Future Trends of AI-based Smart Systems and Services: Challenges, Opportunities, and Solutions
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초록
Smart systems and services aim to facilitate growing urban populations and their prospects of virtual-real socialbehaviors, gig economies, factory automation, knowledge-based workforce, integrated societies, modern living,among many more. To satisfy these objectives, smart systems and services must comprises of a complex set offeatures such as security, ease of use and user friendliness, manageability, scalability, adaptivity, intelligentbehavior, and personalization. Recently, artificial intelligence (AI) is realized as a data-driven technology toprovide an efficient knowledge representation, semantic modeling, and can support a cognitive behavior aspectof the system. In this paper, an integration of AI with the smart systems and services is presented to mitigatethe existing challenges. Several novel researches work in terms of frameworks, architectures, paradigms, andalgorithms are discussed to provide possible solutions against the existing challenges in the AI-based smartsystems and services. Such novel research works involve efficient shape image retrieval, speech signalprocessing, dynamic thermal rating, advanced persistent threat tactics, user authentication, and so on.
Abstract
Smart systems and services aim to facilitate growing urban populations and their prospects of virtual-real socialbehaviors, gig economies, factory automation, knowledge-based workforce, integrated societies, modern living,among many more. To satisfy these objectives, smart systems and services must comprises of a complex set offeatures such as security, ease of use and user friendliness, manageability, scalability, adaptivity, intelligentbehavior, and personalization. Recently, artificial intelligence (AI) is realized as a data-driven technology toprovide an efficient knowledge representation, semantic modeling, and can support a cognitive behavior aspectof the system. In this paper, an integration of AI with the smart systems and services is presented to mitigatethe existing challenges. Several novel researches work in terms of frameworks, architectures, paradigms, andalgorithms are discussed to provide possible solutions against the existing challenges in the AI-based smartsystems and services. Such novel research works involve efficient shape image retrieval, speech signalprocessing, dynamic thermal rating, advanced persistent threat tactics, user authentication, and so on.
참고문헌 (18)
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