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Applied System Innovation, Volume 8, Issue 1

February 2025 - 25 articles

Cover Story: Adversarial attacks are deliberate exploitations of fundamental algorithmic learning weaknesses in AI models, which leads to erroneous, biased and harmful outcomes. Adversarial attacks on computer vision AI are widely known; however, adversarial attacks on text-based AI are less explored. We present a novel explainable AI approach with integrated gradients (IGs) for the detection of adversarial attacks on text classifiers. This approach uses IGs to unpack model behaviour and identify terms that influence the target prediction. In an empirical evaluation on three benchmark datasets—IMDB, SST-2, and AG News—this method outperforms baseline models on word substitution rate, detection accuracy, and F1 scores while sustaining detection performance against adversarial attacks. View this paper
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Articles (25)

  • Article
  • Open Access
3 Citations
1,341 Views
21 Pages

This paper focuses on the modeling of the performance of photovoltaic systems based on advanced techniques. This research leverages real-world data from the Shams Solar Facility at the German University of Technology in Oman to explore the applicatio...

  • Article
  • Open Access
2 Citations
2,027 Views
25 Pages

AI-Driven Pilot Overhead Reduction in 5G mmWaveMassive MIMO Systems

  • Mohammad Riad Abou Yassin,
  • Soubhi Abou Chahine and
  • Hamza Issa

The emergence of 5G technology promises remarkable advancements in wireless communication, particularly in the realm of mmWave (millimeter-wave) massive multiple input multiple output (m-MIMO) systems. However, the realization of its full potential i...

  • Article
  • Open Access
1,519 Views
17 Pages

This study investigated the application of similarity coefficients in cellular layout and group technology in industrial organizations, focusing on multicellular manufacturing. Cell formation methods and techniques were explored, ranging from similar...

  • Article
  • Open Access
1,015 Views
20 Pages

This study presents an innovative control strategy for enabling ships to perform automatic U-turns in restricted waters, with a focus on minimizing energy consumption and reducing wear on the steering gear. The strategy integrates a closed-loop gain-...

  • Article
  • Open Access
3 Citations
1,637 Views
23 Pages

In recent years, modularity has become increasingly present in the field of robotics and mechatronics. The need to easily calculate and generate modular robots in an easier and faster way and for a wide range of robotics projects has increased. This...

  • Article
  • Open Access
1,455 Views
15 Pages

Respiratory motion serves as a major challenge during treatment of lung cancer patients using radiotherapy. In this work, an image-based method is presented to extract a respiratory signal directly from Cone Beam CT (CBCT) projections. A dense optica...

  • Article
  • Open Access
1,618 Views
27 Pages

RTACompensator: Leveraging AraBERT and XGBoost for Automated Road Accident Compensation

  • Taoufiq El Moussaoui,
  • Awatif Karim,
  • Chakir Loqman and
  • Jaouad Boumhidi

Road traffic accidents (RTAs) are a significant public health and safety concern, resulting in numerous injuries and fatalities. The growing number of cases referred to traffic accident rooms in courts has underscored the necessity for an automated s...

  • Article
  • Open Access
1 Citations
1,442 Views
20 Pages

This study introduces a novel technique called Synchronized Multi-Augmentation (SMA) combined with multi-backbone (MB) ensembling to enhance model performance and generalization in deep learning (DL) tasks in real-world scenarios. SMA utilizes synchr...

  • Article
  • Open Access
1 Citations
5,443 Views
17 Pages

Explainable Artificial Intelligence with Integrated Gradients for the Detection of Adversarial Attacks on Text Classifiers

  • Harsha Moraliyage,
  • Geemini Kulawardana,
  • Daswin De Silva,
  • Zafar Issadeen,
  • Milos Manic and
  • Seiichiro Katsura

Text classifiers are Artificial Intelligence (AI) models used to classify new documents or text vectors into predefined classes. They are typically built using supervised learning algorithms and labelled datasets. Text classifiers produce a predefine...

  • Article
  • Open Access
3 Citations
3,853 Views
19 Pages

This article presents the process of creating a virtual reality (VR) game designed to assess the impact of stress on heart rate variability (HRV). The game features dynamic and challenging scenarios to induce stress responses, incorporating advanced...

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Appl. Syst. Innov. - ISSN 2571-5577Creative Common CC BY license