Results 101 to 110 of about 91,296 (293)
Effect of Sequential and Combined Space‐Based Stressors on Perovskite Solar Cell Stability
A correlation between loss in performance and mobile ion concentration has been established by sequential stressing of perovskite solar cells under Low Earth Orbit conditions with exposure to protons, light, and thermal cycling. It is shown that the loss in performance increases when ion concentration increases and vice versa.
Saivineeth Penukula +9 more
wiley +1 more source
Fusing low-resolution hyperspectral images (HSI) with high-resolution multispectral images (MSI) has become a promising technique for generating high-resolution HSI, effectively addressing the low spatial resolution limitations of hyperspectral data ...
Jia Jia +5 more
doaj +1 more source
Resolving Mixed Algal Species in Hyperspectral Images
We investigated a lab-based hyperspectral imaging system’s response from pure (single) and mixed (two) algal cultures containing known algae types and volumetric combinations to characterize the system’s performance.
Mehrube Mehrubeoglu +2 more
doaj +1 more source
Hyperspectral colon tissue cell classification [PDF]
A novel algorithm to discriminate between normal and malignant tissue cells of the human colon is presented. The microscopic level images of human colon tissue cells were acquired using hyperspectral imaging technology at contiguous wavelength intervals ...
Rajpoot, Nasir M. (Nasir Mahmood) +2 more
core
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley +1 more source
Multiscale NMF based on intra-pixel and inter-pixel structure adjustment for spectral unmixing
Various improved nonnegative matrix factorization (NMF) methods have been widely used in spectral unmixing (SU), including nonlinear versions to counter for the lower spatial resolution and interaction between materials.
Tingting Yang +3 more
doaj +1 more source
MORPHOLOGICAL SEGMENTATION OF HYPERSPECTRAL IMAGES
The present paper develops a general methodology for the morphological segmentation of hyperspectral images, i.e., with an important number of channels. This approach, based on watershed, is composed of a spectral classification to obtain the markers and a vectorial gradient which gives the spatial information. Several alternative gradients are adapted
Noyel, Guillaume +2 more
openaire +7 more sources
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen +5 more
wiley +1 more source
Nonlinear unmixing of hyperspectral images using a generalized bilinear model [PDF]
Nonlinear models have recently shown interesting properties for spectral unmixing. This paper studies a generalized bilinear model and a hierarchical Bayesian algorithm for unmixing hyperspectral images. The proposed model is a generalization not only of
Altmann, Yoann +9 more
core +1 more source
Abstract Imagers operating in the visible to near‐infrared (NIR) range play an important role in applications such as industrial sorting, security surveillance, and autonomous driving. However, conventional imaging technologies based on silicon and III–V semiconductors suffer from several limits, including restricted spectral range, high fabrication ...
Xin Hong +4 more
wiley +1 more source

