Tech Xplore

Why reinforcement learning breaks at scale, and how a new method fixes it

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
GitHub

DeepCOI: a Large Language Model-Driven Framework for Fast and Accurate Taxonomic Assignment in Animal Metabarcoding

This repository includes the implementation and experimental data of 'DeepCOI: a Large Language Model-Driven Framework for Fast and Accurate Taxonomic Assignment in Animal Metabarcoding'. Please cite ...
Frontiers

Personalized recommendation algorithm for rehabilitation intervention in children with autism spectrum disorder based on the cognitive diagnosis model

Aim: This study applied the Cognitive Diagnostic Model (CDM) to develop a personalized recommendation algorithm for rehabilitation intervention in children and adolescents with autism spectrum ...
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 ...
IEEE

Entropy and Mobility-Based Model Assignment for Multi-Model Vehicular Federated Learning

Abstract: Machine Learning (ML) is extensively employed for key functions of Connected and Autonomous Vehicles (CAVs), where many models are executed simultaneously within a vehicle to provide diverse ...