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E-raamat: Computer and Communication Engineering: 2nd International Conference, CCCE 2022, Rome, Italy, March 11-13, 2022, Revised Selected Papers

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This book constitutes refereed proceedings of the 2nd International Conference on Computer and Communication Engineering, CCCE 2022, held in Rome, Italy, March 11–13, 2022.

The 9 full papers and 8 short papers presented in this volume were carefully reviewed and selected from a total of 36 submissions. The papers in the volume are organised according to the following topical headings: information science and mobile communication; computer and electronic engineering.
Information Science and Mobile Communication.- Towards Intelligent
Management of Internet of Modern Drones.- Ordering Algorithm as a Support
for Children with ADHD through the Development of Bilingual and Interactive
Videogames.- Detection of lateral road obstacles based on the Haar
Cascade classification method in video surveillance.- Industrial IoT
Solution for Powering Smart Manufacturing Production Lines.- Mobile
Network Operators cost efficient 5G deployment with Hyperscalers
co-investment in Public Cloud.- Overview of Information System Testing
Technology under the Cloud + Microservices Mode.- Image Denoising using
A Deep Auto-encoder Approach based on Beetle Antennae Search Algorithm.-
Diversity Technology Research in Wireless Communication Systems.- Study
on Solving Algorithm of T Matrix Eigenvalues based on C Programming
Language.- Computer and Electronic Engineering.- Federated Offline
Reinforcement Learning for Autonomous Systems.- A New Smart Controller
Model using Feedback and Feedforward for Three Phase Inverter.- Adaptive
Design Space Reconstruction Method in Surrogate based Global Optimization.-
Research on Vibration Phase Measurement Technology Based on Laser
Interference Waveform Demodulation.- An Accurate Algorithm for
Calibration-free Wavelength Modulation Spectroscopy Based on Even-order
Harmonics.- A Hierarchical Multi-Objective Programming Approach to
Planning Locations for Macro and Micro Fire Stations.- Utilization of
Machine Learning Algorithm to Determine Factors Affecting Response to
Action among Filipinos Toward the 2020 Taal Volcano.