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| 008 | 220323s2022 sz a s |1|| 0|eng d | ||
| 020 | _a9783030992033 | ||
| 024 | 7 |
_a10.1007/978-3-030-99203-3 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.59 _b2022 EB |
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| 245 | 0 | 0 |
_aMobile Computing, Applications, and Services : _b12th EAI International Conference, MobiCASE 2021, Virtual Event, November 13-14, 2021, Proceedings _cedited by Shuiguang Deng, Albert Zomaya, Ning Li |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2022 |
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| 300 |
_a1 recurso en línea (XI, 145 páginas) _b38 ilustraciones, 25 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aLecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering _x1867-822X _v434 |
|
| 505 | 0 | _aMobile Application and Deep Learning -- YOLO-RFB: An improved traffic sign detection model -- Privacy-Preserving Sharing of Mobile Sensor Data -- Service performance analysis of cloud computing server by queuing system -- CLES: A Universal Wrench for Embedded Systems Communication and Coordination -- When Neural Networks Using Different Sensors Create Similar Features -- Mobile Application with Data Analysis -- Improving Togetherness Using Structural Entropy -- Blockchain-based Group Key Agreement -- Attacking community detector: a way to mislead detector via manipulating the graph structure -- ResNet-like CNN Architecture and Saliency Map for Human Activity Recognition. | |
| 520 | _aThis book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually. The 9 full papers were carefully reviewed and selected from 21 submissions. The papers are organized in two topical tracks: mobile application and deep learning, and mobile application with data analysis. | ||
| 988 | _aSpringer_Computer_2022 | ||
| 650 | 7 |
_2embne _9476230 _aInformática móvil _vCongresos y asambleas |
|
| 650 | 7 |
_2embne _9166090 _aAprendizaje automático _vCongresos y asambleas |
|
| 650 | 7 |
_2embne _9518258 _aAplicaciones para móviles _vCongresos y asambleas |
|
| 700 | 1 |
_aDeng, Shuiguang _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aZomaya, Albert _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aLi, Ning _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030992026 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030992040 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-99203-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b10/2022 _dz _esc _zSI |
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