Results 61 to 70 of about 1,012,747 (224)

Multi-Scale Feature Interaction Network for Remote Sensing Change Detection

open access: yesRemote Sensing, 2023
Change detection (CD) is an important remote sensing (RS) data analysis technology. Existing remote sensing change detection (RS-CD) technologies cannot fully consider situations where pixels between bitemporal images do not correspond well on a one-to ...
Chong Zhang, Yonghong Zhang, Haifeng Lin
doaj   +1 more source

ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network

open access: yesProcedia Computer Science, 2020
Tomato is the most popular crop in the world and in every kitchen, it is found in different forms irrespective of the cuisine. After potato and sweet potato, it is the crop which is cultivated worldwide.
M. Agarwal   +4 more
semanticscholar   +1 more source

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution [PDF]

open access: yesIEEE International Conference on Computer Vision, 2019
In natural images, information is conveyed at different frequencies where higher frequencies are usually encoded with fine details and lower frequencies are usually encoded with global structures. Similarly, the output feature maps of a convolution layer
Yunpeng Chen   +7 more
semanticscholar   +1 more source

The Fourier transform and convolutions generated by a differential operator with boundary condition on a segment

open access: yes, 2013
We introduce the concepts of the Fourier transform and convolution generated by an arbitrary restriction of the differentiation operator in the space $L_{2}(0,b).$ In contrast to the classical convolution, the introduced convolution explicitly depends on
Kanguzhin, Baltabek   +1 more
core   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

open access: yesFEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva   +5 more
wiley   +1 more source

Search for the optimal smoothing method to improve S/N in cosmic maser spectra

open access: yesOpen Astronomy
In this article, a number of smoothing methods were investigated to enhance the signal-to-noise (S/N) ratio of diverse methanol maser spectral data, encompassing variations in signal strength, multiplicity of peaks, and spectral complexity.
Egliene Anete, Aberfelds Artis
doaj   +1 more source

Convolution, Separation and Concurrency [PDF]

open access: yes, 2014
A notion of convolution is presented in the context of formal power series together with lifting constructions characterising algebras of such series, which usually are quantales. A number of examples underpin the universality of these constructions, the
Dongol, Brijesh   +2 more
core  

Convolution algebras and the deformation theory of infinity-morphisms

open access: yes, 2018
Given a coalgebra C over a cooperad, and an algebra A over an operad, it is often possible to define a natural homotopy Lie algebra structure on hom(C,A), the space of linear maps between them, called the convolution algebra of C and A.
Robert-Nicoud, Daniel, Wierstra, Felix
core   +2 more sources

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

open access: yesMolecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici   +8 more
wiley   +1 more source

Optical Design of a Smart-Pixel-Based Optical Convolutional Neural Network

open access: yesOptics
We designed lens systems for a smart-pixel-based optical convolutional neural network (SPOCNN) using optical software to analyze image spread and estimate alignment tolerance for various kernel sizes.
Young-Gu Ju
doaj   +1 more source

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