IEEE

Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
IEEE

A Feature-Based Learning Differential Evolution Algorithm for the Flexible Job-Shop Scheduling With Occupational Repetitive Actions Index

Abstract: Learning differential evolution (DE) algorithms are widely adopted to address flexible job-shop scheduling problems (FJSPs) because of the optimization ability. However, traditional learning ...
IEEE

Enhanced Two-Stage Sparse Bayesian Learning Algorithm for Multi-Vehicle Precise Detection and Localization with MIMO-FMCW Radar

Abstract: Accurate identification and positioning of multiple vehicles is a critical challenge in autonomous driving, particularly over long distances. While sparse Bayesian learning (SBL) methods ...
IEEE

Personalized federated learning algorithm based on composite feature extractor

Abstract: In the Internet of Things (IoT) environment, to maintain the global consistency and generalization capability of federated learning (FL) models with good data privacy, a personalized FL ...
IEEE

Lightweight Adaptive Quantization Algorithms for Federated Learning With Heterogeneous Clients

Abstract: Quantization is a common method to improve communication efficiency in federated learning (FL) by compressing the gradients that clients upload. Currently, most application scenarios involve ...
IEEE

Rank-Based Learning and Local Model-Based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Problems

Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have been widely developed to solve complex and computationally expensive multiobjective optimization problems (EMOPs) in recent years.