Results 101 to 110 of about 2,924,189 (218)

Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset

Scientific Data
Abstract The global challenge of sustainable recycling demands automated, fast, and accurate material detection systems that act as a bedrock for a circular economy. Integrating front-tier technologies into advanced recycling systems democratizes access to AI-driven sustainability, and transforms waste analysis ...
Arbash, E., Afifi, A. J. M., Belahsen, Y., Fuchs, M., Ghamisi, P., Scheunders, P., Gloaguen, R.   +6 more
openaire   +6 more sources

What Are Computer‐Assisted Methods Achieving in Fine‐Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta‐Analysis

Cytopathology, Volume 37, Issue 6, Page 587-602, November 2026.
This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley   +1 more source

Bespoke Real‐Time Multispectral Imaging for Apple Browning Evaluation Using Physics‐Informed Neural Networks

Journal of Food Process Engineering, Volume 49, Issue 11, November 2026.
A compact multispectral imaging system combined with a physics‐informed neural network enables real‐time quantitative monitoring and prediction of enzymatic browning in fresh‐cut apples. The Weibull‐constrained model improves temporal extrapolation over conventional Weibull and data‐driven neural network approaches.
Guojun Tang, Paul D. Teal, Alexander Doronin   +2 more
wiley   +1 more source

Industry 5.0‐Oriented Digital Technologies for Agro‐Food Processing and Supply Chains: A Review With Applications in Peru

Journal of Food Process Engineering, Volume 49, Issue 11, November 2026.
Industry 5.0 technologies support agro‐food engineering using intelligent automation and other digital tools. Integrating advanced digital technologies into agro‐food processing enables efficient, traceable, and sustainable production systems. ABSTRACT This review discusses the application of Industry 5.0‐oriented digital technologies in agro‐food ...
Grisel Osorio, Jhonny Pacheco, Heidy Valeria Palacin‐Baldeón, Pedro Shiguihara, Luis Olivera Montenegro, Giovani Leone Zabot   +5 more
wiley   +1 more source

Multiorder Graph Convolutional Network With Channel Attention for Hyperspectral Change Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral change detection (CD) aims to obtain the change information of objects in the multitemporal hyperspectral images (HSIs). Recently, with the advantages in fully extracting the image features of irregular areas, the graph convolutional ...
Yuxiang Zhang, Rui Miao, Yanni Dong, Bo Du   +3 more
doaj   +1 more source

Hyperspectral Anomaly Detection via Merging Total Variation Into Low-Rank Representation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Anomaly detection (AD) aiming to locate targets distinct from the surrounding background spectra remains a challenging task in hyperspectral applications.
Linwei Li, Ziyu Wu, Bin Wang
doaj   +1 more source

Seeing the unseen: hyperspectral imaging opens a new window into the root economics space

New Phytologist, Volume 252, Issue 5, Page 1695-1699, December 2026.
Boris Rewald
wiley   +1 more source

Quality criteria benchmark for hyperspectral imagery [PDF]

, 2005
Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community.
Christophe, Emmanuel, Léger, Dominique, Mailhes, Corinne   +2 more
core   +1 more source

SRS: 3D Mapping and Hyperspectral Imaging (HSI) v1

We have developed a protocol for utilizing stimulated Raman scattering (SRS) to acquirelabel-free measurements of specific macromolecules. When performing SRS imagingwe can acquire total protein, total lipid, unsaturated lipid, and saturatedlipid concentration from distinct Raman shift wavenumbers.
Jorge Villazon, Zhi Li, Yajuan Li, Hongje Jang, Anthony Fung, Lingyan Shi, Sanjay Jain   +6 more
openaire   +1 more source

Efficient Unsupervised Classification of Hyperspectral Images Using Voronoi Diagrams and Strong Patterns

, 2020
Hyperspectral images (HSIs) are a powerful tool to classify the elements from an area of interest by their spectral signature. In this paper, we propose an efficient method to classify hyperspectral data using Voronoi diagrams and strong patterns in the ...
Laura Bianca Bilius, Ştefan Gheorghe Pentiuc   +1 more
core   +1 more source