Advancements in Amphibious Robot Navigation through Wheeled Odometer Uncertainty Extension and Distributed Information Fusion DOI
Mingxuan Ding, Qinyun Tang, Kaixin Liu

et al.

Robotics and Autonomous Systems, Journal Year: 2024, Volume and Issue: 183, P. 104839 - 104839

Published: Oct. 22, 2024

Language: Английский

Exploring coupling coordination of new urbanization, green innovation and low-carbon development systems in China DOI
Xuemei Li,

Xiqing Zhou,

Yufeng Zhao

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: 495, P. 145022 - 145022

Published: Feb. 17, 2025

Language: Английский

Citations

2
Predictive modeling of fractional plankton-assisted cholera propagation dynamics using Bayesian regularized deep cascaded exogenous neural networks DOI

A. V. Sultan,

Muhammad Junaid Ali Asif Raja,

Chuan‐Yu Chang

et al.

Process Safety and Environmental Protection, Journal Year: 2025, Volume and Issue: unknown, P. 106819 - 106819

Published: Feb. 1, 2025

Language: Английский

Citations

1
A novel dynamic grey multivariate prediction model for multiple cumulative time-delay shock effects and its application in energy emission forecasting DOI
Xuemei Li, Beijia Zhang, Yufeng Zhao

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 251, P. 124081 - 124081

Published: April 25, 2024

Language: Английский

Citations

5
Motion position prediction and machining accuracy compensation of galvanometer scanner based on BWO-GRU model DOI
Xintian Wang,

Mei Xuesong,

Xiaodong Wang

et al.

Mechanical Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 210, P. 111081 - 111081

Published: Jan. 21, 2024

Language: Английский

Citations

4
The development trend of China’s marine economy: a predictive analysis based on industry level DOI Creative Commons
Yu Chen,

Huahan Zhang,

Lingling Pei

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 10, 2025

This paper aims to provide insights into the future trends for marine industries in China, by forecasting added value key sectors and then offering tailored policy recommendations. Those economic indicators at industry level are characterized small sample sizes, sectoral heterogeneity, irregular fluctuations, which require a specialized methodology handle data features predictions each industry. To address these issues, conformable fractional grey model ( CFGM ), integrates accumulation with model, is applied proven effective through accuracy robustness tests. First, results from multi-step experiments demonstrate that significantly outperforms traditional statistical, machine learning models, models context of predictions, an average improvement 32.14%. Second, stability predictive values generated further verified Probability Density Analysis PDA ) multiple comparisons best MCB tests, thereby ruling out possibility accurate result mere chance. Third, used estimate across industries, accompanied suggestions ensure sustainable development economy.

Language: Английский

Citations

0
A novel self-adaptive multivariate grey model with external intervention for port cargo throughput prediction DOI
Xuemei Li, Yuyu Sun, Yansong Shi

et al.

Grey Systems Theory and Application, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Purpose Accurate prediction of port cargo throughput within Free Trade Zones (FTZs) can optimize resource allocation, reduce environmental pollution, enhance economic benefits and promote sustainable transportation development. Design/methodology/approach This paper introduces a novel self-adaptive grey multivariate modeling framework (FARDCGM(1,N)) to forecast in China, addressing the challenges posed by mutations time lag characteristics series data. The model explores policy-driven mechanisms autoregressive terms, incorporating policy dummy variables capture deviations system development trends. inclusion terms enhances model’s ability describe evolving complexity. Additionally, fractional-order accumulative generation operation effectively captures data features, while Grey Wolf Optimization algorithm determines optimal nonlinear parameters, enhancing robustness. Findings Verification using forecasts for FTZs Shanghai, Guangdong Zhejiang provinces demonstrates FARDCGM(1,N) remarkable accuracy stability. innovative proves be an excellent forecasting tool systematically analyzing under external interventions effects. Originality/value A framework, FARDCGM(1,N), is introduced accurately predicting throughput, considering impacts time-lag incorporates GWO parameter selection, adaptability sudden changes. It dual role influencing trends impact on dynamic response rates, improving complexity handling.

Language: Английский

Citations

0
A novel time-lag discrete grey Euler model and its application in renewable energy generation prediction DOI
Yong Wang, Rui Yang, Lang Sun

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122785 - 122785

Published: Feb. 1, 2025

Language: Английский

Citations

0
A survey of Beluga whale optimization and its variants: Statistical analysis, advances, and structural reviewing DOI
Sang-Woong Lee, Amir Haider, Amir Masoud Rahmani

et al.

Computer Science Review, Journal Year: 2025, Volume and Issue: 57, P. 100740 - 100740

Published: March 3, 2025

Language: Английский

Citations

0
An integrated space polyhedral grid grey relational analysis model based on panel interval grey number for seawater quality assessment DOI
Xuemei Li, Zhichao Chen, Yufeng Zhao

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127363 - 127363

Published: March 1, 2025

Language: Английский

Citations

0
A novel nonlinear time-varying grey prediction framework for green transformation of manufacturing industry: Modeling of a non-equidistant perspective DOI
Shiwei Zhou, Yufeng Zhao, Xuemei Li

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111068 - 111068

Published: March 1, 2025

Language: Английский

Citations

0