IEEE

When Knowledge Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Study

Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
IEEE

Optimising Traffic Flow Through Synchronised Signal Configurations Along Urban Corridors

Abstract: Traffic signal optimisation is crucial for reducing congestion and improving traffic flow, and a large body of work is being devoted to designing and developing corresponding techniques.
IEEE

Discontinuous Dual-Signal PWM for Neutral-Point Voltage Balancing in Three-Level Converters

Abstract: Neutral-point voltage (NPV) imbalance presents a significant challenge in three-level converters, especially under conditions of high modulation index (MI) and low power factor (PF). This ...
IEEE

Quadratic Transform for Fractional Programming in Signal Processing and Machine Learning: A unified approach for solving optimization problems involving ratios

Abstract: Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because ...
IEEE

Control Mode Switching-Enabled Physics- Guided Multiagent Graph Learning for Real-Time AC/DC Power Flow

Abstract: Existing ac/dc power flow computations necessitate sequential convergence-oriented trial-and-error under various dc control modes, rising computational ...
IEEE

Sleep EEG Signal Analysis using Graph Embedding Simplicial Convolutional Recurrent Attention Network with Duck Swarm Algorithm

Abstract: Sleep EEG Analysis (S-EEG-A) records brain activity to categorize sleep stages, identify patterns, and study disorders by frequency and waveform analysis. Sleep EEG signals are hard to ...
IEEE

Chameleon-SAT: An Adaptive Boolean Satisfiability Accelerator Using Mixed-Signal In-Memory Computing for Versatile SAT Problems

Abstract: Boolean satisfiability (SAT), the first proven nondeterministic polynominal-complete problem, is crucial in dataintensive applications. Different applications have a wide spectrum of SAT ...
IEEE

A Radar Signal Open-Set Deinterleaving Method Based on Laplacian Pyramid Reconstruction and Adversarial Reciprocal Point Learning

Abstract: Radar signal deinterleaving is a challenging task in complex electromagnetic environments. This work proposes a method for accurately deinterleaving known and unknown radar radiation sources ...