Results 81 to 90 of about 180,935 (266)
DSS-Mamba: Deformable Spatial–Spectral State-Space Model for Hyperspectral Land Cover Classification
State-space models, particularly Mamba, have garnered significant attention from researchers owing to their efficient balance between computational efficiency and model performance, and they also provide a performance breakthrough for accurate land cover
Dehua Huo +7 more
doaj +1 more source
Geographical Information Model of Terrestrial Ecosystems of the White Sea Lowland
The results of building the geoinformation model of terrestrial ecosystems by Landsat spectral space modeling are reported. The spectral space model accurately reflects the natural structure of the forest and mire cover, which is related to the type of ...
Pyotr Litinsky
doaj +1 more source
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Range–Null Space Decomposition With Frequency-Oriented Mamba for Spectral Superresolution
Spectral superresolution (SSR) is a technique aimed at reconstructing hyperspectral images (HSIs) from images with low spectral resolution. Previous methods combining mathematical models with deep learning have shown promising performance for HSI ...
Meimei Weng +4 more
doaj +1 more source
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang +10 more
wiley +1 more source
Hyperspectral Target Detection Based on Masked Autoencoder Data Augmentation
Deep metric learning combines deep learning with metric learning to explore the deep spectral space and distinguish between the target and background. Current target detection methods typically fail to accurately distinguish local differences between the
Zhixuan Zhuang, Jinhui Lan, Yiliang Zeng
doaj +1 more source
Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende +26 more
wiley +1 more source
In the past decade, Swift has performed several active galactic nucleus (AGN) high-cadence reverberation mapping campaigns, and it has generally found that the UV/optical interband lags are ∼3 times longer than predicted for a standard thin disk, thus ...
Collin Lewin +7 more
doaj +1 more source
ON THE SPECTRAL SEQUENCE OF A FIBER SPACE [PDF]
Hurewicz, Witold, Fadell, Edward
openaire +3 more sources

