IEEE

Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms

Abstract: Urban traffic congestion remains a critical challenge for smart city development, necessitating innovative approaches to improve traffic flow and reduce delays. This study presents a novel ...
IEEE

Temporal Attention-Based Interactive Dynamic Graph Convolutional Network For Traffic Flow Prediction

Abstract: Accurate traffic flow prediction is crucial for mitigating road congestion. While previous studies have developed successful models for predicting future traffic flow, most of them lack ...
IEEE

Fair and Skill-Diverse Student Group Formation: A graph-theoretic approach [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective]

Abstract: In modern education, collaborative learning plays a crucial role in fostering problem-solving skills and innovation. However, traditional student group formation methods, such as random ...
IEEE

Mitigation of Hardware Impairments for mmWave FMCW Radar Using Signal Flow-Inspired Neural Networks

Abstract: This work deals with the impact of hardware impairments on the target detection capabilities of mmWave frequency-modulated continuous-wave (FMCW) radars. We establish a model of radar echoes ...
IEEE

A Radar Signal Sorting Method Based on the Graph Neural Network Combined with GCN and GAT

Abstract: The electromagnetic environment of modern battlefields is becoming increasingly complex, leading to sever spatial overlap in the feature distribution of radar signal parameters, which in ...
IEEE

Real-Time Scheduling for Energy-Efficient Distributed Hybrid Flow-Shop With Evolution Strategies-Based Multiple Graph Neural Networks

Abstract: As artificial intelligence is widely used for solving complex engineering optimization problems, various deep learning (DL) and reinforcement learning (RL) methods have been developed for ...
IEEE

Versatile Converter Impedance Modeling with Matrix Signal Flow Graphs to Include Frequency Coupling

Abstract: The behavior of grid-connected converters is defined by their control systems over a wide frequency band. Understanding the impact of the control design on the converter output impedance is ...
IEEE

Improved Diffusion Recursive Least Squares for Graph Signal Estimation on Distributed Network

Abstract: Streaming graph signal (GS) estimation is common in various network systems. Several graph filter algorithms have been proposed for streaming GS estimation, but they still fail to reach ...
IEEE

Graph-Based Representation of Verilog HDL: Python-Based Control and Data Flow Graph Generation

Abstract: This paper proposes an automatic framework for controlled data flow graph (CDFG) generation from verilog designs, where the generated CDFGs can be applied to visualization, formal ...
IEEE

An Implementation of Routing in Wireless Mesh Networks Using the Maximum Flow Problem

Abstract: As sensor nodes that constitute a wireless sensor network are battery-powered, it is essential to extend their life. Wireless mesh network, one type of wireless sensor network, require ...
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Learn how to find if a point is on a graph using standard form of a quadratic

👉 Learn how to write the equation of a parabola given three points. The equation of a parabola is of the form f(x) = ax^2 + bx + c, where a, b, and c are constants. Since the equation of a parabola ...