Background and objectives Skin conditions in humans can be challenging to diagnose. Skin
cancer manifests itself without warning. In the future, these illnesses, which have been an …

Ensemble clustering has emerged as a combination of several basic clustering algorithms to
achieve high quality final clustering. However, this technique is challenging due to the …

The deep learning model constituting two neural network models (ie, densely connected
and long short-term memory) has been applied for automatic characterization of dual …

The number of Internet of Things (IoT)-based applications is constantly increasing, and
transferring all their associated data to a remote centralized cloud requires more latency …

This study configures an architecture based on Deep Reinforcement Learning (DRL) with
the aim of providing online services to end users in Mobile Edge Computing (MEC) …

An extremely high number of geographically dispersed, energy-limited sensor nodes make
up wireless sensor networks. One of the critical difficulties with these networks is their …

Lung Cancer is one of the primary causes of cancer-related deaths worldwide. Timely
diagnosis and precise staging are pivotal for treatment planning, and thus can lead to …

The current literature on public perceptions of autonomous vehicles focuses on potential
users and the target market. However, autonomous vehicles need to operate in a mixed …

Due to the advanced technologies related to Internet of Things (IoT), fog computing
becomes an emerging distributed computing model for supporting the functionalities of the …

A rural built-up area is one of the most important features of rural regions. Rapid and
accurate extraction of rural built-up areas has great significance to rural planning and …