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Title Intelligent Multimedia Signal Processing For Smart Ecosystems
ID_Doc 32450
Authors Parah S.A.; Hurrah N.N.; Khan E.
Year 2023
Published Intelligent Multimedia Signal Processing for Smart Ecosystems
DOI http://dx.doi.org/10.1007/978-3-031-34873-0
Abstract A smart ecosystem is envisioned to exchange and analyze data across systems, enabling a flexible, faster, and reliable smart ecosystem for high-quality results at reduced costs and little human intervention. This book introduces many innovative approaches and provides solutions to various problems of smart ecosystems designed by employing various techniques/models based on AI, ML, Deep Learning, and the Internet of Things (IoT). The main focus is on intelligent multimedia processing and automated decision-making for various services, real-time data analysis, data security, cost-effective solutions for multimedia applications, smart information processing systems, and smart city planning to name a few. In addition, this book presents some key insights and future directions in the various areas of technology. Throughout the book, many state-of-the-art solutions concerning various applications are proposed to solve the issues and ensure the quality of services (QoS). The authors discuss the limitations of the current techniques used to design a smart ecosystem and highlight some prospective areas of research in the future. The book comprehensively discusses multimedia processing of various forms of data comprising text, images, and audio for the implementation of various solutions. The book is aimed to open many areas of research and thus would present a comprehensive reference for the design of smart ecosystems in various applications. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023, corrected publication 2023. All rights reserved.
Author Keywords Artificial intelligence; Big data analytics; Blockchain technology; Character recognition; Cloud computing; Cryptography; Cyber security; Data protection; Disease detection; Industry 4.0; Internet of things; Machine learning; Mathematical modelling of pandemics; Medical image processing; Smart city; Smart ecosystems; Smart healthcare; Smart transportation; Speech processing


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