3 papers
cs.LG2025
Time-Series Forecasting via Topological Information Supervised Framework with Efficient Topological Feature Learning
ZiXin Lin, Nur Fariha Syaqina Zulkepli
Topological Data Analysis (TDA) has emerged as a powerful tool for extracting meaningful features from complex data structures, driving significant advancements in fields such as n…
stat.ML2024
Hybridization of Persistent Homology with Neural Networks for Time-Series Prediction: A Case Study in Wave Height
Zixin Lin, Nur Fariha Syaqina Zulkepli, Mohd Shareduwan Mohd Kasihmuddin +1
Time-series prediction is an active area of research across various fields, often challenged by the fluctuating influence of short-term and long-term factors. In this study, we int…
stat.AP2024
An Analysis of Sea Level Spatial Variability by Topological Indicators and -means Clustering Algorithm
Zixin Lin, Nur Fariha Syaqina Zulkepli, Mohd Shareduwan Mohd Kasihmuddin +1
The time-series data of sea level rise and fall contains crucial information on the variability of sea level patterns. Traditional -means clustering is commonly used for categor…