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001469858 001__ 1469858
001469858 003__ OCoLC
001469858 005__ 20230803003350.0
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001469858 019__ $$a1384411782
001469858 020__ $$a9783031359828$$q(electronic bk.)
001469858 020__ $$a3031359828$$q(electronic bk.)
001469858 020__ $$z9783031359811
001469858 020__ $$z303135981X
001469858 0247_ $$a10.1007/978-3-031-35982-8$$2doi
001469858 035__ $$aSP(OCoLC)1384457721
001469858 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF
001469858 049__ $$aISEA
001469858 050_4 $$aQA76.583
001469858 08204 $$a005.75/8$$223/eng/20230621
001469858 1112_ $$aInternational Conference on Intelligent Edge Processing in the IoT Era$$n(3rd :$$d2022 :$$cOnline).
001469858 24510 $$aSmart technologies for sustainable and resilient ecosystems :$$b3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, virtual events, November 16-18, 2022, proceedings /$$cSérgio Ivan Lopes, Paula Fraga-Lamas, Tiago M. Fernándes-Camáres, Babu R. Dawadi, Danda B. Rawat, Subarna Shakya, editors.
001469858 24630 $$aEdge-IoT 2022
001469858 24630 $$aSmartGov 2022
001469858 264_1 $$aCham :$$bSpringer,$$c[2023]
001469858 264_4 $$c©2023
001469858 300__ $$a1 online resource (xii, 177 pages) :$$billustrations (chiefly color).
001469858 336__ $$atext$$btxt$$2rdacontent
001469858 337__ $$acomputer$$bc$$2rdamedia
001469858 338__ $$aonline resource$$bcr$$2rdacarrier
001469858 4901_ $$aLecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$$x1867-822X ;$$v510
001469858 500__ $$aConference proceedings.
001469858 500__ $$aIncludes author index.
001469858 5050_ $$aEdge-IoT Applications: A Cost-Effective Thermal Imaging Safety Sensor for Industry 5.0 and Collaborative Robotics -- Edge Computing With Low-Cost Cameras For Object Detection In Smart Farming -- Evaluating Maximum Operating Distance in COTS RFID TAGS for Smart Manufacturing -- IoT Architectures, Forecasting and Adversarial Training: Stock Direction Forecasting Utilizing Technical, Fundamental, and News Sentiment Data -- IoT Architectures for Indoor Radon Management: a Prospective Analysis -- Adversarial Training for Better Robustness -- Artificial Intelligence and Machine Learning for smart governance: Integrating Computer Vision and Crowd Sourcing to Infer Drug Use on Streets: A Case Study with 311 Data in San Francisco -- Machine learning approach to crisis management exercise analysis: A case study in SURE project -- Quantitative Evaluation of Saudi E-government Websites Using a Web Structure Mining Methodology -- Extracting Digital Biomarkers for Unobtrusive Stress State Screening from Multimodal Wearable Data -- Smart Transportation: Continuous Measurement of Air Pollutant Concentrations in a Roadway Tunnel in Southern Italy -- Rating Urban Transport Services Quality Using a Sentiment Analysis Approach.
001469858 506__ $$aAccess limited to authorized users.
001469858 520__ $$aThis book constitutes the jointly proceedings of the 3rd International Conference on Intelligent Edge Processing in the IoT Era, Edge-IoT 2022, and the 4th International Conference on Smart Governance for Sustainable Smart Cities, SmartGov 2022. Both conferences were held online due to COVID-19 pandemic in November 2022, held as virtual events, in November 16-18, 2022. The 12 full papers were selected from 31 submissions. SmartGov 2022 was to promote the development of secure and sustainable smart cities with smart governance, while the theme of Edge-IoT 2022 was to address the decentralization of contemporary processing paradigms, notably Edge processing, focusing on the increasing demand for intelligent processing at the edge of the network, which is paving the way to the Intelligent IoT Era⁰́b+. Both the EAI SmartGov 2022 and EAI Edge-IoT 2022 conferences were co-located with EAI SmartCity360 international convention. The papers are organized in the following topical sections: Edge-IoT Applications; IoT Architectures, Forecasting and Adversarial Training; Artificial Intelligence and Machine Learning for smart governance; and Smart Transportation.
001469858 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 21, 2023).
001469858 650_0 $$aEdge computing$$vCongresses.
001469858 650_0 $$aInternet of things$$vCongresses.
001469858 650_0 $$aSmart cities$$vCongresses.
001469858 655_0 $$aElectronic books.
001469858 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001469858 655_7 $$aConference papers and proceedings.$$2lcgft
001469858 7001_ $$aLopes, Sérgio Ivan,$$eeditor.
001469858 7001_ $$aFraga-Lamas, Paula,$$eeditor.
001469858 7001_ $$aFernándes-Camáres, Tiago M.,$$eeditor.
001469858 7001_ $$aDawadi, Babu R.,$$eeditor.
001469858 7001_ $$aRawat, Danda B.,$$d1977-$$eeditor.
001469858 7001_ $$aShakya, Subarna,$$eeditor.
001469858 7112_ $$aInternational Conference on Smart Governance for Sustainable Smart Cities$$n(4th :$$d2022 :$$cOnline).
001469858 77608 $$iPrint version: $$z303135981X$$z9783031359811$$w(OCoLC)1380389178
001469858 830_0 $$aLecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ;$$v510.$$x1867-822X
001469858 852__ $$bebk
001469858 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-35982-8$$zOnline Access$$91397441.1
001469858 909CO $$ooai:library.usi.edu:1469858$$pGLOBAL_SET
001469858 980__ $$aBIB
001469858 980__ $$aEBOOK
001469858 982__ $$aEbook
001469858 983__ $$aOnline
001469858 994__ $$a92$$bISE