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Information, Volume 15, Issue 2

February 2024 - 54 articles

Cover Story: The traditional standards for company classification are based on time-consuming, effort-intensive, and vendor-specific assignments by domain experts, leading to issues with accuracy, cost, standardization, and adaptability to market dynamics. Addressing these issues requires a shift towards automated, standardized, and continuously updated classification approaches. NLP-based methods can revolutionize company classification and offer reduced costs, simplified processes, and decreased reliance on manual labor. This solution can benefit various industries, including financial research, business intelligence, and investing, by providing a more efficient and cost-effective way of categorizing companies while streamlining the decision-making processes in a rapidly changing industry landscape. View this paper
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Articles (54)

  • Article
  • Open Access
2,391 Views
13 Pages

19 February 2024

Background: Degenerative spinal pathologies are highly prevalent among the elderly population. Timely diagnosis of osteoporotic fractures and other degenerative deformities enables proactive measures to mitigate the risk of severe back pain and disab...

  • Article
  • Open Access
1 Citations
5,802 Views
22 Pages

18 February 2024

The development and implementation of information systems strategy in multi-national corporations (MNCs) faces particular challenges—cultural differences and variations in work values and practices across different countries, numerous technolog...

  • Article
  • Open Access
3 Citations
2,723 Views
22 Pages

18 February 2024

This paper presents a formal security analysis of the ISA100.11a standard protocol using the Colored Petri Net (CPN) modeling approach. Firstly, we establish a security threat model for the ISA100.11a protocol and provide a detailed description and a...

  • Review
  • Open Access
23 Citations
10,833 Views
23 Pages

Strategic Approaches to Cybersecurity Learning: A Study of Educational Models and Outcomes

  • Madhav Mukherjee,
  • Ngoc Thuy Le,
  • Yang-Wai Chow and
  • Willy Susilo

18 February 2024

As the demand for cybersecurity experts in the industry grows, we face a widening shortage of skilled professionals. This pressing concern has spurred extensive research within academia and national bodies, who are striving to bridge this skills gap...

  • Review
  • Open Access
9 Citations
5,683 Views
14 Pages

17 February 2024

The COVID-19 pandemic heightened concerns about health and safety, leading people to seek information to protect themselves from infection. Even before the pandemic, false health information was spreading on social media. We conducted a review of rec...

  • Article
  • Open Access
3 Citations
3,297 Views
35 Pages

16 February 2024

The Provincial Health Services Authority (PHSA) of British Columbia suggested that a paradigm shift from weight to well-being could address the unintended consequences of focusing on obesity and improve the outcomes of efforts to address the challeng...

  • Article
  • Open Access
4,713 Views
13 Pages

15 February 2024

Self-supervised learning (SSL) has emerged as a promising paradigm for learning flexible speech representations from unlabeled data. By designing pretext tasks that exploit statistical regularities, SSL models can capture useful representations that...

  • Article
  • Open Access
10 Citations
7,583 Views
24 Pages

Deep Reinforcement Learning for Autonomous Driving in Amazon Web Services DeepRacer

  • Bohdan Petryshyn,
  • Serhii Postupaiev,
  • Soufiane Ben Bari and
  • Armantas Ostreika

15 February 2024

The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. Specifically, optimising path completion times while navigating obstacles...

  • Article
  • Open Access
4 Citations
2,896 Views
19 Pages

14 February 2024

Given a social network modelled by a graph, the goal of the influence maximization problem is to find k vertices that maximize the number of active vertices through a process of diffusion. For this diffusion, the linear threshold model is considered....

  • Article
  • Open Access
2 Citations
2,144 Views
11 Pages

Exploring the Impact of Body Position on Attentional Orienting

  • Rébaï Soret,
  • Noemie Prea and
  • Vsevolod Peysakhovich

13 February 2024

Attentional orienting is a crucial process in perceiving our environment and guiding human behavior. Recent studies have suggested a forward attentional bias, where faster reactions are observed to spatial cues indicating information appearing in the...

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Information - ISSN 2078-2489Creative Common CC BY license