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

Computers, Volume 13, Issue 1

January 2024 - 31 articles

Cover Story: Automatic data fusion is an important field of machine learning that has been increasingly studied. The objective is to improve the classification performance from several individual classifiers in terms of result accuracy and stability. The fusion step can be applied at early and/or late stages of the classification procedure. Early fusion consists of combining features from different sources or domains before training the individual classifiers. In turn, late fusion combines the results from the individual classifiers after testing. Late fusion has two setups, combination of posterior probabilities (soft fusion) and combination of decisions (hard fusion). A theoretical analysis of the conditions for applying early and late fusion and a study on recent data fusion methods are provided. 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 (31)

  • Article
  • Open Access
2 Citations
2,693 Views
23 Pages

In the dynamic landscape of vehicular communication systems, connected vehicles (CVs) present unprecedented capabilities in perception, cooperation, and, notably, probability of collision management. This paper’s main concern is the collision p...

  • Article
  • Open Access
4 Citations
3,938 Views
37 Pages

Forecasting of Bitcoin Illiquidity Using High-Dimensional and Textual Features

  • Faraz Sasani,
  • Mohammad Moghareh Dehkordi,
  • Zahra Ebrahimi,
  • Hakimeh Dustmohammadloo,
  • Parisa Bouzari,
  • Pejman Ebrahimi,
  • Enikő Lencsés and
  • Mária Fekete-Farkas

Liquidity is the ease of converting an asset (physical/digital) into cash or another asset without loss and is shown by the relationship between the time scale and the price scale of an investment. This article examines the illiquidity of Bitcoin (BT...

  • Article
  • Open Access
2 Citations
2,714 Views
35 Pages

Faraway, so Close: Perceptions of the Metaverse on the Edge of Madness

  • Mónica Cruz,
  • Abílio Oliveira and
  • Alessandro Pinheiro

With the evolution of technologies, virtual reality allows us to dive into cyberspace through different devices and have immersive experiences in different contexts, which, in a simple way, we call virtual worlds or multiverse (integrating Metaverse...

  • Article
  • Open Access
2 Citations
2,888 Views
18 Pages

Many data mining studies have focused on mining positive associations among frequent and regular item sets. However, none have considered time and regularity bearing in mind such associations. The frequent and regular item sets will be huge, even whe...

  • Article
  • Open Access
6 Citations
4,031 Views
17 Pages

In a continuously evolving environment, organizations, including public administrations, need to quickly adapt to change and make decisions in real-time. This requires having a real-time understanding of their context that can be achieved by adopting...

  • Article
  • Open Access
7 Citations
2,422 Views
20 Pages

A Multi-Channel Packet Scheduling Approach to Improving Video Delivery Performance in Vehicular Networks

  • Pedro Pablo Garrido Abenza,
  • Manuel P. Malumbres,
  • Pablo Piñol and
  • Otoniel López-Granado

When working with the Wireless Access in Vehicular Environment (WAVE) protocol stack, the multi-channel operation mechanism of the IEEE 1609.4 protocol may impact the overall network performance, especially when using video streaming applications. In...

  • Correction
  • Open Access
1 Citations
1,908 Views
2 Pages

Figure 1 was reproduced without the correct copyright permissions from the copyright holder (Medical Sciences) [...]

  • Article
  • Open Access
11 Citations
9,353 Views
25 Pages

Blockchain-Powered Gaming: Bridging Entertainment with Serious Game Objectives

  • Dimitrios Stamatakis,
  • Dimitrios G. Kogias,
  • Pericles Papadopoulos,
  • Panagiotis A. Karkazis and
  • Helen C. Leligou

The advancement and acceptance of new technologies often hinges on the level of understanding and trust among potential users. Blockchain technology, despite its broad applications across diverse sectors, is often met with skepticism due to a general...

  • Article
  • Open Access
20 Citations
6,606 Views
21 Pages

A Comparative Study on Recent Automatic Data Fusion Methods

  • Luis Manuel Pereira,
  • Addisson Salazar and
  • Luis Vergara

30 December 2023

Automatic data fusion is an important field of machine learning that has been increasingly studied. The objective is to improve the classification performance from several individual classifiers in terms of accuracy and stability of the results. This...

  • Article
  • Open Access
1 Citations
3,029 Views
19 Pages

A Robust Timing Synchronization Algorithm Based on PSSS for LTE-V2X

  • Ju Zhang,
  • Bin Chen,
  • Jiahui Qiu,
  • Lingfan Zhuang,
  • Zhiyuan Wang and
  • Liu Liu

30 December 2023

In recent years, Long-Term Evolution Vehicle-to-Everything (LTE-V2X) communication technology has received extensive attention. Timing synchronization is a crucial step in the receiving process, addressing Timing Offsets (TOs) resulting from random p...

of 4

Get Alerted

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

XFacebookLinkedIn
Computers - ISSN 2073-431X