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Pose-invariant face recognition with multitask cascade networks
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
In this work, a face recognition method is proposed for face under pose variations using a multitask convolutional neural network (CNN). Furthermore, a pose estimation method followed by a face identification module is ...
LFR face dataset:Left-Front-Right dataset for pose-invariant face recognition in the wild
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
In this work, a new multitask convolutional neural network (CNN) is proposed aiming for the recognition of face under pose variations. Furthermore, the combination of pose estimation for each corresponding pose in a separate ...
Gait recognition for person re-identification
(
Springer
, 2021 , Article)
Person re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes. Gait recognition, which is the recognition based on the ...
1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
(
Elsevier B.V.
, 2018 , Article)
Structural damage detection has been an interdisciplinary area of interest for various engineering fields. While the available damage detection methods have been in the process of adapting machine learning concepts, most ...
COVID-19 infection localization and severity grading from chest X-ray images
(
Elsevier Ltd
, 2021 , Article)
The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ...
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
(
Springer
, 2022 , Article)
Novel coronavirus disease (COVID-19) is an extremely contagious and quickly spreading coronavirus infestation. Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which outbreak in 2002 ...
AI-based Intrusion Detection for Intelligence Internet of Vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With the development of intelligent technologies, Internet of Things (IoT) opens up a new era in the field of automotive networks, namely Internet of Vehicles (IoV). The main goal of IoV is to provide a secure and reliable ...
Complexity of Deep Convolutional Neural Networks in Mobile Computing
(
Hindawi
, 2020 , Article)
Neural networks employ massive interconnection of simple computing units called neurons to compute the problems that are highly nonlinear and could not be hard coded into a program. These neural networks are computation-intensive, ...
Leveraging known data for missing label prediction in cultural heritage context
(
MDPI AG
, 2018 , Article)
Cultural heritage represents a reliable medium for history and knowledge transfer. Cultural heritage assets are often exhibited in museums and heritage sites all over the world. However, many assets are poorly labeled, ...
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ...