Machine Learning and Intelligent Communication

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.