Laser powder bed fusion (LPBF) as one of the most promising additive manufacturing (AM)
technologies, has been widely used to produce metal parts and applied in fields such as …

Hate speech and offensive content are deliberate attacks directed at a group or society
based on their characteristics like religion, gender, or race, and pose a threat to society. The …

In cardiology, as in other medical specialties, early and accurate diagnosis of heart disease
is crucial as it has been the leading cause of death over the past few decades. Early …

In recent years, the use of Chatbots has grown significantly in various industries, including
support systems, education, health care, tourism, entertainment, and banking. Chatbot for …

In many fields, like aspect category detection (ACD) in aspect‐based sentiment analysis, it is
necessary to label each instance with more than one label at the same time. This study …

In this study, we apply two classification algorithm methods, namely the Gaussian naïve
Bayes (GNB) and the decision tree (DT) classifiers. The Gaussian naïve Bayes classifier is a …

The graded multi-label classification (GMLC) is an extension of multi-label classification.
Whilst a multilabel classifier is limited to predicting the set of relevant labels, a graded multi …

Inducing a model capable of predicting a set of labels for an instance is the objective of multi-
label classification, a supervised predictive machine learning task. Work in the literature has …

Lately, there has been a phenomenal surge in Hostile Online Content (HOC). The detection
and classification of HOC on Online Social Platforms (OSPs) are becoming an important …

The rapid advancement of smart technologies has revolutionized the field of education,
particularly in the realm of e-learning. This research paper delves into the profound …