Results 101 to 110 of about 19,235 (216)

UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields

open access: yes
Neural Radiance Field (NeRF)-based segmentation methods focus on object semantics and rely solely on RGB data, lacking intrinsic material properties. This limitation restricts accurate material perception, which is crucial for robotics, augmented reality, simulation, and other applications.
Perez, Fabian   +4 more
openaire   +2 more sources

Multiple Longitudinal Tracts in the Cephalopod Arm Sensorimotor System

open access: yesJournal of Comparative Neurology, Volume 534, Issue 5, May 2026.
Octopuses have a rich behavioral repertoire, coordinating complex movements along the length of an arm. The neural circuits controlling these behaviors are poorly understood. We employ tract‐tracing to investigate longitudinal tracts in the octopus arm.
Cassady S. Olson, Clifton W. Ragsdale
wiley   +1 more source

Neural Network‐Based Detection of Adulterants in Opioid Samples Using IR Absorption Spectroscopy

open access: yesDrug Testing and Analysis, Volume 18, Issue 5, Page 619-624, May 2026.
We construct a neural network for the classification of bromazolam and fluorofentanyl in illicit opioid samples. The model outperforms a random forest classifier and shows elevated performance for low concentration samples. ABSTRACT Community‐based drug checking services are challenged in their ability to reliably detect low concentration adulterants ...
Joshua Jai   +4 more
wiley   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

open access: yesMicroscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari   +5 more
wiley   +1 more source

Cryptic Paleomagnetic Complexity in the Ediacaran Egersund Dikes

open access: yesGeochemistry, Geophysics, Geosystems, Volume 27, Issue 5, May 2026.
Abstract The Ediacaran Period (∼635–539 Ma) represents a critical interval in Earth's evolution, yet its paleomagnetic record remains complex and contentious. One of the few Ediacaran paleomagnetic results from Baltica considered robust is a pole from the ca.
Yi Xue   +5 more
wiley   +1 more source

SSF-Net: A Spatial–Spectral Features Integrated Autoencoder Network for Hyperspectral Unmixing

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, deep learning has received tremendous attention in the field of hyperspectral unmixing (HU) due to its powerful learning capabilities.
Bin Wang   +4 more
doaj   +1 more source

Kernel-Based Nonlinear Spectral Unmixing with Dictionary Pruning

open access: yesRemote Sensing, 2019
Spectral unmixing extracts subpixel information by decomposing observed pixel spectra into a collection of constituent spectra signatures and their associated fractions.
Zeng Li, Jie Chen, Susanto Rahardja
doaj   +1 more source

Noise Effect on Linear Spectral Unmixing

open access: yesAnnals of GIS, 1999
Abstract Using hyperspectral reflectance data collected from six types of surface covers, we synthesized linear mixtures and used them to test the sensitivity of two linear unmixing algorithms to simulated additive noise. We found both algorithms were highly sensitive to noise. This may considerably limit their use in remote sensing.
P. Gong, A. Zhang
openaire   +1 more source

Ediacara Obscura: Unveiling Hidden Magnetisations in the Fen Complex, Southern Norway

open access: yesGeochemistry, Geophysics, Geosystems, Volume 27, Issue 5, May 2026.
Abstract Paleomagnetic directions found in Ediacaran (635–539 Ma) rocks are widely dispersed, which has led to conflicting hypotheses about tectonic regimes and geomagnetic field behavior during this period, and raised doubts about the fidelity of the paleomagnetic record.
Justin A. D. Tonti‐Filippini   +8 more
wiley   +1 more source

DMAE-HU: A novel deep multitasking autoencoder for hybrid hyperspectral unmixing in remote sensing

open access: yesICT Express
Hyperspectral unmixing (HU) is crucial for extracting material information from hyperspectral images (HSI) obtained through remote sensing. Although linear unmixing methods are widely used due to their simplicity, they only address linear mixing effects.
Suresh Aala   +8 more
doaj   +1 more source

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