New numerical surfaces to the mathematical model of cancer chemotherapy effect in Caputo fractional derivatives
P Veeresha, DG Prakasha… - Chaos: An Interdisciplinary …, 2019 - pubs.aip.org
In this paper, we apply the q-homotopy analysis transform method to the mathematical
model of the cancer chemotherapy effect in the sense of Caputo fractional. We find some …
model of the cancer chemotherapy effect in the sense of Caputo fractional. We find some …
Convolutional autoencoder-based multispectral image fusion
This paper presents a deep learning-based pansharpening method for fusion of
panchromatic and multispectral images in remote sensing applications. This method can be …
panchromatic and multispectral images in remote sensing applications. This method can be …
Solving smoking epidemic model of fractional order using a modified homotopy analysis transform method
The pivotal aim of the present work is to obtain an approximated analytical solution for the
fractional smoking epidemic model with the aid of a novel technique called q-homotopy …
fractional smoking epidemic model with the aid of a novel technique called q-homotopy …
CNN-based fusion and classification of SAR and Optical data
Image fusion combines the images of different spectral, spatial, multi-date, as well as
radiometric data to achieve a better quality image for improved classification results …
radiometric data to achieve a better quality image for improved classification results …
Edge information based image fusion metrics using fractional order differentiation and sigmoidal functions
In recent years, the number of image fusion schemes presented by the research community
has increased significantly. Measuring the performance of these schemes is an important …
has increased significantly. Measuring the performance of these schemes is an important …
Extracting soil salinization information with a fractional-order filtering algorithm and grid-search support vector machine (GS-SVM) model
X Wang, F Zhang, H Kung, VC Johnson… - International Journal of …, 2020 - Taylor & Francis
The remote sensing information on the extraction method is of great importance to improve
the accuracy and efficiency of soil salinization information. The objective of this study is to …
the accuracy and efficiency of soil salinization information. The objective of this study is to …
Chmusic: a traditional Chinese music dataset for evaluation of instrument recognition
X Gong, Y Zhu, H Zhu, H Wei - … of the 4th international conference on big …, 2021 - dl.acm.org
Musical instruments recognition is a widely used application for music information retrieval.
As most of previous musical instruments recognition dataset focus on western musical …
As most of previous musical instruments recognition dataset focus on western musical …
Image fusion in remote sensing by multi-objective deep learning
A Azarang, N Kehtarnavaz - International Journal of Remote …, 2020 - Taylor & Francis
This paper presents a multi-objective deep learning method for the purpose of achieving
image fusion or pansharpening in remote sensing. This method uses a Denoising …
image fusion or pansharpening in remote sensing. This method uses a Denoising …
Fusion and classification of multi-temporal SAR and optical imagery using convolutional neural network
Remote sensing image classification is difficult, especially for agricultural crops with
identical phenological growth periods. In this context, multi-sensor image fusion allows a …
identical phenological growth periods. In this context, multi-sensor image fusion allows a …
Multi spectral image fusion by deep convolutional neural network and new spectral loss function
S Eghbalian, H Ghassemian - International Journal of Remote …, 2018 - Taylor & Francis
In this paper we propose a new multispectral image fusion architecture. The proposed
method includes two steps related to two neural networks. First the extracted spatial …
method includes two steps related to two neural networks. First the extracted spatial …