Your shopping cart is empty!
Hi there! Click one of our representatives below and we will get back to you as soon as possible.
Product Compare (0)
Time-series forecasting is applied to many
areas of smart factories, including machine health monit..
Driver fatigue is a significant factor in a large number of vehicle accidents. Thus, driver drowsine..
Contribution: This article uses student semester
grade point average (GPA) as a measure of student ..
The Internet of Things (IoT) is a group of millions
of devices having sensors and actuators linked ..
Distributed denial of service (DDoS) attacks remain
challenging to mitigate in existing systems, in..
Business closure is a critical stage in the lifecycle of
any business. Despite a body of literature..
In December 2019, a pandemic named COVID-19
broke out in Wuhan, China, and in a few weeks, it sprea..
This paper presents a deep residual network for improving time-series forecasting models, indispensa..
Depression is a common reason for an increase in
suicide cases worldwide. Thus, to mitigate the eff..
Automatic disease inference is of importance to bridge the gap between what online health seekers wi..
The successful development of amyloidbased biomarkers and tests for Alzheimer’s disease (AD)
Ethanol is a biofuel widely consumed in Brazil, which
functions as a substitute for gasoline since ..
Smart grids rely on SCADA (Supervisory Control
and Data Acquisition) systems to monitor and control..
Deep Learning (DL) is an efficient method for botnet
attack detection. However, the volume of netwo..