| 000 | 02386cam a2200277zu 4500 | ||
|---|---|---|---|
| 001 | 88873390 | ||
| 003 | FRCYB88873390 | ||
| 005 | 20250107232339.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250108s2019 fr | o|||||0|0|||eng d | ||
| 020 | _a9780128167182 | ||
| 035 | _aFRCYB88873390 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
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| 100 | 1 | _aSangaiah, Arun Kumar | |
| 245 | 0 | 1 |
_aDeep Learning and Parallel Computing Environment for Bioengineering Systems _c['Sangaiah, Arun Kumar'] |
| 264 | 1 |
_bElsevier Science _c2019 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
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| 337 |
_bc _2rdamdedia |
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| 338 |
_bc _2rdacarrier |
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| 650 | 0 | _a | |
| 700 | 0 | _aSangaiah, Arun Kumar | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88873390 _qtext/html _a |
| 520 | _aDeep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas.Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problemsIllustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systemsProvides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data | ||
| 999 |
_c72283 _d72283 |
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