Skip to Content
You are currently on the new version of our website. Access the old version .

Computers, Volume 13, Issue 1

2024 January - 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
82 Citations
17,468 Views
18 Pages

Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model

  • Muhammad Asad Arshed,
  • Shahzad Mumtaz,
  • Muhammad Ibrahim,
  • Christine Dewi and ,
  • Muhammad Tanveer and
  • Saeed Ahmed
  • + 1 author+ 0 author

21 January 2024

In response to the rapid advancements in facial manipulation technologies, particularly facilitated by Generative Adversarial Networks (GANs) and Stable Diffusion-based methods, this paper explores the critical issue of deepfake content creation. The...

(This article belongs to the Special Issue Current Issue and Future Directions in Multimedia Hiding and Signal Processing)
  • Article
  • Open Access
5 Citations
2,878 Views
18 Pages

21 January 2024

This study introduces a novel approach to address challenges in workpiece surface defect identification. It presents an enhanced Single Shot MultiBox Detector model, incorporating attention mechanisms and multi-feature fusion. The research methodolog...

  • Article
  • Open Access
6 Citations
3,705 Views
15 Pages

21 January 2024

Electromyography-based wearable biosensors are used for prosthetic control. Machine learning prosthetic controllers are based on classification and regression models. The advantage of the regression approach is that it permits us to obtain a smoother...

(This article belongs to the Special Issue Uncertainty-Aware Artificial Intelligence)
  • Article
  • Open Access
16 Citations
7,879 Views
29 Pages

18 January 2024

The requirement to develop a smart education system is critical in the era of ubiquitous technology. In the smart education environment, intelligent pedagogies are constructed to take advantage of technological devices and foster learners’ comp...

(This article belongs to the Special Issue Recent Advances in Computer-Assisted Learning)
  • Review
  • Open Access
124 Citations
42,334 Views
42 Pages

17 January 2024

The Internet’s expansion has changed how the services accessed and businesses operate. Blockchain is an innovative technology that emerged after the rise of the Internet. In addition, it maintains transactions on encrypted databases that are distribu...

(This article belongs to the Special Issue Blockchain Technology—a Breakthrough Innovation for Modern Industries)
  • Article
  • Open Access
11 Citations
5,913 Views
14 Pages

Development of a New Post-Quantum Digital Signature Algorithm: Syrga-1

  • Kunbolat Algazy,
  • Kairat Sakan,
  • Ardabek Khompysh and
  • Dilmukhanbet Dyusenbayev

16 January 2024

The distinguishing feature of hash-based algorithms is their high confidence in security. When designing electronic signature schemes, proofs of security reduction to certain properties of cryptographic hash functions are used. This means that if the...

  • Review
  • Open Access
39 Citations
5,973 Views
19 Pages

Securing Mobile Edge Computing Using Hybrid Deep Learning Method

  • Olusola Adeniyi,
  • Ali Safaa Sadiq,
  • Prashant Pillai,
  • Mohammad Aljaidi and
  • Omprakash Kaiwartya

16 January 2024

In recent years, Mobile Edge Computing (MEC) has revolutionized the landscape of the telecommunication industry by offering low-latency, high-bandwidth, and real-time processing. With this advancement comes a broad range of security challenges, the m...

  • Article
  • Open Access
29 Citations
7,833 Views
23 Pages

Augmented Reality Escape Classroom Game for Deep and Meaningful English Language Learning

  • Angeliki Voreopoulou,
  • Stylianos Mystakidis and
  • Avgoustos Tsinakos

16 January 2024

A significant volume of literature has extensively reported on and presented the benefits of employing escape classroom games (ECGs), on one hand, and on augmented reality (AR) in English language learning, on the other. However, there is little evid...

  • Article
  • Open Access
13 Citations
3,708 Views
12 Pages

Cloud-Based Infrastructure and DevOps for Energy Fault Detection in Smart Buildings

  • Kaleb Horvath,
  • Mohamed Riduan Abid,
  • Thomas Merino,
  • Ryan Zimmerman and ,
  • Yesem Peker and
  • Shamim Khan
  • + 1 author+ 0 author

16 January 2024

We have designed a real-world smart building energy fault detection (SBFD) system on a cloud-based Databricks workspace, a high-performance computing (HPC) environment for big-data-intensive applications powered by Apache Spark. By avoiding a Smart B...

(This article belongs to the Special Issue Sensors and Smart Cities 2023)
  • Article
  • Open Access
2 Citations
3,731 Views
14 Pages

11 January 2024

With the evolution of software systems, their size and complexity are rising rapidly. Identifying vulnerabilities as early as possible is crucial for ensuring high software quality and security. Just-in-time (JIT) vulnerability prediction, which aims...

(This article belongs to the Special Issue Selected Papers from the 23rd International Conference on Computational Science and Its Applications (ICCSA 2023))
  • Article
  • Open Access
3 Citations
3,845 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
7 Citations
5,458 Views
37 Pages

Forecasting of Bitcoin Illiquidity Using High-Dimensional and Textual Features

  • Faraz Sasani,
  • Mohammad Moghareh Dehkordi,
  • Zahra Ebrahimi,
  • Hakimeh Dustmohammadloo and ,
  • Parisa Bouzari,
  • Pejman Ebrahimi,
  • Enikő Lencsés and
  • Mária Fekete-Farkas
  • + 3 authors+ 0 author

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...

(This article belongs to the Special Issue Uncertainty-Aware Artificial Intelligence)
  • Article
  • Open Access
7 Citations
3,494 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...

(This article belongs to the Special Issue Virtual & Augmented Reality Innovations for Teachers, Teacher Education, and Professional Development)
  • Article
  • Open Access
8 Citations
4,424 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
7 Citations
5,893 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
10 Citations
3,081 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
2 Citations
2,322 Views
2 Pages

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

  • Article
  • Open Access
17 Citations
12,577 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...

(This article belongs to the Special Issue When Blockchain Meets IoT: Challenges and Potentials)
  • Article
  • Open Access
33 Citations
9,107 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
3,924 Views
19 Pages

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

  • Ju Zhang,
  • Bin Chen,
  • Jiahui Qiu,
  • Lingfan Zhuang and ,
  • Zhiyuan Wang and
  • Liu Liu
  • + 1 author+ 0 author

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...

  • Article
  • Open Access
8 Citations
7,344 Views
25 Pages

Towards Blockchain-Integrated Enterprise Resource Planning: A Pre-Implementation Guide

  • Lahlou Imane,
  • Motaki Noureddine,
  • Sarsri Driss and
  • L’yarfi Hanane

26 December 2023

In the face of numerous challenges in supply chain management, new technologies are being implemented to overcome obstacles and improve overall performance. Among these technologies, blockchain, a part of the distributed ledger family, offers several...

(This article belongs to the Special Issue Blockchain Technology—a Breakthrough Innovation for Modern Industries)
  • Article
  • Open Access
3 Citations
4,280 Views
17 Pages

26 December 2023

Augmentative and alternative communication techniques (AAC) are essential to assist individuals facing communication difficulties. (1) Background: It is acknowledged that dynamic solutions that adjust to the changing needs of patients are necessary i...

  • Article
  • Open Access
8 Citations
17,977 Views
16 Pages

Custom ASIC Design for SHA-256 Using Open-Source Tools

  • Lucas Daudt Franck,
  • Gabriel Augusto Ginja,
  • João Paulo Carmo,
  • José A. Afonso and
  • Maximiliam Luppe

25 December 2023

The growth of digital communications has driven the development of numerous cryptographic methods for secure data transfer and storage. The SHA-256 algorithm is a cryptographic hash function widely used for validating data authenticity, identity, and...

(This article belongs to the Special Issue Feature Papers in Computers 2023)
  • Article
  • Open Access
1 Citations
3,265 Views
32 Pages

24 December 2023

We present a hardware data structure specifically designed for FPGAs that enables the execution of the hard real-time database CRUD operations using a hybrid data structure that combines trees and rings. While the number of rows and columns has to be...

(This article belongs to the Special Issue Advances in Database Engineered Applications 2023)
  • Article
  • Open Access
1 Citations
3,838 Views
20 Pages

Robust Face Mask Detection by a Socially Assistive Robot Using Deep Learning

  • Yuan Zhang,
  • Meysam Effati,
  • Aaron Hao Tan and
  • Goldie Nejat

23 December 2023

Wearing masks in indoor and outdoor public places has been mandatory in a number of countries during the COVID-19 pandemic. Correctly wearing a face mask can reduce the transmission of the virus through respiratory droplets. In this paper, a novel tw...

  • Article
  • Open Access
3 Citations
4,678 Views
32 Pages

Multi-Network Latency Prediction for IoT and WSNs

  • Josiah E. Balota,
  • Ah-Lian Kor and
  • Olatunji A. Shobande

23 December 2023

The domain of Multi-Network Latency Prediction for IoT and Wireless Sensor Networks (WSNs) confronts significant challenges. However, continuous research efforts and progress in areas such as machine learning, edge computing, security technologies, a...

(This article belongs to the Section Cloud Continuum and Enabled Applications)
  • Article
  • Open Access
20 Citations
12,112 Views
18 Pages

23 December 2023

Transparency in financial reporting is crucial for maintaining trust in financial markets, yet fraudulent financial statements remain challenging to detect and prevent. This study introduces a novel approach to detecting financial statement fraud by...

  • Article
  • Open Access
18 Citations
7,810 Views
21 Pages

Ionospheric Error Models for Satellite-Based Navigation—Paving the Road towards LEO-PNT Solutions

  • Majed Imad,
  • Antoine Grenier,
  • Xiaolong Zhang,
  • Jari Nurmi and
  • Elena Simona Lohan

22 December 2023

Low Earth Orbit (LEO) constellations have recently gained tremendous attention in the navigational field due to their larger constellation size, faster geometry variations, and higher signal power levels than Global Navigation Satellite Systems (GNSS...

  • Article
  • Open Access
2 Citations
3,834 Views
24 Pages

Modeling Seasonality of Emotional Tension in Social Media

  • Alexey Nosov,
  • Yulia Kuznetsova,
  • Maksim Stankevich,
  • Ivan Smirnov and
  • Oleg Grigoriev

22 December 2023

Social media has become an almost unlimited resource for studying social processes. Seasonality is a phenomenon that significantly affects many physical and mental states. Modeling collective emotional seasonal changes is a challenging task for the t...

(This article belongs to the Special Issue Computational Modeling of Social Processes and Social Networks)
  • Article
  • Open Access
5 Citations
4,252 Views
18 Pages

Twofold Machine-Learning and Molecular Dynamics: A Computational Framework

  • Christos Stavrogiannis,
  • Filippos Sofos,
  • Maria Sagri,
  • Denis Vavougios and
  • Theodoros E. Karakasidis

22 December 2023

Data science and machine learning (ML) techniques are employed to shed light into the molecular mechanisms that affect fluid-transport properties at the nanoscale. Viscosity and thermal conductivity values of four basic monoatomic elements, namely, a...

  • Article
  • Open Access
16 Citations
12,893 Views
13 Pages

Healthy Personalized Recipe Recommendations for Weekly Meal Planning

  • Konstantinos Zioutos,
  • Haridimos Kondylakis and
  • Kostas Stefanidis

20 December 2023

Nowadays, in the pursuit of personalized health and well-being, dietary choices are critical. This paper introduces a novel recommendation system designed to provide users with personalized meal plans, consisting of breakfast, lunch, snack, and dinne...

XFacebookLinkedIn
Computers - ISSN 2073-431X