Buch, Englisch, Band 1823, 233 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 382 g
Third International Conference, CCCE 2023, Stockholm, Sweden, March 10-12, 2023, Revised Selected Papers
Buch, Englisch, Band 1823, 233 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 382 g
Reihe: Communications in Computer and Information Science
ISBN: 978-3-031-35298-0
Verlag: Springer Nature Switzerland
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
