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

Information, Volume 14, Issue 8

August 2023 - 47 articles

Cover Story: Bullying and cyberbullying are intentional, repetitive actions aimed at causing harm, with far-reaching consequences for individuals and society. The BullyBuster project takes a novel approach by combining AI techniques with psychological models to tackle these issues comprehensively. The project enables timely intervention and minimizes harm by automatically identifying harmful content and analyzing linguistic patterns in various data sources, such as photos and videos. This paper presents the culmination of prior research, demonstrating how AI classifiers can significantly enhance cyberbullying detection and prevention. The framework offers a promising solution to the pervasive problem of cyberbullying. 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 (47)

  • Review
  • Open Access
7 Citations
4,110 Views
19 Pages

Advancements in On-Device Deep Neural Networks

  • Kavya Saravanan and
  • Abbas Z. Kouzani

21 August 2023

In recent years, rapid advancements in both hardware and software technologies have resulted in the ability to execute artificial intelligence (AI) algorithms on low-resource devices. The combination of high-speed, low-power electronic hardware and e...

  • Review
  • Open Access
22 Citations
11,819 Views
29 Pages

Exploring Evaluation Methods for Interpretable Machine Learning: A Survey

  • Nourah Alangari,
  • Mohamed El Bachir Menai,
  • Hassan Mathkour and
  • Ibrahim Almosallam

21 August 2023

In recent times, the progress of machine learning has facilitated the development of decision support systems that exhibit predictive accuracy, surpassing human capabilities in certain scenarios. However, this improvement has come at the cost of incr...

  • Article
  • Open Access
7 Citations
6,396 Views
22 Pages

20 August 2023

Resume matching is the process of comparing a candidate’s curriculum vitae (CV) or resume with a job description or a set of employment requirements. The objective of this procedure is to assess the degree to which a candidate’s skills, q...

  • Article
  • Open Access
35 Citations
9,946 Views
20 Pages

Cyberbullying Detection on Social Media Using Stacking Ensemble Learning and Enhanced BERT

  • Amgad Muneer,
  • Ayed Alwadain,
  • Mohammed Gamal Ragab and
  • Alawi Alqushaibi

18 August 2023

The prevalence of cyberbullying on Social Media (SM) platforms has become a significant concern for individuals, organizations, and society as a whole. The early detection and intervention of cyberbullying on social media are critical to mitigating i...

  • Article
  • Open Access
1 Citations
3,675 Views
18 Pages

An Automated Precise Authentication of Vehicles for Enhancing the Visual Security Protocols

  • Kumarmangal Roy,
  • Muneer Ahmad,
  • Norjihan Abdul Ghani,
  • Jia Uddin and
  • Jungpil Shin

18 August 2023

The movement of vehicles in and out of the predefined enclosure is an important security protocol that we encounter daily. Identification of vehicles is a very important factor for security surveillance. In a smart campus concept, thousands of vehicl...

  • Article
  • Open Access
10 Citations
4,688 Views
19 Pages

Insights into the Predictors of Empathy in Virtual Reality Environments

  • Jorge Bacca-Acosta,
  • Cecilia Avila-Garzon and
  • Myriam Sierra-Puentes

18 August 2023

The effectiveness of virtual reality (VR) in eliciting empathy lies in the fact that VR offers possibilities for situating people in a specific context and in the shoes of others. Previous research has investigated the benefits of VR in eliciting emp...

  • Article
  • Open Access
2 Citations
2,484 Views
17 Pages

17 August 2023

Managing passenger information during disruption (PIDD) is a significant factor in running effective and quick-to-recover rail operations. Disruptions are unpredictable, and their timely resolution is ultimately dependent on the expert knowledge of e...

  • Article
  • Open Access
9 Citations
4,125 Views
17 Pages

Principles for External Human–Machine Interfaces

  • Marc Wilbrink,
  • Stephan Cieler,
  • Sebastian L. Weiß,
  • Matthias Beggiato,
  • Philip Joisten,
  • Alexander Feierle and
  • Michael Oehl

17 August 2023

Automated vehicles will soon be integrated into our current traffic system. This development will lead to a novel mixed-traffic environment where connected and automated vehicles (CAVs) will have to interact with other road users (ORU). To enable thi...

  • Review
  • Open Access
163 Citations
73,269 Views
23 Pages

16 August 2023

This paper presents an in-depth study of ChatGPT, a state-of-the-art language model that is revolutionizing generative text. We provide a comprehensive analysis of its architecture, training data, and evaluation metrics and explore its advancements a...

  • Article
  • Open Access
2 Citations
1,972 Views
16 Pages

15 August 2023

This paper addresses the multi-sensor fusion target tracking problem based on maximum mixture correntropy in non-Gaussian noise environments exclusively using Doppler measurements. As Doppler measurements are non-linear, a statistical linear regressi...

of 5

Get Alerted

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

XFacebookLinkedIn
Information - ISSN 2078-2489