Results 1 to 10 of about 20,974 (150)
Automated Bone Marrow Cell Classification for Haematological Disease Diagnosis Using Siamese Neural Network [PDF]
Diagnostics, 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
Fault Diagnosis of Bearings with Small Sample Size Using Improved Capsule Network and Siamese Neural Network [PDF]
SensorsThis 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 +2 more sources
A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments [PDF]
Nature 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
ASNet: Auto-Augmented Siamese Neural Network for Action Recognition. [PDF]
Sensors (Basel), 2021 Human action recognition methods in videos based on deep convolutional neural networks usually use random cropping or its variants for data augmentation. However, this traditional data augmentation approach may generate many non-informative samples (video patches covering only a small part of the foreground or only the background) that are not related ...
Zhang Y +4 more
europepmc +5 more sources
Forensic identification using siamese, transfer learning and custom deep learning models [PDF]
Scientific ReportsForensic 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
MASNET: IMPROVE PERFORMANCE OF SIAMESE NETWORKS WITH MUTUAL-ATTENTION FOR REMOTE SENSING CHANGE DETECTION TASKS [PDF]
ISPRS 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
Roof type classification with innovative machine learning approaches [PDF]
PeerJ Computer Science, 2023 Recently, convolutional neural network-based methods have been used extensively for roof type classification on images taken from space. The most important problem with classification processes using these methods is that it requires a large amount of ...
Naim Ölçer, Didem Ölçer, Emre Sümer
doaj +2 more sources
An Explanation Method for Siamese Neural Networks [PDF]
, 2021 International Scientific Conference Telecommunications, Computing and Control (TELECCON-2019)
Utkin, Lev V. +2 more
openaire +2 more sources
IEEE 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 +1 more source
IEEE 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 +1 more source