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Computers, Volume 13, Issue 10

October 2024 - 30 articles

Cover Story: Mental workload, visuospatial processes and physiological arousal are highly intertwined phenomena crucial for achieving optimal performance and improved mental health. This study investigates the relationship between these phenomena and performance, in a virtual reality (VR)-based TETRIS game with 25 participants. Multimodal data were recorded using a physiological-computing VR headset. Our findings reveal distinct patterns in EEG and cardiac activity that correlate with changes in task difficulty, in-game performance and subjective feelings of relief after a helper intervention. This study highlights the importance of multimodal physiological recording in rich environments and suggests the plausibility of workload optimization in favor of overall mental health and well-being. View this paper
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Articles (30)

  • Article
  • Open Access
1,879 Views
30 Pages

12 October 2024

Elliptic curve cryptography (ECC) is widely used for secure communications, because it can provide the same level of security as RSA with a much smaller key size. In constrained environments, it is important to consider efficiency, in terms of execut...

  • Article
  • Open Access
1 Citations
2,676 Views
29 Pages

access@tour by Action: A Platform for Improving Accessible Tourism Conditions

  • Pedro Teixeira,
  • Celeste Eusébio and
  • Leonor Teixeira

12 October 2024

Accessible tourism has become relevant, generating significant economic and social impacts. Even though the accessible tourism market is rising and presents an excellent business opportunity, this market is largely ignored, as it is challenging to st...

  • Article
  • Open Access
7 Citations
2,611 Views
19 Pages

Enhancing Information Exchange in Ship Maintenance through Digital Twins and IoT: A Comprehensive Framework

  • Andrii Golovan,
  • Vasyl Mateichyk,
  • Igor Gritsuk,
  • Alexander Lavrov,
  • Miroslaw Smieszek,
  • Iryna Honcharuk and
  • Olena Volska

11 October 2024

This article proposes a comprehensive framework for enhancing information exchange in ship maintenance through the integration of Digital Twins (DTs) and the Internet of Things (IoT). The maritime industry faces significant challenges in maintaining...

  • Article
  • Open Access
1,835 Views
31 Pages

Enhanced Neonatal Brain Tissue Analysis via Minimum Spanning Tree Segmentation and the Brier Score Coupled Classifier

  • Tushar Hrishikesh Jaware,
  • Chittaranjan Nayak,
  • Priyadarsan Parida,
  • Nawaf Ali,
  • Yogesh Sharma and
  • Wael Hadi

11 October 2024

Automatic assessment of brain regions in an MR image has emerged as a pivotal tool in advancing diagnosis and continual monitoring of neurological disorders through different phases of life. Nevertheless, current solutions often exhibit specificity t...

  • Article
  • Open Access
1,113 Views
27 Pages

Specialized Genetic Operators for the Planning of Passive Optical Networks

  • Oeber Izidoro Pereira,
  • Edgar Manuel Carreño-Franco,
  • Jesús M. López-Lezama and
  • Nicolás Muñoz-Galeano

10 October 2024

Passive Optical Networks (PONs) are telecommunication technologies that use fiber-optic cables to deliver high-speed internet and other communication services to end users. PONs split optical signals from a single fiber into multiple fibers, serving...

  • Article
  • Open Access
4 Citations
3,468 Views
16 Pages

Enhancement of Named Entity Recognition in Low-Resource Languages with Data Augmentation and BERT Models: A Case Study on Urdu

  • Fida Ullah,
  • Alexander Gelbukh,
  • Muhammad Tayyab Zamir,
  • Edgardo Manuel Felipe Riverόn and
  • Grigori Sidorov

10 October 2024

Identifying and categorizing proper nouns in text, known as named entity recognition (NER), is crucial for various natural language processing tasks. However, developing effective NER techniques for low-resource languages like Urdu poses challenges d...

  • Article
  • Open Access
4 Citations
4,861 Views
13 Pages

Assessing Large Language Models Used for Extracting Table Information from Annual Financial Reports

  • David Balsiger,
  • Hans-Rudolf Dimmler,
  • Samuel Egger-Horstmann and
  • Thomas Hanne

9 October 2024

The extraction of data from tables in PDF documents has been a longstanding challenge in the field of data processing and analysis. While traditional methods have been explored in depth, the rise of Large Language Models (LLMs) offers new possibiliti...

  • Article
  • Open Access
3 Citations
6,666 Views
13 Pages

Audio Deep Fake Detection with Sonic Sleuth Model

  • Anfal Alshehri,
  • Danah Almalki,
  • Eaman Alharbi and
  • Somayah Albaradei

8 October 2024

Information dissemination and preservation are crucial for societal progress, especially in the technological age. While technology fosters knowledge sharing, it also risks spreading misinformation. Audio deepfakes—convincingly fabricated audio...

  • Article
  • Open Access
1,245 Views
18 Pages

8 October 2024

An important parameter in the monitoring and surveillance systems is the probability of detection. Advanced wildlife monitoring systems rely on camera traps for stationary wildlife photography and have been broadly used for estimation of population s...

  • Article
  • Open Access
4 Citations
3,812 Views
29 Pages

8 October 2024

This study examines the balance between technical and social focus in artificial intelligence, blockchain, cybersecurity, and privacy publications in Web of Science across countries, exploring the social factors that influence these research prioriti...

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Computers - ISSN 2073-431X