A review on the attention mechanism of deep learning
Attention has arguably become one of the most important concepts in the deep learning
field. It is inspired by the biological systems of humans that tend to focus on the distinctive …
field. It is inspired by the biological systems of humans that tend to focus on the distinctive …
Deep multi-view learning methods: A review
Multi-view learning (MVL) has attracted increasing attention and achieved great practical
success by exploiting complementary information of multiple features or modalities …
success by exploiting complementary information of multiple features or modalities …
A dynamic neighborhood-based switching particle swarm optimization algorithm
In this article, a dynamic-neighborhood-based switching PSO (DNSPSO) algorithm is
proposed, where a new velocity updating mechanism is designed to adjust the personal …
proposed, where a new velocity updating mechanism is designed to adjust the personal …
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images
The Covid-19 pandemic is the defining global health crisis of our time. Chest X-Rays (CXR)
have been an important imaging modality for assisting in the diagnosis and management of …
have been an important imaging modality for assisting in the diagnosis and management of …
[HTML][HTML] Swin transformer for fast MRI
Magnetic resonance imaging (MRI) is an important non-invasive clinical tool that can
produce high-resolution and reproducible images. However, a long scanning time is …
produce high-resolution and reproducible images. However, a long scanning time is …
Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning
Tuberculosis (TB) caused by Mycobacterium tuberculosis is a contagious disease which is
among the top deadly diseases in the world. Research in Medical Imaging has been done to …
among the top deadly diseases in the world. Research in Medical Imaging has been done to …
A novel IoT network intrusion detection approach based on adaptive particle swarm optimization convolutional neural network
X Kan, Y Fan, Z Fang, L Cao, NN Xiong, D Yang… - Information Sciences, 2021 - Elsevier
In the field of network security, it is of great significance to accurately detect various types of
Internet of Things (IoT) network intrusion attacks which launched by the attacker-controlled …
Internet of Things (IoT) network intrusion attacks which launched by the attacker-controlled …
Particle filters: A hands-on tutorial
The particle filter was popularized in the early 1990s and has been used for solving
estimation problems ever since. The standard algorithm can be understood and …
estimation problems ever since. The standard algorithm can be understood and …
Adaptively learning facial expression representation via cf labels and distillation
Facial expression recognition is of significant importance in criminal investigation and digital
entertainment. Under unconstrained conditions, existing expression datasets are highly …
entertainment. Under unconstrained conditions, existing expression datasets are highly …
A survey on parameter identification, state estimation and data analytics for lateral flow immunoassay: from systems science perspective
Lateral flow immunoassay (LFIA), as a well-known point-of-care testing (POCT) technique, is
of vital significance in a variety of application scenarios due to the advantages of …
of vital significance in a variety of application scenarios due to the advantages of …