Big data of different types, such as texts and images, are rapidly generated from the internet
and other applications. Dealing with this data using traditional methods is not practical since …

In real-world scenarios, identifying the optimal number of clusters in a dataset is a difficult
task due to insufficient knowledge. Therefore, the indispensability of sophisticated automatic …

The transport of freight involves numerous intermediate steps, such as freight consolidation,
truck allocation, and routing, all of which exhibit high day-to-day variability. On the delivery …

With regard to scientific literature reviews, these papers are divided into three major aspects:
traditional and novel clustering algorithms, applications, and problems. This study aimed to …

With the rapid growth and enhancement in technology-based learning platforms, students
generate abundant digital footprints that are useful to mine and analyse their learning …

Clustering techniques have been instrumental in discerning patterns and relationships
within datasets in data analytics and unsupervised machine learning. Traditional clustering …

China may require a long time to transition its power system from a planned one to a
completely competitive market. Priority power generation (PPG), as a special type of power …

Mental health problems are highly prevalent in university populations and have been shown
to impair academic performance, lead to deterioration in relationships and affect future …

The proper operation of a hydropower plant (HPP) imposes the collection and processing of
a huge amount of input data to establish the optimal regimes subject to the technical and …

Data is identified as the fuel of modern society for its versatility of use and effectiveness of
use. In addition, modern businesses are making a decline based on analysis of historical …