People lose their lives every day due to road traffic crashes. The problem is so humongous
globally that the World Health Organization, in its Sustainable Development Agenda 2030, is …

Data mining within the databases is called a technique from which the extraction of
necessary information can be done from the raw information. With the help of the prediction …

Living and working in comfort while a building's energy consumption is kept under control
requires monitoring a system's consumption to optimize the energy performance. The way …

The goal of this paper is to use the unsupervised machine learning method in road accident
analytics, especially using k-means clustering to identify patterns and understand the …

Insufficient progress in the development of national highways and state highways, coupled
with a lack of public awareness regarding road safety, has resulted in prevalent traffic …

Road traffic safety is a matter of crucial concern for the government as well as citizens.
Despite all the measures taken to promote road traffic safety in India, there are a lot of …

Many online shopping users convey an assessment of a product through status comments.
Comments indicate a non-standard form of expression. Nowadays, user comments are …

At present, intrusion detection system (IDS) focuses on classifying the network traffic
individually and may overlook underlying correlation among adjacent attack behaviors. This …

In response to the rising number of vehicles and corresponding increase in road accidents
within urban environments, this study introduces a hybrid approach that combines clustering …

Nowadays, road safety has become an important issue in the urban areas due to the high
vehicle density. Road safety can be improved by reducing the accidents. Road accident …