Vision Transformers in medical computer vision—A contemplative retrospection
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …
contained within images, have evolved as one of the most contemporary and dominant …
Demystifying supervised learning in healthcare 4.0: A new reality of transforming diagnostic medicine
The global healthcare sector continues to grow rapidly and is reflected as one of the fastest-
growing sectors in the fourth industrial revolution (4.0). The majority of the healthcare …
growing sectors in the fourth industrial revolution (4.0). The majority of the healthcare …
Real-time hand gesture recognition based on deep learning YOLOv3 model
Using gestures can help people with certain disabilities in communicating with other people.
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …
Real-time DDoS attack detection system using big data approach
Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …
Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization
Manual diagnosis of skin cancer is time-consuming and expensive; therefore, it is essential
to develop automated diagnostics methods with the ability to classify multiclass skin lesions …
to develop automated diagnostics methods with the ability to classify multiclass skin lesions …
Image-based malware classification using VGG19 network and spatial convolutional attention
In recent years the amount of malware spreading through the internet and infecting
computers and other communication devices has tremendously increased. To date …
computers and other communication devices has tremendously increased. To date …
Skin lesion segmentation based on vision transformers and convolutional neural networks—a comparative study
Melanoma skin cancer is considered as one of the most common diseases in the world.
Detecting such diseases at early stage is important to saving lives. During medical …
Detecting such diseases at early stage is important to saving lives. During medical …
Blockchain-based IoT devices in supply chain management: a systematic literature review
Through recent progress, the forms of modern supply chains have evolved into complex
networks. The supply chain management systems face a variety of challenges. These …
networks. The supply chain management systems face a variety of challenges. These …
Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)
The Internet of Things (IoT) plays a crucial role in various sectors such as automobiles and
the logistic tracking medical field because it consists of distributed nodes, servers, and …
the logistic tracking medical field because it consists of distributed nodes, servers, and …
[HTML][HTML] Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …