E-raamat: Science and Technologies for Smart Cities: 6th EAI International Conference, SmartCity360(deg), Virtual Event, December 2-4, 2020, Proceedings

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
Articles 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.