The class imbalance problem occurs when the classification results show that there is a
class with a much larger number of instances than the other classes. This raises the issue of …

As a promising edge learning framework in future 6G networks, federated learning (FL)
faces a number of technical challenges due to the heterogeneous network environment and …

Decision-making on conditions that involve many alternatives, many criteria, and many
judgments is a difficult thing to do. The difficulty is coupled with assessors who sometimes …

This paper studies the data imbalance issue in federated learning. We propose a new model
aggregation method based on adaptive clustering, called weighted clustered federated …

Background Vitamin K antagonist (warfarin) is the most classical and widely used oral
anticoagulant with assuring anticoagulant effect, wide clinical indications and low price …

Measurement of the efficiency of the university performance. Data Envelopment Analysis
(DEA) is a data-based performance evaluation method used when multiple inputs and …

Many conventional optimization approaches concentrate more on addressing only one
appropriate solution. Thus, these methods were to be utilized often, hence there were no …

Aspect category detection (ACD) is a pivotal subtask within the field of sentiment analysis in
natural language processing, aiming to identify implicit aspect category information in online …

Data collected by PLN staff on customer's complaints in the usage of electricity are very
huge and accumulate. Previously, there was no information about these kinds of complaints …

In a large-scale data center, it is vital to precisely recognize the termination statuses of
applications at an early stage. In recent years, many machine learning techniques have …