Hyperspectral anomaly detection is aimed at detecting observations that differ from their
surroundings, and is an active area of research in hyperspectral image processing. Recently, …

In recent years, with the rapid development of unmanned aerial vehicles (UAVs) and lightweight
hyperspectral imaging (HSI) sensors, mini-UAV-borne hyperspectral remote sensing (…

Tomographic image reconstruction with deep learning is an emerging field of applied artificial
intelligence. Reducing radiation dose with sparse views’ reconstruction is a significant …

Fabricating ultrathin covalent organic framework (COF) membranes toward high‐permeance
molecular separations is highly desired yet challenging. Herein, a polyelectrolyte‐mediated …

Molecular separations that enable selective transport of target molecules from gas and liquid
molecular mixtures, such as CO2 capture, olefin/paraffin separations, and organic solvent …

Carbon emission has become a worldwide concern with global warming and concurrent
climate changes. Carbon capture using membrane-based technology offers an effective way to …

Failure of embryo implantation is a major limiting factor in early pregnancy and assisted
reproduction. Determinants of implantation include the embryo viability, the endometrial …

Score-based generative model (SGM) has risen to prominence in sparse-view CT reconstruction
due to its impressive generation capability. The consistency of data is crucial in guiding …

Metal–organic frameworks (MOFs) are one of the most promising membrane materials for
olefin/paraffin separations. However, most of MOF membranes have a thickness over 1 µm, …

We report a covalent organic framework (COF) induced seeding strategy to fabricate metal–organic
framework (MOF) membranes. Contrary to graphene oxide nuclei‐depositing …