High-quality image compressed sensing and reconstruction with multi-scale dilated convolutional neural network
Deep learning (DL)-based compressed sensing (CS) has been applied for better
performance of image reconstruction than traditional CS methods. However, most existing …
performance of image reconstruction than traditional CS methods. However, most existing …
Fake profile recognition using big data analytics in social media platforms
MJ Awan, MA Khan, ZK Ansari… - International …, 2022 - inderscienceonline.com
Online social media platforms today have many more users than ever before. This increased
fake profiles trends which is harming both social and business entities as fraudsters use …
fake profiles trends which is harming both social and business entities as fraudsters use …
[HTML][HTML] Improved deep convolutional neural network to classify osteoarthritis from anterior cruciate ligament tear using magnetic resonance imaging
Anterior cruciate ligament (ACL) tear is caused by partially or completely torn ACL ligament
in the knee, especially in sportsmen. There is a need to classify the ACL tear before it fully …
in the knee, especially in sportsmen. There is a need to classify the ACL tear before it fully …
Smart healthcare hand gesture recognition using CNN-based detector and deep belief network
Gesture recognition in dynamic images is challenging in computer vision, automation and
medical field. Hand gesture tracking and recognition between both human and computer …
medical field. Hand gesture tracking and recognition between both human and computer …
A mixed perception-based human-robot collaborative maintenance approach driven by augmented reality and online deep reinforcement learning
C Liu, Z Zhang, D Tang, Q Nie, L Zhang… - Robotics and Computer …, 2023 - Elsevier
Owing to the fact that the number and complexity of machines is increasing in Industry 4.0,
the maintenance process is more time-consuming and labor-intensive, which contains …
the maintenance process is more time-consuming and labor-intensive, which contains …
[HTML][HTML] Big data covid-19 systematic literature review: Pandemic crisis
The COVID-19 pandemic has frightened people worldwide, and coronavirus has become
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …
[HTML][HTML] Harris hawks sparse auto-encoder networks for automatic speech recognition system
Automatic speech recognition (ASR) is an effective technique that can convert human
speech into text format or computer actions. ASR systems are widely used in smart …
speech into text format or computer actions. ASR systems are widely used in smart …
American sign language words recognition using spatio-temporal prosodic and angle features: A sequential learning approach
SB Abdullahi, K Chamnongthai - IEEE Access, 2022 - ieeexplore.ieee.org
Most of the available American Sign Language (ASL) words share similar characteristics.
These characteristics are usually during sign trajectory which yields similarity issues and …
These characteristics are usually during sign trajectory which yields similarity issues and …
[HTML][HTML] Fake news data exploration and analytics
Before the internet, people acquired their news from the radio, television, and newspapers.
With the internet, the news moved online, and suddenly, anyone could post information on …
With the internet, the news moved online, and suddenly, anyone could post information on …
Static hand gesture recognition in sign language based on convolutional neural network with feature extraction method using ORB descriptor and Gabor filter
In this paper, a new structure of deep learning neural network is introduced to identify the
static hand gesture in the sign language. The proposed structure includes the convolutional …
static hand gesture in the sign language. The proposed structure includes the convolutional …