Current water quality monitoring system is a manual system with a monotonous process and
is very time-consuming. This paper proposes a sensor-based water quality monitoring …

The belief rule-base (BRB) model is a new intelligent expert system with the characteristics
of both expert system and data-driven model. In BRB there are many if-then rules which use …

Now-a-days, the natural irrigation system is under pressure due to the growing water
shortages, which are mainly caused by population growth and climate change. Therefore …

Detecting emotion from facial expression has become an urgent need because of its
immense applications in artificial intelligence such as human-computer collaboration, data …

This paper proposes a process of Handwritten Character Recognition to recognize and
convert images of individual Bangla handwritten characters into electronically editable …

With increasing electronic medical data and the development of artificial intelligence, clinical
decision support systems (CDSSs) assist clinicians in diagnosis and prescription. Traditional …

A novel coronavirus (COVID-19), which has become a great concern for the world, was
identified first in Wuhan city in China. The rapid spread throughout the world was …

Sensor data are gaining increasing global attention due to the advent of Internet of Things
(IoT). Reasoning is applied on such sensor data in order to compute prediction. Generating …

Alzheimer's disease (AD) is a progressive and irreversible neurological disorder that affects
millions of people worldwide. Early detection and accurate diagnosis of AD are crucial for …

Accurate monitoring of air quality can reduce its adverse impact on earth. Ground-level
sensors can provide fine particulate matter (PM 2.5) concentrations and ground images. But …