These days, cloud systems and the Internet of Things (IoT) are extensively used in a variety
of medical services. Instead of relying on the limited storage and processing power found in …

Machine learning has become an increasingly popular tool for solving facility location
problems, which involve determining the optimal location for one or more facilities such as …

The applications of wireless local area networks (WLAN's) are highly accepted by mobile
terminals (MT's) due to their high transmission bandwidth and reduced costs. However, in …

The rapidly growing technology specially in the field of software, Machine Learning (ML) has
played an important role in a range of tasks, including voice, video, and computer vision. It is …

This paper extends classical network calculus to spatial scenarios, adapting it to manage the
spatial distribution of links in wireless device-to-device networks. Considering the wireless …

The medical field and other research areas fields heavily rely on artificial intelligence (AI)
and machine learning (ML). Hand gesture recognition (HGR), which is a straightforward …

Heart patients are increasing in number on a daily basis, and each year in every region of
the globe, a significant number of people lose their lives unexpectedly as a result of sudden …

This paper extends the classical network calculus to spatial scenarios, focusing on wireless
networks with heterogeneous traffic and varying transmit power levels. Building on spatial …

Recently years have seen a significant increase in research on visual identification issues
including identification, aging, sexuality, & expression identification. This same classification …

In this paper, a random deep convolutional neural network-based technique for extracting
image features is devised and put into practice. The image features are also richer following …