| Description |
1 online resource : illustrations (chiefly color) |
| Series |
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-8211 ; 372 |
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Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 372. 1867-8211
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| Contents |
AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities -- IoT and AI for COVID-19 in Scalable Smart Cities -- Automated Segmentation of COVID-19 Lesion from Lung CT Images using U-Net Architecture -- COVID-19 Patient Care: A Content-Based Collaborative Filtering Using Intelligent Recommendation Systems -- A new Blood Pressure prediction approach using PPG sensors : subject specific evaluation over a long-term period -- 5G network Slicing Technology and its Impact on COVID-19: A Comprehensive Survey -- An Empirical Study of Trilateration and Clustering for Indoor Localization and Trend Prediction -- Covid-19 Detection on CT Scans using Local Binary Pattern and Deep Learning -- Security and privacy issues associated with Coronavirus diagnosis and prognosis Approach for the development of a system for COVID-19 preliminary test -- Application of Distributed Generation for Reduction of Power Losses and Voltage Deviation in Electric Distribution System by Using AI Techniques -- Non-Linear Control Applied to a 3d Printed Hand To Beacon or Not?: Speed Based Probabilistic Adaptive Beaconing Approach for Vehicular Ad-Hoc Networks -- Reduce 802.11 Connection Time Using Offloading and Merging of DHCP layer to MAC layer -- Hybrid Machine Learning Model for Traffic Forecasting -- Labeling News Article Subject Using Uncertainty Based Active Learning -- Intelligent Edge Processing in the IoT Era Environment Monitoring Modules with Fire Detection Capability based on IoT Methodology -- NetButler: Voice-Based Edge/Cloud Virtual Assistant for Home Network Management -- Low-cost LoRa-based IoT Edge Device for Indoor Air Quality Management in Schools -- Technologies for Industrial Internet of Things (IIoT): Guidelines for Edge Computing Adoption in the Industry -- Scalable Approximate Computing Techniques for Latency and Bandwidth Constrained IoT Edge -- Collaborative task processing with Internet of Things (IoT) Clusters -- An Energy Sustainable CPS/IoT Ecosystem -- Inference Performance Comparison of Convolutional Neural Networks on Edge Devices -- Cognitive Computing and Cyber Physical Systems A non-intrusive IoT-based real-time alert system for elderly people monitoring -- A Smartphone Application Designed to Detect Obstacles for Pedestrians Safety -- Automatic Generation of Security Requirements for Privacy-Preserving Blockchain-Based Solutions in the Internet of Things -- Assessment of Video Games Players and Teams Behaviour via Sensing and Heterogeneous Data Analysis: Deployment at an eSports Tournament -- A feature-fusion transfer learning method as a basis to support automated smartphone recycling in a circular smart city -- Are Neural Networks Really the Holy Grail? A Comparison of Multivariate Calibration for Low-cost Environmental Sensors -- MOBIUS: Smart Mobility Tracking with Smartphone Sensors -- An Attack-resistant Weighted Least Squares Localization Algorithm Based on RSSI -- Promotion as a Tool of Smart Governance in Cities -- Identity Inclusion: A Digital National Identification for All Computer Vision Assisted Approaches to Detect Street Garbage from Citizen Generated Imagery -- Smart Governance in Urban Mobility Process -- 37 A Framework for GIS-enabled Public Electronic Participation in Municipal Solid Waste Management -- A Crowd-sourced Obstacle Detection and Navigation App for Visually Impaired An ecosystem approach to the design of sensing systems for bicycles Calibration of Low-cost Particulate Matter Sensors with Elastic Weight Consolidation (EWC) as an Incremental Deep Learning Method -- Person-Flow Estimation with Preserving Privacy using Multiple 3D People Counters -- Quality and Reliability Metrics for IoT Systems: A Consolidated View |
| Summary |
This book constitutes the refereed proceedings of the 6th Annual Smart City 360° Summit. Due to COVID-19 pandemic the conference was held virtually. The volume combines selected papers of seven conferences, namely AISCOVID 2020 - International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities; EdgeIoT 2020 - International Conference on Intelligent Edge Processing in the IoT Era; IC4S 2020 - International Conference on Cognitive Computing and Cyber Physical Systems; CiCom 2020 - International Conference on Computational Intelligence and Communications; S-Cube 2020 - International Conference on Sensor Systems and Software; SmartGov 2020 - International Conference on Smart Governance for Sustainable Smart Cities; and finnally, the Urb-IOT 2020 -International Conference on IoT in Urban Space |
| Notes |
International conference proceedings |
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Includes author index |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed June 2, 2021) |
| Subject |
Smart cities -- Congresses
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Artificial intelligence -- Congresses
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Internet of things -- Congresses
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Artificial intelligence
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Internet of things
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Smart cities
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Paiva, Sara, 1979- editor.
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Lopes, Sérgio Ivan, editor
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Zitouni, Rafik, editor
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Gupta, Nishu, editor.
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Lopes, Sérgio F., editor
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Yonezawa, Takuro, editor
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| ISBN |
9783030760632 |
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3030760634 |
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9783030760649 |
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3030760642 |
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