IEEE

Optimization of the Neural Network Structure of the Bilevel Multi-Objective Generalized Quantum PSO Algorithm for Image Recognition

Abstract: With the development of deep learning, the traditional approach of manually designing network archi-tectures and determining parameters inevitably loses its reliance on expert systems, which ...
IEEE

An Integrated Multi-Objective Optimization Algorithm for Parameter Estimation and Maximum Power Point Tracking in Photovoltaic Systems

Abstract: The Maximum Power Point Tracking (MPPT) algorithm subjected the PV parameters to changes under faulty and weather operations conditions during runtime, which influenced the results obtained.
IEEE

ColabSfM: Collaborative Structure-from-Motion by Point Cloud Registration

Abstract: Structure-from-Motion (SfM) is the task of estimating 3D structure and camera poses from images. We define Collaborative SfM (ColabSfM) as sharing distributed SfM reconstructions. Sharing ...
IEEE

Convergence-Enhanced KLMS Algorithm: A Fixed-Point Perspective for Nonlinear System

Abstract: This paper reconstructs the kernel least mean squares algorithm (KLMS) from the perspective of the fixed-point strategy, thereby introducing the fixed-point kernel least mean squares ...
IEEE

Multi-Agent Interior-Point Policy Optimization Algorithm for Multi-Objective Resource Allocation Problem

Abstract: This paper focuses on the multi-objective resource allocation problem in multi-agent systems, where the objective is to find an optimal allocation policy. To solve this problem, we propose ...
IEEE

Multi Personalized Knowledge Point Push Algorithm for Web Front - End Teaching

Abstract: In the rapidly evolving field of Web Front-End development, traditional teaching platforms often suffer from rigid content delivery mechanisms that fail to accommodate individual learning ...
IEEE

Exploring Quantum Machine Learning Algorithms for Enhanced Data Classification and Clustering in Complex Systems - Integration with Gradient Boosting and K-means for Improved ...

Abstract: This research focuses on the implementation of quantum machine learning with the classical models such as Gradient Boosting and K-means clustering for efficient classification and clustering ...
IEEE

The Underwater Terrain Matching Localization Algorithm Based on 3D Point Cloud

Abstract: Existing underwater terrain matching localization algorithms face challenges such as limited application scope, poor real-time performance, and low localization accuracy. To address these ...
IEEE

Optimization of New Energy Vehicle Industry Structure Based on Optimization Link Prediction Similarity Algorithm and CGE

Abstract: In light of the growing global concerns over energy and climate change, new energy vehicles are confronted with both opportunities and challenges posed by industrial structural ...