This culinary demonstration provides a practical solution for repurposing leftover vegetables into a comforting and flavorful ...

This culinary tutorial showcases an innovative twist on game day snacks by combining slow smoking and deep frying to create ...

Abstract: Probabilistic modeling is a core challenge in statistical machine learning. Tensor-based probabilistic graph methods address interpretability and stability concerns encountered in neural ...

Abstract: In this letter, we propose a convolutional dictionary iterative model for pansharpening with a mixture of experts. First, we define an observation model to model the common and unique ...

This study adopted a systematic review approach to identify, analyse, and synthesise empirical evidence on the effects of ICT-focused professional development (PD) on teaching practices and student ...

WGAST (Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion) is a novel deep learning framework for spatio-temporal fusion of satellite ...

This repository contains implementations of both conditional diffusion models for 1D data generation, built with PyTorch. The models are designed to solve inverse design scattering problems. The ...