Imbalanced binary classification is a common problem in many real-world applications and
reduces the performance of machine learning algorithms in classifying minority class …

The increasing photovoltaic (PV) installations and their integration with the utilities have
complexed the operation of the power system network making them vulnerable to various …

The scientific community has recently shown a lot of interest in biometric-based person
recognition systems. It is a dynamic technology that tries to recognize biometrics …

Taguchi's T-method is a new prediction technique under the Mahalanobis-Taguchi system to
predict unknown output or future states based on available historical information …

Background Brain tumor is a grave illness causing worldwide fatalities. The current detection
methods for brain tumors are manual, invasive, and rely on histopathological analysis …

Abstract Educational Data Mining is an interdisciplinary field that helps understand
educational phenomena through computational techniques. The databases of educational …

Software development would have to include automated testing to ensure the finished
product and performs as intended. However, the process of test case generation and …

Recent developments in the field of emerging technologies including Artificial Intelligence
and Machine Learning have led to wide interest in designing and developing innovative …

The main task of a network is to hold and transfer data between its nodes. To achieve this
task, the network needs to find the optimal route for data to travel by employing a particular …

The production of fake news were practiced even before the advent of the internet. However,
with the development of the internet and traditional media giving way to social media, the …