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; SmartGov 2020 - International Conference on Smart Governance for Sustainable Smart Cities;

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’s 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.