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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.

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

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.