ePUB)
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This new book presents some exciting advances in AI applications, highlighting trends and innovations in edge, cloud, and mobile computing and how they can be integrated with advanced AI for enhancing services, privacy, and security. It explores algorithms, architectures, reliable AI-powered IoTs, and other aspects in networking and applications in diverse frontier areas. These state-of-the-art technologies have a comparative advantage in terms of very low latency, fast response time, low bandwidth cost, and improved resilience.First focusing on advanced cloud AI services, the authors look at ...
This new book presents some exciting advances in AI applications, highlighting trends and innovations in edge, cloud, and mobile computing and how they can be integrated with advanced AI for enhancing services, privacy, and security. It explores algorithms, architectures, reliable AI-powered IoTs, and other aspects in networking and applications in diverse frontier areas. These state-of-the-art technologies have a comparative advantage in terms of very low latency, fast response time, low bandwidth cost, and improved resilience.
First focusing on advanced cloud AI services, the authors look at a power trading framework of cloud-edge computing in an AI bazaar, the use of anomaly detection in AI in a cloud-fuzzy environment, holistic resource management based on AI and sustainable cloud computing, the application of AI for enhanced privacy and security in smart environments, AI in wireless sensor networks, and more. The volume also presents advances in state-of-the-art edge AI services, along with problems that may be confronted during the application and execution of computing services. The chapters discuss AI applications together with cloud, edge, and mobile computing that serve the areas of e-commerce and commercial banking, while making use of AI for sustainable human resource management and natural resource management.
First focusing on advanced cloud AI services, the authors look at a power trading framework of cloud-edge computing in an AI bazaar, the use of anomaly detection in AI in a cloud-fuzzy environment, holistic resource management based on AI and sustainable cloud computing, the application of AI for enhanced privacy and security in smart environments, AI in wireless sensor networks, and more. The volume also presents advances in state-of-the-art edge AI services, along with problems that may be confronted during the application and execution of computing services. The chapters discuss AI applications together with cloud, edge, and mobile computing that serve the areas of e-commerce and commercial banking, while making use of AI for sustainable human resource management and natural resource management.
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