Results 61 to 70 of about 1,051,339 (291)
Small-size spectral features for machine learning in voice signal analysis and classification tasks
Objectives. The problem of developing a method for calculating small-sized spectral features that increases the efficiency of existing machine learning systems for analyzing and classifying voice signals is being solved.Methods.
D. S. Likhachov +3 more
doaj +1 more source
Hyperspectral Image Classification via Information Theoretic Dimension Reduction
Hyperspectral images (HSIs) are one of the most successfully used tools for precisely and potentially detecting key ground surfaces, vegetation, and minerals.
Md Rashedul Islam +4 more
doaj +1 more source
ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
wiley +1 more source
Spectrum sensing by cognitive radios at very low SNR
Spectrum sensing is one of the enabling functionalities for cognitive radio (CR) systems to operate in the spectrum white space. To protect the primary incumbent users from interference, the CR is required to detect incumbent signals at very low signal ...
Quan, Zhi +3 more
core +2 more sources
ABSTRACT In pediatric patients, T‐cell lymphoblastic lymphoma (T‐LBL) survival exceeds 80%. Relapse remains associated with limited curative options. Frontline treatment is largely extrapolated from T‐cell acute lymphoblastic leukemia (T‐ALL) treatment, reflecting the ongoing debate, whether both entities represent distinct diseases or variants within ...
Marie C. Heider +4 more
wiley +1 more source
In response to the limitations of meteorological conditions in global rice growing areas and the high cost of annotating samples, this paper combines the Vertical-Vertical (VV) polarization and Vertical-Horizontal (VH) polarization backscatter features ...
Lingling Du +4 more
doaj +1 more source
Leaf area index (LAI) and biomass are important indicators that reflect the growth status of maize. The optical vegetation indices and the synthetic-aperture radar (SAR) backscattering coefficient are commonly used to estimate the LAI and biomass ...
Peilei Luo +2 more
doaj +1 more source
A Cloud Detection Method Based on Spectral and Gradient Features for SDGSAT-1 Multispectral Images
Due to the limited penetration of visible bands, optical remote sensing images are inevitably contaminated by clouds. Therefore, cloud detection or cloud mask products for optical image processing is a very important step.
Kaiqiang Ge +4 more
doaj +1 more source
Prominences in SDO/EVE spectra: contributions from large solar structures [PDF]
The EVE instrument on SDO is making accurate measurements of the solar spectral irradiance in the EUV between 30 and 1069 Å, with 1 Å spectral resolution and 10 s sampling rate.
Hudson, Hugh +2 more
core +1 more source
On the spectral features of robust probing security
In this work we provide a spectral formalization of non-interference in the presence of glitches. Our goal is to present new theoretical and practical tools to reason about robust-d-probing security. We show that the current understanding of extended probes lends itself to probes that participate, during gadget composition, to the creation of ...
Maria Chiara Molteni, Vittorio Zaccaria
openaire +4 more sources

