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.

“Machine Learning and Intelligent Communications provides a deep dive into the latest advancements in AI and its applications in communication technologies. … it offers valuable insights for researchers and professionals looking to explore AI’s role in improving communication systems. Expanding the focus to include emerging trends and industry applications would enhance its appeal and utility, making it a more well-rounded resource for the field.” (Nithin Reddy Desani, New York Weekly, nyweekly.com, October 3, 2024)