Smart Technologies for Sustainable and Resilient Ecosystems
Springer International Publishing (Verlag)
978-3-031-35981-1 (ISBN)
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 Era". 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.
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.
| Erscheinungsdatum | 20.06.2023 |
|---|---|
| Reihe/Serie | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Zusatzinfo | XII, 177 p. 71 illus., 62 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 298 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Betriebssysteme / Server |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Schlagworte | Ambient Intelligence • architecture types • Artificial Intelligence • Computer Hardware • Computer Science • Computer systems • Data Mining • Human Computer Interaction • internet of things • sensors • smart cities • Smart environment • software architecture • Software Design • Software engineering • Telecommunication networks • Telecommunication Systems • ubiquitous computing • User Interfaces |
| ISBN-10 | 3-031-35981-X / 303135981X |
| ISBN-13 | 978-3-031-35981-1 / 9783031359811 |
| Zustand | Neuware |
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