000 03619nam a22004335c 4500
988 _aSpringer_Robotics_2020
999 _c115393
_d115393
_x1
001 115393
003 ES-MaUEC
005 20230110040233.0
006 a||||fo|||| 00| 0
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
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
300 _a1 recurso en línea (XIII, 214 páginas)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
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
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b12/2019
_eel
_zSI