| 000 | 07873nam a22004455i 4500 | ||
|---|---|---|---|
| 999 |
_c361610 _d361610 _x1 |
||
| 001 | 361610 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240111050213.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 210626s2021 sz | o |||| 0|eng d | ||
| 020 | _a9783030791575 | ||
| 024 | 7 |
_a10.1007/978-3-030-79157-5 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQ334 2021 _bEB |
|
| 245 | 1 | 0 |
_aArtificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops _b5G-PINE 2021, AI-BIO 2021, DAAI 2021, DARE 2021, EEAI 2021, and MHDW 2021, Hersonissos, Crete, Greece, June 25-27, 2021, Proceedings _cedited by Ilias Maglogiannis, John Macintyre, Lazaros Iliadis. |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2021 |
|
| 300 |
_a1 recurso en línea (XVI, 499 páginas) _b147 ilustraciones, 126 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aIFIP Advances in Information and Communication Technology _x1868-422X _v628 |
|
| 490 | 0 | _aComputer Science (SpringerNature-11645) | |
| 490 | 0 | _aComputer Science (R0) (SpringerNature-43710) | |
| 505 | 0 | _a6th Workshop on "5G - Putting Intelligence to the Network Edge" (5G-PINE 2021) -- 5G Communications as "Enabler" for Smart Power Grids: The Case of the Smart5Grid Project -- 5G-VICTORI: Future Railway Communications Requirements Driving 5G Deployments in Railways -- 5G-VICTORI: Optimizing Media Streaming in Mobile Environments using mmWave, NBMP and 5G Edge Computing -- A Novel Architectural Approach for the Provision of Scalable and Automated Network Slice Management, in 5G and Beyond -- A prototype 5G/IoT implementation for transforming a legacy facility to a Smart Factory -- Advanced first responders' services by using FASTER project Architectural Solution -- High mobility 5G services for vertical industries - network operator's view -- Machine Learning-Based, Networking and Computing Infrastructure Resource Management -- Power Control in 5G Heterogeneous Cells considering User Demands using Deep Reinforcement Learning -- The Challenge of Security Breaches in the Era of 5G Networking -- Top Challenges in 5G Densification -- TYPHON: Hybrid Data Lakes for Real-time Big Data Analytics - An Evaluation Framework in the Telecom Industry -- V2X Communications for the Support of GLOSA and Intelligent Intersection Applications -- Artificial Intelligence in Biomedical Engineering and Informatics Workshop (AI-BIO 2021) -- A Machine Learning Approach for Recognition of Elders' Activities using Passive Sensors -- Analyzing Collective Knowledge towards Public Health Policy Making -- Evaluating mental patients utilizing video analysis of facial expressions -- An inception-based architecture for haemodialysis time series classification -- Workshop on Defense Applications of AI (DAAI 2021) -- A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks -- A Multimodal AI-leveraged Counter-UAV Framework for Diverse Environments -- Cyber attack detection and trust management toolkit for defence-related microgrids -- On the potential of SDN enabled network deployment in tactical environments -- Distributed AI for Resource - Constrained Platforms Workshop (DARE 2021) -- A first sensitivity study of multi-object multi-camera tracking performance -- An Initial Analysis of the Shortcomings of Conventional AI and the Benefits of Distributed AI Approaches in Industrial Use Cases -- Distributed data compression for edge devices -- PFilter: Privacy-aware and secure data filtering at the edge for distributed edge analytics -- Towards a Distributed Learning Architecture for Securing ISP Home Customers -- Energy Efficiency and Artificial Intelligence Workshop (ΕΕΑΙ 2021) -- A Recommendation Specific Human Activity Recognition Dataset with Mobile Device's Sensor Data -- Explainable needn't be (much) less accurate: evaluating an explainable AI dashboard for energy forecasting -- Improving Energy Efficiency in Tertiary Buildings through user-driven Recommendations delivered on optimal Micro-moments -- Semantic modeling of trustworthy IoT entities in energy-efficient cultural spaces -- Short Term Net Imbalance Volume Forecasting through Machine and Deep Learning: A UK case study -- 10th Mining Humanistic Data Workshop (MHDW 2021) -- Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks -- Forecasting Air Flight Delays and Enabling Smart Airport Services in Apache Spark -- Movie Recommendation System based on Character Graph Embeddings -- Privacy-Preserving Text Labelling Through Crowdsourcing -- Recognition of epidemic cases in social web texts -- Active Bagging Ensemble Selection -- Applying Machine Learning to Predict Whether Learners will Start a MOOC after Initial Registration -- Self-supervised approach for Urban Tree Recognition on Aerial Images -- Visitor behavior analysis for an ancient Greek technology exhibition. | |
| 520 | 3 | _aThis book constitutes the refereed proceedings of six International Workshops held as parallel events of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, virtually and in Hersonissos, Crete, Greece, in June 2021: the 6th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2021; Artificial Intelligence in Biomedical Engineering and Informatics Workshop, AI-BIO 2021; Workshop on Defense Applications of AI, DAAI 2021; Distributed AI for Resource-Constrained Platforms Workshop, DARE 2021; Energy Efficiency and Artificial Intelligence Workshop, EEAI 2021; and the 10th Mining Humanistic Data Workshop, MHDW 2021. The 24 full papers and 16 short papers presented at these workshops were carefully reviewed and selected from 72 submissions. The papers presented at 5G-PINE focus on the latest AI applications in the telecommunication industry and AI in modern 5G-oriented telecommunications infrastructures. The papers chosen for AI-BIO 2021 present research on the subject of AI, in its broadest sense, in biomedical engineering and health informatics. The DAAI 2021 papers aim at presenting recent evolutions in artificial intelligence applicable to defense and security applications. The papers selected for DARE 2021 address a variety of pertinent and challenging topics within the scope of distributed AI for resource-constrained platforms. The papers presented at EEAI 2021 aim to bring together interdisciplinary approaches that focus on the application of AI-driven solutions for increasing and improving energy efficiency of residential and tertiary buildings and of occupant behavior. The MHDW papers focus on topics such as recommendation systems, sentiment analysis, pattern recognition, data mining, and time series. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aInteligencia artificial _9413115 |
|
| 700 | 1 |
_aMaglogiannis, Ilias _eeditor literario _0(orcid)0000-0003-2860-399X _1https://orcid.org/0000-0003-2860-399X _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aMacintyre, John _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aIliadis, Lazaros _eeditor literario _0(orcid)0000-0002-6404-1528 _1https://orcid.org/0000-0002-6404-1528 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030791568 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030791582 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030791599 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-79157-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b01/2022 _dz _eh _zSI |
||