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  • 1
    ISBN: 9789819914821
    Language: English
    Pages: 1 Online-Ressource(XIII, 252 p. 128 illus., 105 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1098
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Cloud Computing. ; Wireless communication systems. ; Mobile communication systems.
    Abstract: Detection of Brain Abnormalities from Spontaneous Electroencephalography using Spiking Neural Network -- QoS the enhanced energy Aware task Scheduling Models in cloud computing -- Clinical decision support system for diagnosis and treatment of COPD using ensemble methods -- Test Scenarios Generation and Optimization of Object-oriented Models using Meta-heuristic Algorithms -- Loss Allocation Techniques in Active Power Distribution Systems.
    Abstract: 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 second PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Academic Press | Boston, MA : Safari
    ISBN: 9780128182420
    Language: English
    Pages: 1 online resource (298 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more. Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments
    Note: Online resource; Title from title page (viewed August 31, 2019)
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Academic Press | Boston, MA : Safari
    ISBN: 9780128181478
    Language: English
    Pages: 1 online resource (312 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more
    Note: Online resource; Title from title page (viewed April 15, 2019)
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