Results 271 to 280 of about 204,035 (336)

Additional file 4 of Assisting species differentiation and taxonomic classification by hyperspectral imaging: an example from the parasitic plant realm

Vasili A Balios, Samuel Ortega, Karsten Heia, Anna Avetisyan, Kirsten Krause   +4 more
openalex   +1 more source

Physics‐informed multimodal learning for snapshot dental spectral reflectance prediction

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Accurate color matching is essential to achieving aesthetically realistic outcomes in dental crown and bridge restorations. Traditional visual methods, however, are often affected by lighting variations and observer subjectivity. These limitations can lead to metamerism and inconsistent clinical outcomes.
Yujun Feng, Yushan Guo, Qingyi Liu, Fei Liu, Jiefei Shen, Junfei Shen   +5 more
wiley   +1 more source

A hyperspectral imaging and machine learning approach for rapid and non-invasive diagnosis of cassava bacterial blight. [PDF]

Front Plant Sci
Carvalho ICB, Ferreira LDC, Neves ARM, Carvalho AMS, Lima HPR, Rossato M.   +5 more
europepmc   +1 more source

Hyperspectral image acquisition, estimation, and feature extraction of complex and textured surfaces

, 2020
Arash Mirhashemi
openalex   +1 more source

Scene Investigation from the Sky: Current and Future Uses of Unoccupied Aerial Systems in Forensic Investigations

WIREs Forensic Science, Volume 8, Issue 2, June 2026.
Police drone technology could be utilized to support forensic scene investigations. If the challenges of implementing new technologies can be overcome, drones could improve operational efficiency, interpretation issues and add investigative value in the courtroom. ABSTRACT Unoccupied aerial systems (UAS; otherwise known as Uncrewed Aerial Vehicles (UAV)
Clare Barrett, Sébastien Moret, Denis Werner   +2 more
wiley   +1 more source

Age Prediction of Hematoma from Hyperspectral Images Using Convolutional Neural Networks. [PDF]

J Imaging
Keshavarz A, Bieber G, Wulff D, Babian C, Lüdtke S.   +4 more
europepmc   +1 more source

Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Overview of key research challenges in forest disturbance monitoring, including the detection of disturbances of varying severity, the attribution of disturbance agents, and the development of models capable of generalizing across regions. ABSTRACT Climate change and land use pressures are intensifying forest disturbances in many world regions, as ...
Carolina Natel, Christoph Molnar, Ricardo Dalagnol, Peer Nowack   +3 more
wiley   +1 more source

Terrestrial Runoff Divides the Central Arctic Ocean and Shapes the Biologically Relevant Marine Lightscape

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract The Arctic Ocean is undergoing drastic changes in its sea ice cover, but is also optically complex. Observations from summer 2022 across the western Eurasian Basin, show increased colored dissolved organic matter (CDOM) absorption from terrestrial‐derived runoff within the Transpolar Drift (TPD) in the Amundsen Basin, extending down to a depth
Håkon Sandven, David McKee, Rafael Gonçalves‐Araujo, Rüdiger Röttgers, Anders F. Opdal, Philipp Assmy, Mats A. Granskog   +6 more
wiley   +1 more source

Weed Species Identification Using Hyperspectral Imaging and Machine Learning. [PDF]

Plants (Basel)
Ualiyeva RM, Kaverina MM, Osipova AV, Iksat NN, Zhangazin SB.   +4 more
europepmc   +1 more source

Desertification Risk: Bibliometric Analysis and Future Research Directions

Land Degradation &Development, Volume 37, Issue 8, Page 3331-3348, 15 May 2026.
ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam, Daniela Smiraglia, Antonio Pulina, Francesca Assennato, Elisabetta Raparelli, Giovanna Seddaiu   +5 more
wiley   +1 more source