Machine Learning Unlocks New Directions in Halide Perovskite Research
ChemElectroChem, Volume 13, Issue 1, January 2026.GA: This frontispiece visualizes the role of machine learning (ML) in advancing halide perovskite research. It highlights how ML enables the prediction of material properties, guides compositional design, and supports the development of stable, high‐performance perovskite devices for optoelectronic applications, providing new strategies to overcome ...
Hyejin Choe +3 more
wiley +1 more source
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering. [PDF]
Sensors (Basel), 2023 Uchaev D, Uchaev D.
europepmc +1 more source
Chemistry–Methods, Volume 6, Issue 1, January 2026.This work assesses, through a quantitative micro energy dispersive X‐ray fluorescence imaging, the effective use of micro‐structured cellulose foams as a sustainable alternative to traditional poultices for desalinating fresco paintings. Foams were between 6 and 10 times more efficient, achieving rapid and in‐depth salt removal with reusability and ...
Martina Romani +8 more
wiley +1 more source
Hyperspectral Image Classification: Potentials, Challenges, and Future Directions. [PDF]
Comput Intell Neurosci, 2022 Datta D +5 more
europepmc +1 more source
Huckleberry Habitat and Its Influence on Two Small Populations of Grizzly Bears (Ursus arctos)
Ecology and Evolution, Volume 16, Issue 1, January 2026.We modeled habitat of an important seasonal food item for two Threatened (United States Endangered Species Act) populations of grizzly bears. Our findings suggest that huckleberry habitat is not limiting but does have the potential to influence population density, dispersal/range expansion, energetics, and body size.
Justin E. Teisberg +5 more
wiley +1 more source
A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification. [PDF]
Sci RepSangeetha V, Agilandeeswari L.
europepmc +1 more source
A Hybrid Clustering Method with a Filter Feature Selection for Hyperspectral Image Classification. [PDF]
J Imaging, 2022 Zhang J.
europepmc +1 more source
A Critical Review on the Application and Innovation in Smart Fisheries
Engineering Reports, Volume 8, Issue 1, January 2026.Smart fisheries powered by Artificial Intelligence (AI), Internet of Things (IoT), and machine learning can spot diseases early, monitor water in real time, and identify fish automatically, helping farmers boost yields, cut losses, and protect sustainability in countries like Bangladesh.
Shahim Uddin Saba +6 more
wiley +1 more source
Multiscale superpixel depth feature extraction for hyperspectral image classification. [PDF]
Sci RepYan Q, Zhang S, Chen X, Zheng Z.
europepmc +1 more source
Hyperspectral Image Classification Model Using Squeeze and Excitation Network with Deep Learning. [PDF]
Comput Intell Neurosci, 2022 T R +6 more
europepmc +1 more source