| Description |
1 online resource (xviii, 279 pages ): illustrations. |
|
text txt rdacontent |
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computer rdamedia |
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online resource rdacarrier |
| Series |
Advances in ubiquitous sensing applications for healthcare ; Volume Six |
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Advances in ubiquitous sensing applications for healthcare ; v. 6.
|
| Bibliography |
Includes bibliographical references and index. |
| Note |
Description based on print version record. |
| Summary |
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. |
| Subject |
Detectors.
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Real-time data processing.
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Temps réel (Informatique)
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Detectors
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Real-time data processing
|
| Genre/Form |
Electronic books.
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| Added Author |
Das, Himansu, editor.
|
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Dey, Nilanjan, editor.
|
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Balas, Valentina Emilia, editor.
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| Other Form: |
ebook version : 9780128182420 |
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Original 9780128180143 0128180145 (OCoLC)1096531110 |
| ISBN |
9780128182420 (electronic bk.) |
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0128182423 (electronic bk.) |
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9780128180143 |
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0128180145 |
| Standard No. |
AU@ 000066097917 |
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AU@ 000066233362 |
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UKMGB 019533521 |
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AU@ 000067093410 |
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AU@ 000068846507 |
|
