Best Presentations

Best Oral/Poster Presentation Award: One Best Oral/Poster Presentation will be selected from each session and the Award will be announced at the end of each session.

2025 International Conference on Applied Mathematics, Modelling and Statistics Application

(AMMSA 2025)

September 27-28, 2025, Changsha, China

AA179

An Adaptive Method for Seismic Data Denoising Based on Dictionary Learning and Rank Reduction

Nan Zhao

College of Artificial Intelligence, Dalian Maritime University, 116026, China

AA119

Predictive Simulation of Hydrates in the Xiangguo Temple Gas Storage Facility

Y Yang

Chongqing Xiangguosi Underground Gas Storage Co.. Ltd, Chongqing, China

2024 International Conference on Applied Mathematics, Modelling and Statistics Application

(AMMSA 2024)

August 29-30, 2024 · Changsha, China

AM157

An inertial-relaxed conjugate gradient algorithm based on the mathematical model of rural pipeline network and its application in image-restoration

Gang Yan

Center for Applied Mathematics of Guangxi (Guangxi University), Guangxi University, Nanning, Nanchang, China

AM199

Modeling and Optimization Algorithm for Rotational Irrigation Group Based on Connectivity Weighted Index

Wei Li

School of Computer Science and Technology, Shihezi University, China

AM235

Based on Finite Element Simulation: Optimization of Microneedle Structure and Mechanical Performance Analysis

Wenkai Wang

Jiangxi Province Key Laboratory of Precision Drive and Control, Nanchang Institute of Technology, China

2023 International Conference on Applied Mathematics, Modelling and Statistics Application

(AMMSA 2023)

August 26-28, 2023 Changsha, China

AM0145

An Improved Multi-dimensional Uncertainty Quantification Method Based on DNN-DRM

Yingge Zhao

School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China

AM0119

Concentration Prediction of Multi-component Gases Based on Improved Sparrow Search Algorithm

Zehao Zhu

Key Laboratory of Thin Film and Microfabrication (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China

AM0310

A Method to Estimate Evapotranspiration in Greenhouse Conditions by Artificial Neural Networks Using Limited Climate Parameters

Hongbo Yuan

College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding, China