Clustering algorithms have become one of the most critical research areas in multiple
domains, especially data mining. However, with the massive growth of big data applications …

In our digital age, data are generated constantly from public and private sources, social
media platforms, and the Internet of Things. A significant portion of this information comes in …

At the present world, one of the main sources of the news is an online platform like different
websites and social media ie Facebook, Twitter, Linkedin, Youtube, Instagram and so on …

The paper provides the analysis of fuel and energy transition in households sector and its
sustainable development in the period 2004–2019. The main purpose of the paper is to …

Clustering is a central topic in unsupervised learning and its online formulation has received
a lot of attention in recent years. In this paper, we study the classic facility location problem in …

Nonnegative matrix factorization (NMF) based multiview technique has been commonly
used in multiview data clustering tasks. However, previous NMF based multiview clustering …

Unsupervised/self-supervised graph neural networks (GNN) are susceptible to the inherent
randomness in the input graph data, which adversely affects the model's performance in …

Despite achieving accuracies higher than 90% on recognizing upper-limb movements
through sEMG (surface Electromyography) signal with the state of art classifiers in the …

Environmental sensors are utilized to collect real-time data that can be viewed and
interpreted using a visual format supported by a server. Machine learning (ML) methods, on …

Diarization is an important task when work with audiodata is executed, as it provides a
solution to the problem related to the need of dividing one analyzed call recording into …