In the emerging field of Meta Computing, where data collection and integration are essential
components, the threat of adversary hidden link attacks poses a significant challenge to web …

Deaf and hearing-impaired people all around the globe choose to communicate through
sign language. When utilised in a computer vision or other approach, recognition of sign …

To properly predict the security posture of these networks, we provide a method based on
machine learning algorithms to detect the security condition of power information networks …

Convolutional neural networks have been widely used in intrusion detection and proactive
network defense strategies such as network security situation prediction (NSSP). The …

The MANETs differ from traditional networks in a lot of aspects, such as high channel error
rates, unusual channel features, frequent link breaks, and intense link layer contentions …

Lung cancer is a lethal disease that claims numerous lives annually, and early detection is
essential for improving survival rates. Machine learning has shown promise in predicting …

Blockchain and Machine Learning together can be beneficial on a large scale. The greatest
answers for carrying out diverse duties in a smart healthcare system come from combining …

Temporomandibular Joint Disorder (TMD), one of the most chronic muscular disorders
affecting adults and adolescents whose signs and symptoms are complex. It is estimated …

Green computing aims to develop and utilize computer systems in an environmentally
sustainable manner, focusing on reducing energy consumption, minimizing e-waste, and …

Cloud data owners prefer to outsource data because of ease in maintenance. Data
confidentiality of this outsourced sensitive data is a major task. The searchable encryption …