IEEE

An Equilibrium-Seeking Search Algorithm for Integrating Large-Scale Activity-Based and Traffic Assignment Models

Abstract: This paper proposes an iterative methodology to integrate large-scale behavioral activitybased models with mesoscopic traffic assignment models. The proposed approach fully decouples the two ...
IEEE

Heuristic-Enhanced Mathematical Optimization Algorithms for Channel Assignment and Interference Mitigation

Abstract: This paper addresses the frequency assignment problem in high-throughput geostationary satellite communication (SATCOM) systems, where co-channel interference imposes serious constraints on ...
Frontiers

Infectious disease prediction model based on optimized deep learning algorithm

Since 2019, the world has experienced a major outbreak of infectious disease caused by a novel coronavirus, first identified in Wuhan, Hubei Province, China. Through extensive scientific research and ...
Frontiers

A clinical prediction model for schizophrenia based on machine learning algorithms

Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...