Results 61 to 70 of about 1,031,506 (314)
Determining the sharp bounds for coefficient-related problems that appear in the Taylor–Maclaurin series of univalent functions is one of the most difficult aspects of studying geometric function theory.
Khalil Ullah +3 more
doaj +1 more source
ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network
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
Hypergraph Convolution and Hypergraph Attention [PDF]
Recently, graph neural networks have attracted great attention and achieved prominent performance in various research fields. Most of those algorithms have assumed pairwise relationships of objects of interest.
S. Bai, Feihu Zhang, Philip H. S. Torr
semanticscholar +1 more source
Harmonic analysis on Heisenberg--Clifford Lie supergroups
We define a Fourier transform and a convolution product for functions and distributions on Heisenberg--Clifford Lie supergroups. The Fourier transform exchanges the convolution and a pointwise product, and is an intertwining operator for the left regular
Alldridge, Alexander +2 more
core +1 more source
Third-Order Fuzzy Subordination and Superordination on Analytic Functions on Punctured Unit Disk
This work’s theorems and corollaries present new third-order fuzzy differential subordination and superordination results developed by using a novel convolution linear operator involving the Gaussian hypergeometric function and a previously studied ...
Ekram E. Ali +3 more
doaj +1 more source
Approximation properties on Herz spaces
En este artículo consideramos los espacios de Herz Kαp,q , los cuales son una generalización natural de los espacios de Lebesgue Lp . Demostramos algunas propiedades de aproximación tales como densidad del espacio C∞ c (R n), continuidad de la ...
Jhean E. Pérez-López
doaj +1 more source
Multi-Scale Feature Interaction Network for Remote Sensing Change Detection
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
A topological analysis of p(x)-harmonic functionals in one-dimensional nonlocal elliptic equations
We consider a class of one-dimensional elliptic equations possessing a p(x)-harmonic functional as a nonlocal coefficient.
Goodrich Christopher S.
doaj +1 more source
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution [PDF]
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
Teaching the concept of convolution and correlation using Fourier transform
Convolution operation is indispensable in studying analog optical and digital signal processing. Equally important is the correlation operation. The time domain community often teaches convolution and correlation only with one dimensional time signals ...
Goodman, Smith
core +1 more source

