| 000 | 03619nam a22004335c 4500 | ||
|---|---|---|---|
| 988 | _aSpringer_Robotics_2020 | ||
| 999 |
_c115393 _d115393 _x1 |
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| 001 | 115393 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230110040233.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 190730s2020 gw a o |||| 0|eng d | ||
| 020 | _a9783030244057 | ||
| 024 | 7 |
_a10.1007/978-3-030-24405-7 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.9 .B45 _b2020 EB |
|
| 245 | 0 | 0 |
_aBig data, cloud computing, and data science engineering _cedited by Roger Lee |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2020 |
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| 300 | _a1 recurso en línea (XIII, 214 páginas) | ||
| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
||
| 490 | 0 |
_aStudies in Computational Intelligence _x1860-949X _v844 |
|
| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aRobust Optimization Model for Designing Emerging Cloud-Fog Networks -- Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks -- Learning Neural Circuit by AC Operation and Frequency Signal Output -- IoTDoc: A Docker-Container based Architecture of IoT-enabled cloud system -- A Survival Analysis-Based Prioritization of Code CheckerWarning: A Case Study using PMD -- Elevator Monitoring System to Guide User's Behavior by Visualizing the State 0f Crowdedness -- Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models -- Norm-referenced Criteria for Strength of the Upper limbs for the Korean High School Baseball Players Using Computer Assisted Isokinetic Equipment -- A Feature Point Extraction and Comparison Method through Representative Frame Extraction and Distortion Correction for 360 Degree Realistic Contents -- Dimension Reduction by Word Clustering with Semantic Distance -- Word-Emotion Lexicon for Myanmar Language -- Release from the Curse of High Dimensional Data Analysis -- Evaluation of Inertial Sensor Configurations for Wearable Gait Analysis -- Index. | |
| 520 | 3 | _aThis edited book presents the scientific outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2019) which was held on May 29-31, 2019 in Honolulu, Hawaii. The aim of the conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Presenting 15 of the conference's most promising papers, the book discusses all aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them. | |
| 650 | 7 |
_2embne _9495511 _aDatos masivos |
|
| 650 | 7 |
_2embne _aInformática en la nube _9666069 |
|
| 650 | 7 |
_2embne _aIngeniería del software _9152630 |
|
| 700 | 1 |
_aLee, Roger _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _936024 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030244040 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030244064 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030244071 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-24405-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI |
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