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Information, Volume 15, Issue 10

October 2024 - 78 articles

Cover Story: This study evaluates several cutting-edge avatar creation platforms within the metaverse, including VRChat, Ready Player Me, VRoid, and MetaHuman. By comparing these tools' customization, integration, and user experiences, the research identifies the best solutions for creating immersive digital identities. Moreover, it delves into the significant privacy and security concerns these virtual environments pose to users. The findings reveal that, while these platforms offer innovative solutions for creating immersive avatars, there is a pressing need for robust privacy protections. Understanding avatar creations’ technical aspects and privacy implications enables more secure and personalized metaverse interactions, shaping the future of virtual socialization and digital identity management. View this paper
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Articles (78)

  • Systematic Review
  • Open Access
8 Citations
14,687 Views
25 Pages

21 October 2024

In recent years, there has been growing interest in recommendation systems, which is matched by their widespread adoption across various sectors. This can be attributed to their effectiveness in reducing an avalanche of data into individualized infor...

  • Article
  • Open Access
2,750 Views
16 Pages

Sentence Embeddings and Semantic Entity Extraction for Identification of Topics of Short Fact-Checked Claims

  • Krzysztof Węcel,
  • Marcin Sawiński,
  • Włodzimierz Lewoniewski,
  • Milena Stróżyna,
  • Ewelina Księżniak and
  • Witold Abramowicz

21 October 2024

The objective of this research was to design a method to assign topics to claims debunked by fact-checking agencies. During the fact-checking process, access to more structured knowledge is necessary; therefore, we aim to describe topics with semanti...

  • Article
  • Open Access
15 Citations
4,238 Views
23 Pages

19 October 2024

Mobile devices face significant security challenges due to the increasing proliferation of Android malware. This study introduces an innovative approach to Android malware detection, combining Support Vector Regression (SVR) and dynamic feature analy...

  • Article
  • Open Access
1 Citations
2,677 Views
37 Pages

An Intelligent Approach to Automated Operating Systems Log Analysis for Enhanced Security

  • Obinna Johnphill,
  • Ali Safaa Sadiq,
  • Omprakash Kaiwartya and
  • Mohammad Aljaidi

19 October 2024

Self-healing systems have become essential in modern computing for ensuring continuous and secure operations while minimising downtime and maintenance costs. These systems autonomously detect, diagnose, and correct anomalies, with effective self-heal...

  • Article
  • Open Access
4 Citations
4,529 Views
22 Pages

19 October 2024

This paper presents a novel MRI super-resolution analysis model, MRISR. Through the utilization of generative adversarial networks for the estimation of degradation kernels and the injection of noise, we have constructed a comprehensive dataset of hi...

  • Article
  • Open Access
31 Citations
16,623 Views
24 Pages

19 October 2024

Over the past few decades, the field of fuzzy logic has evolved significantly, leading to the development of diverse techniques and applications. Fuzzy logic has been successfully combined with other artificial intelligence techniques such as artific...

  • Article
  • Open Access
1,140 Views
13 Pages

18 October 2024

Traffic sensors are vital to the development and operation of Intelligent Transportation Systems, providing essential data for traffic monitoring, management, and transportation infrastructure planning. However, optimizing the placement of these sens...

  • Article
  • Open Access
9 Citations
4,254 Views
32 Pages

Enhancing Brain Tumor Detection Through Custom Convolutional Neural Networks and Interpretability-Driven Analysis

  • Kavinda Ashan Kulasinghe Wasalamuni Dewage,
  • Raza Hasan,
  • Bacha Rehman and
  • Salman Mahmood

18 October 2024

Brain tumor detection is crucial for effective treatment planning and improved patient outcomes. However, existing methods often face challenges, such as limited interpretability and class imbalance in medical-imaging data. This study presents a nove...

  • Article
  • Open Access
3 Citations
2,059 Views
15 Pages

Image Stitching of Low-Resolution Retinography Using Fundus Blur Filter and Homography Convolutional Neural Network

  • Levi Santos,
  • Maurício Almeida,
  • João Almeida,
  • Geraldo Braz,
  • José Camara and
  • António Cunha

17 October 2024

Great advances in stitching high-quality retinal images have been made in recent years. On the other hand, very few studies have been carried out on low-resolution retinal imaging. This work investigates the challenges of low-resolution retinal image...

  • Article
  • Open Access
1,538 Views
25 Pages

17 October 2024

The growing volume of information available to decision-makers makes it increasingly challenging to process all data during decision-making. As a result, a method for selecting only relevant information is highly desirable. Moreover, since the meanin...

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Information - ISSN 2078-2489