Twitter is a microblogging platform that generates large volumes of data with high velocity.
This daily generation of unbounded and continuous data leads to Big Data streams that …

Distance learning has dramatically increased in recent years because of advanced
technology. In addition, numerous universities had to offer courses in online mode in 2020 …

Online traffic news web sites do not always announce traffic events in areas in real-time.
There is a capability to employ text mining and machine learning techniques on the Twitter …

Ahstract-A crucial and time-sensitive task when any disaster occurs is to rescue victims and
distribute resources to the right groups and locations. This task is challenging in populated …

The ability to accurately estimate crop numbers for various varieties of vegetables makes
crop classification an essential component of agriculture. In order to meet the anticipated …

Driver classification is used recently for vehicle anti-burglary and fake driver accounts based
on driving behavior. Anti-burglary is a challenging problem as it leans on external devices to …

A multiplicative inverse (MI) algorithm is used in several fields, like cryptography algorithms.
There are many MIs, however, these algorithms suffer from using several multiplication and …

Today data are being continuously generated in large volume and high speed from
multitude of heterogeneous sources (eg, Internet of Things, smart cities, social media …

Driver identification is being used lately for vehicle anti-theft and identifying fake driver
accounts based on their driving behaviors. Anti-theft is a challenging problem in vehicle …