Results 1 to 10 of about 20,816 (168)

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, Xing-Ming Zhao, Luis Pedro Coelho   +2 more
exaly   +3 more sources

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, Ayesha Shaik, Shivam Akhouri, Paras Garg, Vaibhav Gadag, Muthu Subash Kavitha   +5 more
doaj   +2 more sources

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

Sensors
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, Yang Xiao, Chao He, Luhui Lv, Wenhao Wang   +4 more
doaj   +2 more sources

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

Npj Digital Medicine, 2020
Using medical images to evaluate disease severity and change over time is a routine and important task in clinical decision making. Grading systems are often used, but are unreliable as domain experts disagree on disease severity category thresholds ...
Matthew D Li, Ken Chang, Connie Y Chang
exaly   +2 more sources

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

Scientific 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, Mehrube Mehrubeoglu, Abdullah Asım Yılmaz, Sharon Derrick   +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, H. Zhou, Y. Ren, Y. Ren, Q. Li, J. Yin, Y. Lin   +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

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

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

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

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, Tianzhi Zhu, Yiyang Zhou, Mengxue Zhang   +3 more
doaj   +1 more source

Using a lightweight Siamese neural network for generating a feature vector in a vascular authentication system

Компьютерная оптика, 2023
The article analyzes the possibility of using a Siamese convolutional neural network to solve the problem of vascular authentication on an embedded hardware platform with limited computing resources (Orange Pi One).
D.E. Prozorov, A.V. Zemtsov
doaj   +1 more source