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Research Papers

A Reinforcement Learning-Based PQoS Framework for V2X Networks in NS-3

Research Papers

Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning

Research Papers

Canine Eye Disease Diagnosis: A Hybrid Approach Using YOLOv11 and Autoencoder Models

Research Papers

Supply Chain Anomaly Detection and Prediction Models Based on Large-Scale Time Series Data

Research Papers

Datafication of Climate Change: From Prediction to Participation

Research Papers

Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection

Research Papers

Carbon- and Precedence-Aware Scheduling for Data Processing Clusters

Research Papers

A Market Information Prediction Model Based on the Transformer Architecture

Research Papers

Achieving High-Speed and Robust Encrypted Traffic Anomaly Detection with Programmable Switches

Research Papers

A Comprehensive Survey of Innovative Methodologies in Mobile Ad Hoc Networks (MANET)

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