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020 _a9783030397463
024 7 _a10.1007/978-3-030-39746-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
041 0 _aeng
050 4 _aQA76.76.I58
_b2020 EB
245 0 0 _aAdvances in Internet, Data and Web Technologies
_bThe 8th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2020)
_cedited by Leonard Barolli, Yoshihiro Okada, Flora Amato
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing :
_bImprint Springer
_c2020
300 _a1 recurso en línea (XXVI, 576 páginas)
_b345 ilustraciones, 235 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aLecture Notes on Data Engineering and Communications Technologies
_x2367-4512
_v47
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aJudging Students' Learning Style from Big Video Data Using Neural Network -- A Multi-Modal Interface for Control of Omnidirectional Video Playing on Head Mount Display -- A Fuzzy-based System for Actor Node Selection in WSANs Considering Task Accomplishment Time as a New Parameter -- Performance Evaluation of WMN-PSODGA Hybrid Simulation System for Node Placement -- Evaluation of Parallel Data Transmission in the Mobile Fog Computing Model -- Cognitive Approaches for Sensor Data Analysis in Transformative Computing -- Development and Evaluation of Road State Information Platform based on Various Environmental Sensors in Snow Countries -- Design of a DSL for Converting Rust Programming Language into RTL -- Blockchain for IoT-Based Digital Supply Chain: A Survey. .
520 3 _aThis book presents original contributions on the theories and practices of emerging Internet, data and web technologies and their applicability in businesses, engineering and academia. The Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among them, data and web technologies are two most prominent paradigms, and manifest in a variety of forms such as data centers, cloud computing, mobile cloud, mobile web services and so on. Together, these technologies form a digital ecosystem based on the data cycle, from capturing to processing, analysis and visualization. The investigation of various research and development issues in this digital ecosystem is made all the more important by the ever-increasing needs of real-life applications, which involve storing and processing large amounts of data. As a key feature, the book addresses advances in the life-cycle exploitation of data generated from the digital ecosystem, and data technologies that create value for businesses, moving toward a collective intelligence approach. Given its scope, the book offers a valuable reference guide for researchers, software developers, practitioners and students interested in the field of data and web technologies. .
988 _aPrimersemestre_2020_Robotics
650 7 _2embne
_aAgentes inteligentes (Programas de ordenador)
_vCongresos y asambleas
_9160930
650 7 _2embne
_aInteligencia artificial
_vCongresos y asambleas
_9413115
700 1 _aBarolli, Leonard
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9100041
700 1 _aOkada, Yoshihiro.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAmato, Flora.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030397456
776 0 8 _iPrinted edition:
_z9783030397470
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-39746-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2020
_dz
_eb
_zSI