| 000 | 03620nam a22004215i 4500 | ||
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| 988 | _aSpringer_Engineering_2020 | ||
| 999 |
_c116848 _d116848 _x1 |
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| 001 | 116848 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230104140216.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 190812s2020 gw | s |||| 0|eng d | ||
| 020 | _a9783030283643 | ||
| 024 | 7 |
_a10.1007/978-3-030-28364-3 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.59 _b2020 EB |
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| 245 | 0 | 0 |
_aIntelligent Communication Technologies and Virtual Mobile Networks : _bICICV 2019 _cedited by S. Balaji, Álvaro Rocha, Yi-Nan Chung. |
| 250 | _a1st ed. 2020. | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2020. |
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| 300 |
_a1 recurso en línea (XVIII, 669 páginas) _b414 ilustraciones, 277 ilustraciones a color |
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| 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 |
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| 490 | 0 |
_aLecture Notes on Data Engineering and Communications Technologies _x2367-4512 _v33 |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 505 | 0 | _aCluster Restructuring and Compressive Data Gathering for Transmission Efficient Wireless Sensor Network -- A Review on Infrared and Visible Image Fusion Techniques -- Condition Monitoring of Coal Mine Using Ensemble Boosted Tree Regression Model -- A Study of Biology-based Congestion Control Algorithms for Wireless Sensor Network -- A comparison of GFDM and OFDM at Same and Different Spectral Efficiency Condition -- An Extensive Survey on Recent Machine Learning Algorithms for Diabetes Mellitus Prediction -- Cab Service Communication in Transportation Classification Techniques -- Facial Analysis Using Deep Learning -- Various Face Annotation Techniques: Survey. | |
| 520 | _aThis book presents the outcomes of the Intelligent Communication Technologies and Virtual Mobile Networks Conference (ICICV 2019) held in Tirunelveli, India, on February 14-15, 2019. It presents the state of the art in the field, identifying emerging research topics and communication technologies and defining the future of intelligent communication approaches and virtual computing. In light of the tremendous growth ICT, it examines the rapid developments in virtual reality in communication technology and high-quality services in mobile networks, including the integration of virtual mobile computing and communication technologies, which permits new technologies based on the resources and services of computational intelligence, big data analytics, Internet of Things (IoT), 5G technology, automation systems, sensor networks, augmented reality, data mining, and vehicular ad hoc networks with massive cloud-based backend. These services have a significant impact on all areas of daily life, like transportation, e-commerce, health care, secure communication, location detection, smart home, smart city, social networks and many more. | ||
| 650 | 7 |
_2embne _aInformática móvil _9476230 |
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| 700 | 1 |
_aBalaji, S _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aRocha, Álvaro _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _997958 |
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| 700 | 1 |
_aChung, Yi-Nan _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030283636 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030283650 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-28364-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_aSI _cm _dz _feng _ggw _h0 _b01/2020 _eIG _zSI |
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