Smart technologies for sustainable and resilient ecosystems : 3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, virtual events, November 16-18, 2022, proceedings / Sérgio Ivan Lopes, Paula Fraga-Lamas, Tiago M. Fernándes-Camáres, Babu R. Dawadi, Danda B. Rawat, Subarna Shakya, editors.
International Conference on Intelligent Edge Processing in the IoT Era (3rd : 2022 : Online).; Lopes, Sérgio Ivan, editor.; Fraga-Lamas, Paula, editor.; Fernándes-Camáres, Tiago M., editor.; Dawadi, Babu R., editor.; Rawat, Danda B., 1977- editor.; Shakya, Subarna, editor.; International Conference on Smart Governance for Sustainable Smart Cities (4th : 2022 : Online).
2023
QA76.583
Available Online

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Title Smart technologies for sustainable and resilient ecosystems : 3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, virtual events, November 16-18, 2022, proceedings / Sérgio Ivan Lopes, Paula Fraga-Lamas, Tiago M. Fernándes-Camáres, Babu R. Dawadi, Danda B. Rawat, Subarna Shakya, editors.
Meeting Name International Conference on Intelligent Edge Processing in the IoT Era (3rd : 2022 : Online).
ISBN 9783031359828 (electronic bk.)
3031359828 (electronic bk.)
9783031359811
303135981X
DOI https://doi.org/10.1007/978-3-031-35982-8
Published Cham : Springer, [2023]
Copyright ©2023
Language English
Description 1 online resource (xii, 177 pages) : illustrations (chiefly color).
Other Standard Identifiers 10.1007/978-3-031-35982-8 doi
Call Number QA76.583
Dewey Decimal Classification 005.75/8
Summary This 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.
Note Conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 21, 2023).
Added Author Lopes, Sérgio Ivan, editor.
Fraga-Lamas, Paula, editor.
Fernándes-Camáres, Tiago M., editor.
Dawadi, Babu R., editor.
Rawat, Danda B., 1977- editor.
Shakya, Subarna, editor.
Added Meeting Name International Conference on Smart Governance for Sustainable Smart Cities (4th : 2022 : Online).
Series Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 510. 1867-822X
Available in Other Form Print version: 9783031359811
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Edge-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.

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