Alzheimer's disease (AD) is a form of brain disorder that causes functions' loss in a person's
daily activity. Due to the tremendous progress of Alzheimer's patients and the lack of …

Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …

This study presents a novel approach to identifying trolls and toxic content on social media
using deep learning. We developed a machine-learning model capable of detecting toxic …

Introduction Nowadays large data volumes are daily generated at a high rate. Data from
health system, social network, financial, government, marketing, bank transactions as well …

Alzheimer's disease (AD) is a progressive neurological disease considered the most
common form of late-stage dementia. Usually, AD leads to a reduction in brain volume …

Human gait phase recognition is a significant technology for rehabilitation training robot,
human disease diagnosis, artificial prosthesis, and so on. The efficient design of the …

The large volumes of Internet of Things (IoT) data transmission to and from the cloud leads
to one of cloud-centric processing's major drawbacks: latency. Fog computing gives a …

Online food delivery applications have gained significant attention in the metropolitan cities
by diminishing the burden of traveling and waiting time by offering online food delivery …

The continuous global urbanization with rapid and dynamic transitioning in traffic situations
among highly populated cities results in difficulty for data collection and communication …

Rate of penetration (ROP) prediction is critical for the optimization of drilling parameters and
ROP improvement during drilling. However, it is still challenging to accurately predict ROP …