私の最新の論文を専門性を保ちつつ、なおかつ、極力、分かりやすく解説してみたいと思います。 Title: Analyzing 21cm forest with wavelet scattering transform: Insight into non-Gaussian features of the 21cm forest 宇宙の黎明期、特に宇宙の「暗黒時代（Dark Ages）」、「宇宙の夜明け ...

MulScatteringViT/ ├── models/ # Model architectures │ ├── base_models.py # Scattering network implementations │ ├── top_models.py # ViT, ResNet, and other classifiers │ └── create_filters.py # Wavelet ...

Abstract: This paper presents a robust method for ECG signal classification by integrating Wavelet Scattering Transform (WST) with a lightweight CNN-LSTM network. Unlike the conventional Continuous ...

This repository implements a Hermite wavelet collocation method in Python for solving a third-order ordinary differential equation. The code constructs Hermite wavelet basis functions, builds the ...

Abstract: Federated learning (FL) enables the training of machine learning models across decentralized clients while preserving data privacy. However, the presence of anomalous or corrupted ...