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E-raamat: Computer and Communication Engineering: Third International Conference, CCCE 2023, Stockholm, Sweden, March 10-12, 2023, Revised Selected Papers

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Computer and Communication Engineering: Third International Conference, CCCE 2023, Stockholm, Sweden, March 10-12, 2023, Revised Selected PapersSuurem pilt
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This book constitutes refereed proceedings of the Third International Conference on Computer and Communication Engineering, CCCE 2023, held in Stockholm, Sweden, in March 2023.

The 18 full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: image analysis and method; network model and function analysis of mobile network; system security estimation and analysis of data network; and AI-based system model and algorithm.
Image analysis and method: Enhanced Acoustic Noise Reduction Techniques
for Magnetic Resonance Imaging System.- Rough Rice Grading in the Philippines
Using Infrared Thermography.- An Interpretable Hybrid Recommender Based on
Graph Convolution to Address Serendipity.- Network Model and Function
Analysis of Mobile Network: A Geometry-based Strategic Placement of RISs In
millimeter Wave Device to Device Communication.- Obstacle Aware Link
Selection for Stable Multicast D2D Communications.- Mobility Aware Path
Selection for Millimeterwave 5G Networks in the Presence of Obstacles.- A
Probabilistic Analysis of the Delay in RIS Assisted SISO D2D Communication
using Chernoff's Bounds.- An Empirical Analysis on Lossless Compression
Techniques: Enhancing IoT Security through Deep Learning-based Intrusion
Detection.- A Security and Vulnerability Assessment on Android Gambling
Applications.- A Compliance Based and Security Assessment of Bring Your Own
Device (BYOD) in Organizations.- A Compliance Based and Security Assessment
of Bring Your Own Device (BYOD) in Organizations.- AI -based system model and
algorithm: Application of Machine Learning in Predicting Crime Links on
Specialized Features.- An Empirical Analysis on Lossless Compression
Techniques.- An Analysis of the Performance Changes of the Model by Reducing
the Input Feature Dimension in Stock Price Forecasting.- A Hybrid Algorithm
by Incorporating Neural Network and Metaheuristic Algorithms for Function
Approximation and Demand Prediction Estimation.- Deep QA: An Open-Domain
Dataset of Deep Questions and Comprehensive Answers.- Tropical Cyclone
Analysis and Accumulated Precipitation Predictive Model Using Regression
Machine Learning Algorithm.- Mapping Learning Algorithms on Data, A Promising
Novel Methodology to Compare Learning Algorithms.
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