Abstract Background and Objective Cerebral stroke has become a significant global public
health issue in recent years. The ideal solution to this concern is to prevent in advance by …

Class imbalance and data incompleteness problems occur simultaneously in many real-
world classification datasets, which negatively affects the training of classifiers. Given an …

The Air Pressure System (APS) is a type of function used in heavy vehicles to assist braking
and gear changing. The APS failure dataset consists of the daily operational sensor data …

This work presents an integrated framework for imputation of missing values and prediction
of class label of unseen samples by using the best features of rule based inductive decision …

This study develops a novel semi-supervised approach for detecting Air Pressure System
(APS) failures in Heavy-Duty Vehicles (HDVs) by exploiting two modern Machine Learning …

In recent years, the latest maintenance modelling techniques that adopt the data-based
method, such as machine learning (ML), have brought about a broad range of useful …

Nowadays machine learning algorithms are being used extensively in industrial
applications. Many a times these algorithms are modified and fine tuned so as to improve …

Missing data are common in industrial sensor readings owing to system updates and
unequal radio-frequency periods. Existing methods addressing missing data through …

In this paper we proposed two strategies, averaging and voting, to implement distributed
classification via the divide and conquer approach. When a data set is too big to be …

Air pressure systems play an essential role in Scania trucks, so that the correct operation of
the braking system and gear shifting system of Scania cars depends on the health of the air …