Results 1 to 10 of about 21,191 (172)

Fault Diagnosis of Bearings with Small Sample Size Using Improved Capsule Network and Siamese Neural Network [PDF]

open access: yesSensors
This paper addresses the challenges of low accuracy and long transfer learning time in small-sample bearing fault diagnosis, which are often caused by limited samples, high noise levels, and poor feature extraction.
Jarula Yasenjiang   +4 more
doaj   +4 more sources

Automated Bone Marrow Cell Classification for Haematological Disease Diagnosis Using Siamese Neural Network [PDF]

open access: yesDiagnostics, 2022
The critical structure and nature of different bone marrow cells which form a base in the diagnosis of haematological ailments requires a high-grade classification which is a very prolonged approach and accounts for human error if performed manually ...
Balasundaram Ananthakrishnan   +5 more
doaj   +2 more sources

Cooperative Use of Recurrent Neural Network and Siamese Region Proposal Network for Robust Visual Tracking

open access: yesIEEE Access, 2021
In order to solve the problems of unbalanced sample data and the lack of consideration of temporal information in existing Siamese-based trackers, this paper proposes a Siamese recurrent neural network and region proposal network (Siamese R-RPN), which ...
Xuechen Zhao, Yaoming Liu, Guang Han
doaj   +3 more sources

Bag-of-Features-Driven Spectral-Spatial Siamese Neural Network for Hyperspectral Image Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Deep learning (DL) exhibits commendable performance in hyperspectral image (HSI) classification because of its powerful feature expression ability. Siamese neural network further improves the performance of DL models by learning similarities within-class
Zhaohui Xue   +3 more
doaj   +3 more sources

A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments [PDF]

open access: yesNature Communications, 2022
Here, the authors present SemiBin, a siamese deep neural network framework that incorporates information from reference genomes, able to extract better metagenome-assembled genomes (MAGs) in several host-associated and environmental habitats.
Shaojun Pan   +3 more
doaj   +2 more sources

Siamese neural network architecture for homoglyph attacks detection

open access: yesICT Express, 2020
Primarily an adversary uses homoglyph or spoofing attack approach to obfuscate domain name, file name or process names. This approach facilitates to create domain name, file name or process names which look visually homogeneous to legitimate domain name,
Vinayakumar R., Soman K.P.
doaj   +2 more sources

Forensic identification using siamese, transfer learning and custom deep learning models [PDF]

open access: yesScientific Reports
Forensic identification from human skulls plays a crucial role in forensic anthropology, providing critical insights into the determination of sex, ancestry, and other important characteristics of unidentified human remains.
Omer Sevinc   +3 more
doaj   +2 more sources

Context-flexible cartography with Siamese topological neural networks

open access: yesDiscover 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   +2 more sources

MASNET: IMPROVE PERFORMANCE OF SIAMESE NETWORKS WITH MUTUAL-ATTENTION FOR REMOTE SENSING CHANGE DETECTION TASKS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Siamese networks are widely used for remote sensing change detection tasks. A vanilla siamese network has two identical feature extraction branches which share weights, these two branches work independently and the feature maps are not fused until about ...
H. Zhou   +6 more
doaj   +1 more source

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