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  • Intelligent Technologies

    Concept, Applications, and Future Directions, Volume 5

    Collections series Intelligent Technologies and Robotics (R0)
    This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at fifth PhD Research Symposium in ... En savoir plus

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    Collections series Intelligent Technologies and Robotics (R0)
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  • Applied Intelligent Decision Making in Machine Learning

    Collections series Computational Intelligence in Engineering Problem Solving
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  • Automated Software Testing

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    Collections series Intelligent Technologies and Robotics (R0)
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  • Real-Time Data Analytics for Large Scale Sensor Data

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  • Deep Learning for Data Analytics

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    Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts ... En savoir plus

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  • Intelligent Technologies

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    The book focuses to foster new and original research ideas and results in three broad areas: computing, analytics, and networking with its prospective applications in the various interdisciplinary domains of engineering. This is an exciting and emerging interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging ... En savoir plus

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  • Cloud Computing for Geospatial Big Data Analytics

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    This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these ... En savoir plus

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