Results 61 to 70 of about 5,431 (217)

AISMSNet: Advanced Image Splicing Manipulation Identification Based on Siamese Networks

open access: yesApplied Sciences
The exponential surge in specialized image editing software has intensified visual forgery, with splicing attacks emerging as a popular forgery technique.
Ana Elena Ramirez-Rodriguez   +4 more
doaj   +1 more source

A Siamese Network Based U-Net for Change Detection in High Resolution Remote Sensing Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Remote sensing image change detection (RSICD) is a technique that explores the change of surface coverage in a certain time series by studying the difference between multiple remote sensing images (RSIs) collected over the same area.
Tao Chen   +5 more
doaj   +1 more source

Inter-Individual Variability in Brain Function Captured by a Siamese Neural Network

open access: yes, 2021
Neuroscience has focused on group differences for a long time. However, individual variability can be important for explaining and predicting brain disorders and age-related changes.
Waelbers, Bea
core  

Ag/Ag2S Nanoparticle‐Based In‐Materio Lightweight Cryptographic System for IoT Edge Security

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a nanomaterial‐based in materio encryption method that directly transforms analog signals through nonlinear Ag/Ag2S nanoparticle networks. By exploiting the inherently nonuniform characteristics that arise from random arrangement of nanoparticles as a unique security key, the approach produces highly complex encrypted waveforms ...
Hiroki Tabata   +7 more
wiley   +1 more source

A Global Prospective Harmonization Framework for Suicidality, Anhedonia, and Obsessive‐Compulsive Symptoms in Psychiatric Genetic Studies: A Cross‐Continental Study Within the Ancestral Population Network

open access: yesAmerican Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT This study aims to prospectively collect harmonized, quantitative, and dimensional psychiatric phenotypes (suicidality, anhedonia, and obsessive‐compulsive symptoms) and information on discrimination, stigma, and unfair treatment in up to 27,500 individuals across diverse ancestries and clinical populations for genetic analysis within the NIMH
Ana M. Diaz‐Zuluaga   +36 more
wiley   +1 more source

Sketch-based image retrieval via Siamese convolutional neural network

open access: yes, 2016
Sketch-based image retrieval (SBIR) is a challenging task due to the ambiguity inherent in sketches when compared with photos. In this paper, we propose a novel convolutional neural network based on Siamese network for SBIR.
Yi-Zhe Song   +7 more
core   +1 more source

Siamese Neural Network for unstructured data linkage

open access: yes, 2021
Data integration is one of the key problems in the era of Big Data analytics. The key challenge of data integration is the identification of records representing the same entities (e.g. person). This task is referred to as Record Linkage.
Jurek-Loughrey, Anna   +1 more
core   +1 more source

Segmental composition and nerve distribution of the brachial plexus in Galictis cuja

open access: yesThe Anatomical Record, EarlyView.
Abstract Galictis cuja is a neotropical mustelid with terrestrial locomotor habits, yet the anatomy of its brachial plexus has remained undescribed. This study characterizes the origin, organization, and distribution of the brachial plexus nerves in 15 adult specimens (30 antimeres).
Natan da Cruz de Carvalho   +6 more
wiley   +1 more source

Siamese tracking combing frequency channel attention with adaptive template

open access: yesIET Communications, 2021
Siamese network based the tracker is a hot topic in the field of visual object tracking. However, Siamese trackers still have a robustness gap compared with state‐of‐the‐art algorithms. Therefore, focusing on the issue, this letter adds Frequency Channel
Haibo Pang   +4 more
doaj   +1 more source

Assessing similarities between spatial point patterns with a Siamese neural network discriminant model

open access: yes, 2023
Identifying structural differences among observed point patterns from several populations is of interest in several applications. We use deep convolutional neural networks and employ a Siamese framework to build a discriminant model for distinguishing ...
Jalilian, Abdollah, Mateu, Jorge
core   +1 more source

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