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Information, Volume 15, Issue 7

July 2024 - 56 articles

Cover Story: FEINT is an automated framework to facilitate modular compositions/customizations of FPGA designs. FEINT is architected as a “template” insertion tool driven by a user-provided configuration script to introduce dynamic design features as plugins at different stages of the FPGA design process to facilitate rapid prototyping, composition-based design evolution, and system customization. For example, FEINT can help insert defensive monitoring, adversarial Trojan, and plugin-based functionality enhancements. FEINT is scalable, future-proof, and cross-platform without dependence on vendor-specific file formats, ensuring compatibility across FPGA families and tool versions and integrability with commercial tools. FEINT’s effectiveness is demonstrated using several template/module scenarios from designer, defender, and attacker perspectives. View this paper
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Articles (56)

  • Article
  • Open Access
1,986 Views
17 Pages

Examining the Roles, Sentiments, and Discourse of European Interest Groups in the Ukrainian War through X (Twitter)

  • Aritz Gorostiza-Cerviño,
  • Álvaro Serna-Ortega,
  • Andrea Moreno-Cabanillas,
  • Ana Almansa-Martínez and
  • Antonio Castillo-Esparcia

22 July 2024

This research focuses on examining the responses of interest groups listed in the European Transparency Register to the ongoing Russia–Ukraine war. Its aim is to investigate the nuanced reactions of 2579 commercial and business associations and...

  • Article
  • Open Access
2 Citations
2,307 Views
15 Pages

Semi-Supervised Learning for Multi-View Data Classification and Visualization

  • Najmeh Ziraki,
  • Alireza Bosaghzadeh and
  • Fadi Dornaika

22 July 2024

Data visualization has several advantages, such as representing vast amounts of data and visually demonstrating patterns within it. Manifold learning methods help us estimate lower-dimensional representations of data, thereby enabling more effective...

  • Article
  • Open Access
19 Citations
6,787 Views
20 Pages

20 July 2024

The ever-growing web application landscape, fueled by technological advancements, introduces new vulnerabilities to cyberattacks. Cross-site scripting (XSS) attacks pose a significant threat, exploiting the difficulty of distinguishing between benign...

  • Article
  • Open Access
4 Citations
5,209 Views
30 Pages

19 July 2024

Current AI detection systems often struggle to distinguish between Arabic human-written text (HWT) and AI-generated text (AIGT) due to the small marks present above and below the Arabic text called diacritics. This study introduces robust Arabic text...

  • Article
  • Open Access
1 Citations
1,830 Views
13 Pages

SiamSMN: Siamese Cross-Modality Fusion Network for Object Tracking

  • Shuo Han,
  • Lisha Gao,
  • Yue Wu,
  • Tian Wei,
  • Manyu Wang and
  • Xu Cheng

19 July 2024

The existing Siamese trackers have achieved increasingly successful results in visual object tracking. However, the interactive fusion among multi-layer similarity maps after cross-correlation has not been fully studied in previous Siamese network-ba...

  • Article
  • Open Access
2 Citations
1,750 Views
15 Pages

18 July 2024

Separating overlapped nuclei is a significant challenge in histopathology image analysis. Recently published approaches have achieved promising overall performance on nuclei segmentation; however, their performance on separating overlapped nuclei is...

  • Article
  • Open Access
15 Citations
4,724 Views
16 Pages

18 July 2024

Students’ perceptions of tools with which they learn affect the outcomes of this learning. GenAI tools are new tools that have promise for students’ learning, especially higher education students. Examining students’ perceptions of...

  • Article
  • Open Access
1 Citations
2,066 Views
18 Pages

18 July 2024

Currently, telemedicine and telehealth have grown, prompting healthcare institutions to seek innovative ways to incorporate them into their services. Challenges such as resource allocation, system integration, and data compatibility persist in health...

  • Article
  • Open Access
4 Citations
2,895 Views
16 Pages

NATCA YOLO-Based Small Object Detection for Aerial Images

  • Yicheng Zhu,
  • Zhenhua Ai,
  • Jinqiang Yan,
  • Silong Li,
  • Guowei Yang and
  • Teng Yu

18 July 2024

The object detection model in UAV aerial image scenes faces challenges such as significant scale changes of certain objects and the presence of complex backgrounds. This paper aims to address the detection of small objects in aerial images using NATC...

  • Article
  • Open Access
5 Citations
1,805 Views
16 Pages

18 July 2024

Paradoxical decision-making behaviours such as preference reversal often arise from imprecise or noisy human preferences. Harnessing the physical principle of magnetisation reversal in ferromagnetic nanostructures, we developed a model that closely r...

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Information - ISSN 2078-2489Creative Common CC BY license