Results 61 to 70 of about 20,816 (168)

Local Descriptor Learning for Change Detection in Synthetic Aperture Radar Images via Convolutional Neural Networks

IEEE Access, 2019
In this paper, we present a novel convolutional neural network (CNN)-based model for change detection in synthetic aperture radar (SAR) images. Considering that change detection task takes image pairs as an input, we first explore multiple neural network
Huihui Dong, Wenping Ma, Yue Wu, Maoguo Gong, Licheng Jiao   +4 more
doaj   +1 more source

Siamese Graph Neural Networks for Data Integration

, 2020
Data integration has been studied extensively for decades and approached from different angles. However, this domain still remains largely rule-driven and lacks universal automation. Recent development in machine learning and in particular deep learning has opened the way to more general and more efficient solutions to data integration problems.
Krivosheev, Evgeny, Atzeni, Mattia, Mirylenka, Katsiaryna, Scotton, Paolo, Casati, Fabio   +4 more
openaire   +2 more sources

Building Damage Assessment Using Feature Concatenated Siamese Neural Network

IEEE Access
Fast and accurate post-earthquake building damage assessment is an important task to do to define search and rescue procedures. Many approaches have been proposed to automate this process by using artificial intelligence, some of which use handcrafted ...
Mgs M. Luthfi Ramadhan, Grafika Jati, Wisnu Jatmiko   +2 more
doaj   +1 more source

A Siamese ResNeXt network for predicting carotid intimal thickness of patients with T2DM from fundus images

Frontiers in Endocrinology
ObjectiveTo develop and validate an artificial intelligence diagnostic model based on fundus images for predicting Carotid Intima-Media Thickness (CIMT) in individuals with Type 2 Diabetes Mellitus (T2DM).MethodsIn total, 1236 patients with T2DM who had ...
AJuan Gong, Wanjin Fu, Heng Li, Na Guo, Tianrong Pan   +4 more
doaj   +1 more source

Context-flexible cartography with Siamese topological neural networks

Discover Artificial Intelligence
Cartography is a technique for creating maps, which are graphical representations of spatial information. Traditional cartography involves the creation of geographical data, such as locations of countries, geographical features of mountains, rivers, and ...
Pitoyo Hartono
doaj   +1 more source

DrugRep-HeSiaGraph: When heterogenous siamese neural network meets knowledge graphs for drug repurposing [PDF]

BMC Bioinformatics, 2023
Ghorbanali Z, Zare-Mirakabad F, Salehi N, Akbari M, Masoudi-Nejad A.   +4 more
europepmc   +2 more sources

A siamese neural network model for phase identification in distribution networks

International Journal of Electrical Power & Energy Systems
Distribution system operators (DSOs) often lack high-quality data on low-voltage distribution networks (LVDNs), including the topology and the phase connection of residential customers. The phase connection is essential for phase balancing assessment and
Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara   +3 more
doaj   +1 more source

Signature Verification System using Siamese Neural Networks

International Journal of Advanced Research in Science, Communication and Technology
This paper presents an efficient approach to signature verification and forgery detection using Siamese neural networks algorithm. This research involves training classifiers on a diverse dataset of signatures in different persons. Our method employs vectorization and Euclidean distance classifier for signature classification and detection tasks ...
null Dr. K. M. Shivaprasad, null Madan HS, null K. Harshitha, null K. Nitish Kumar   +3 more
openaire   +1 more source

Learning phase transitions by siamese neural network

Physica A: Statistical Mechanics and its Applications
32 pages, 11 figures, 3 ...
Jianmin Shen, Shiyang Chen, Feiyi Liu, Wei Li, Youju Liu   +4 more
openaire   +2 more sources

ReSimNet: drug response similarity prediction using Siamese neural networks

Bioinformatics, 2019
Abstract Motivation Traditional drug discovery approaches identify a target for a disease and find a compound that binds to the target. In this approach, structures of compounds are considered as the most important features because it is assumed that similar structures will bind to the same target ...
Minji, Jeon, Donghyeon, Park, Jinhyuk, Lee, Hwisang, Jeon, Miyoung, Ko, Sunkyu, Kim, Yonghwa, Choi, Aik-Choon, Tan, Jaewoo, Kang   +8 more
openaire   +2 more sources