Machine Learning and Intelligent Communication

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Machine Learning and Intelligent Communication, MLICOM 2023, which was held in Beijing, China, during December 17, 2023.

The 18 full papers were carefully reviewed and selected from 44 submissions. They were categorized under the topical sections as follows: Machine Learning and Information Processing, Intelligent Communications Technology, Emerging Artificial Intelligence Application.

Inhalt

Machine Learning and Information Processing.- Learning Consistent Embedding Distribution for Robust ASR.- Automatic Modulation Classification with Multi domain Feature Fusion.- Research on Garbage Classification Algorithm Based on Machine Learning.- PCB Large Color Variation Image Registration with Local Optimization LoFTR.- SAR Image Compression Based on Low frequency Suppression and Target Perception.- Intelligent Communications Technology.- Self guided Few shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models.- Generating a personalised sensor data generation system for the fusion of adversarial networks and behavioural matter of fact mapping.- Class Specific Noise Injection for Improved Road Segmentation.- SAR Moving Target Segmentation and Removal Based on Deep Learning.- Event Sequence driven Generalized and Accurate End to end Streaming Latency Measurement.- GPT4D Automatic Cross Version Linux Driver Upgrade Toolkit.- Local to global Point Supervised Object Detector via Aggregation of Discriminative Parts.- Emerging Artificial Intelligence Application.- Leveraging Large Language Model to Generate Multi modal Timeline Summarization.- CancersQA Federated Learning with Pre trained Models for Intelligent Medical Diagnosis.- Measuring Contour Similarity Based on improved Hausdoff distance for the Automatic Conjugation of Irregular Fragments of Ancient Manuscripts.- Research on Fund News Classification Method Based on Multi level Model Fusion.- A Study on the readability of Chinese text from a rhetorical perspective.- Application of Convolutional Neural Networks in Detecting Cropping Intensity An Attempt based on Global Typical Samples.