You are currently viewing a new version of our website. To view the old version click .

Algorithms, Volume 16, Issue 1

January 2023 - 60 articles

Cover Story: Knowledge graphs (KGs) are becoming more and more prevalent on the web, containing a vast amount of information and requiring tools for their quick understanding. Structural semantic summarization methods primarily exploit the structure of the graph in order to facilitate KGs’ exploration. However, state-of-the-art approaches focus on identifying the most important nodes, usually through a single or just a few centrality measures. SumMER is the first structural summarization technique exploiting machine learning, moving beyond a single centrality measure and effectively combining multiple ones for optimally selecting the most important nodes. Then, those nodes are linked formulating a subgraph out of the original graph, effectively increasing the quality of the generated summaries. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (60)

  • Article
  • Open Access
4 Citations
3,604 Views
18 Pages

16 January 2023

Recently, an extended family of power-divergence measures with two parameters was proposed together with an iterative reconstruction algorithm based on minimization of the divergence measure as an objective function of the reconstructed images for co...

  • Article
  • Open Access
11 Citations
5,264 Views
21 Pages

16 January 2023

Text classification is widely studied in natural language processing (NLP). Deep learning models, including large pre-trained models like BERT and DistilBERT, have achieved impressive results in text classification tasks. However, these models’...

  • Article
  • Open Access
26 Citations
5,357 Views
19 Pages

A Design Concept for a Tourism Recommender System for Regional Development

  • Leyla Gamidullaeva,
  • Alexey Finogeev,
  • Mikhail Kataev and
  • Larisa Bulysheva

16 January 2023

Despite of tourism infrastructure and software, the development of tourism is hampered due to the lack of information support, which encapsulates various aspects of travel implementation. This paper highlights a demand for integrating various approac...

  • Article
  • Open Access
6 Citations
2,894 Views
29 Pages

Extending Process Discovery with Model Complexity Optimization and Cyclic States Identification: Application to Healthcare Processes

  • Liubov O. Elkhovskaya,
  • Alexander D. Kshenin,
  • Marina A. Balakhontceva,
  • Mikhail V. Ionov and
  • Sergey V. Kovalchuk

15 January 2023

Within process mining, discovery techniques make it possible to construct business process models automatically from event logs. However, results often do not achieve a balance between model complexity and fitting accuracy, establishing a need for ma...

  • Article
  • Open Access
13 Citations
3,406 Views
21 Pages

13 January 2023

Numerical methods based on finite element (FE) have proven their efficiency for many years in the thermomechanical simulation of forming processes. Nevertheless, the application of these methods to new materials requires the identification and implem...

  • Article
  • Open Access
6 Citations
2,453 Views
15 Pages

13 January 2023

The classical buck converter is a very common DC–DC converter, which reduces an higher input supply voltage to a lower output load voltage. Replacing the inductor and the capacitor by a transmission line, we obtain a distributed buck converter,...

  • Article
  • Open Access
10 Citations
4,278 Views
15 Pages

12 January 2023

Corrosion is one of the major causes of failure in pipelines for transporting oil and gas products. To mitigate the impact of this problem, organizations perform different maintenance operations, including detecting corrosion, determining corrosion g...

  • Article
  • Open Access
6 Citations
4,367 Views
19 Pages

Investigating Novice Developers’ Code Commenting Trends Using Machine Learning Techniques

  • Tahira Niazi,
  • Teerath Das,
  • Ghufran Ahmed,
  • Syed Muhammad Waqas,
  • Sumra Khan,
  • Suleman Khan,
  • Ahmed Abdelaziz Abdelatif and
  • Shaukat Wasi

12 January 2023

Code comments are considered an efficient way to document the functionality of a particular block of code. Code commenting is a common practice among developers to explain the purpose of the code in order to improve code comprehension and readability...

  • Article
  • Open Access
20 Citations
4,046 Views
20 Pages

Novel MIA-LSTM Deep Learning Hybrid Model with Data Preprocessing for Forecasting of PM2.5

  • Gaurav Narkhede,
  • Anil Hiwale,
  • Bharat Tidke and
  • Chetan Khadse

12 January 2023

Day by day pollution in cities is increasing due to urbanization. One of the biggest challenges posed by the rapid migration of inhabitants into cities is increased air pollution. Sustainable Development Goal 11 indicates that 99 percent of the world...

  • Article
  • Open Access
2 Citations
3,351 Views
18 Pages

12 January 2023

Crowdfunding can simplify the financing process to raise large amounts of money to complete projects for startups. However, improving the success rate has become one of critical issues. To achieve this goal, fundraisers need to create a short video,...

of 6

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Algorithms - ISSN 1999-4893