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Technologies, Volume 13, Issue 4

April 2025 - 42 articles

Cover Story: We introduce a novel reinforcement learning framework designed for fail-operational systems, where safety and continuous functionality are critical. By disentangling dual skill variables—namely, operational policy and backup policy—the proposed method ensures robust performance even under failure scenarios. We validate our approach through various simulations, demonstrating its ability to maintain task completion in the presence of partial agent or actuator failures. This work contributes to the development of resilient AI for safety-critical applications such as autonomous vehicles and robotics. View this paper
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Articles (42)

  • Article
  • Open Access
4 Citations
1,324 Views
34 Pages

AOAFS: A Malware Detection System Using an Improved Arithmetic Optimization Algorithm

  • Rafat Alshorman,
  • Bilal H. Abed-alguni and
  • Yaqeen E. Alqudah

Malware detection datasets often contain a huge number of features, many of which are irrelevant, noisy, and duplicated. This issue diminishes the efficacy of Machine Learning models used for malware detection. Feature Selection (FS) is an approach c...

  • Systematic Review
  • Open Access
11 Citations
7,957 Views
53 Pages

Assistive and Emerging Technologies to Detect and Reduce Neurophysiological Stress and Anxiety in Children and Adolescents with Autism and Sensory Processing Disorders: A Systematic Review

  • Pantelis Pergantis,
  • Victoria Bamicha,
  • Aikaterini Doulou,
  • Antonios I. Christou,
  • Nikolaos Bardis,
  • Charalabos Skianis and
  • Athanasios Drigas

This systematic review aims to investigate the ways in which assistive and developing technologies can help children and adolescents with autism spectrum disorder (ASD) experience less stress and neurophysiological distress. According to recent CDC d...

  • Article
  • Open Access
1,708 Views
25 Pages

Deep Object Occlusion Relationship Detection Based on Associative Embedding Clustering

  • Peiyong Gong,
  • Kai Zheng,
  • Ting Liu,
  • Yi Jiang and
  • Huixuan Zhao

Visual relationship detection is crucial for understanding scenes depicted in images when aiming to detect objects within the image and recognize the visual relationships between each pair of objects. Nevertheless, profound occlusion, as a typical vi...

  • Article
  • Open Access
4 Citations
1,549 Views
10 Pages

Leveraging Artificial Intelligence for Personalized Rehabilitation Programs for Head and Neck Surgery Patients

  • Gianluca Marcaccini,
  • Ishith Seth,
  • Jennifer Novo,
  • Vicki McClure,
  • Brett Sacks,
  • Kaiyang Lim,
  • Sally Kiu-Huen Ng,
  • Roberto Cuomo and
  • Warren M. Rozen

Background: Artificial intelligence (AI) and large language models (LLMs) are increasingly used in healthcare, with applications in clinical decision-making and workflow optimization. In head and neck surgery, postoperative rehabilitation is a comple...

  • Article
  • Open Access
2 Citations
3,904 Views
18 Pages

Improvement of Bank Fraud Detection Through Synthetic Data Generation with Gaussian Noise

  • Fray L. Becerra-Suarez,
  • Halyn Alvarez-Vasquez and
  • Manuel G. Forero

Bank fraud detection faces critical challenges in imbalanced datasets, where fraudulent transactions are rare, severely impairing model generalization. This study proposes a Gaussian noise-based augmentation method to address class imbalance, contras...

  • Article
  • Open Access
2 Citations
2,448 Views
28 Pages

Knee osteoarthritis (KOA) is a prevalent condition globally, leading to significant pain and disability, particularly in individuals over the age of 40. While exercise has been shown to reduce symptoms and improve physical function and quality of lif...

  • Article
  • Open Access
754 Views
22 Pages

An Implementation of Creep Test Assisting System with Dial Gauge Needle Reading and Smart Lighting Function for Laboratory Automation

  • Dezheng Kong,
  • Nobuo Funabiki,
  • Shihao Fang,
  • Noprianto,
  • Mitsuhiro Okayasu and
  • Pradini Puspitaningayu

For decades, analog dial gauges have been essential for measuring and monitoring data at various industrial instruments including production machines and laboratory equipment. Among them, we focus on the instrument for creep test in a mechanical engi...

  • Article
  • Open Access
850 Views
17 Pages

Semantic communication technology, as it allows for source data meaning extraction and the transmission of appropriate semantic information only, has the potential to extend Shannon’s paradigm, which is concerned with the reproduction of a mess...

  • Article
  • Open Access
1,333 Views
18 Pages

Resonance-Induced Capacitively Coupled Contactless Conductivity Detection (ReC4D) Unit for Nucleic Acid Amplification Testing

  • Roberto G. Ramírez-Chavarría,
  • Jorge A. Uc-Martín,
  • Bryan E. Alvarez-Serna and
  • Ramón F. Padilla-Morán

Nucleic acid amplification (NAA) is a technique that increases the number of copies of a gene, making it possible to detect microorganisms. This technique is often used in clinical tests, biochemical analysis, and environmental assays, to mention onl...

  • Review
  • Open Access
6 Citations
4,427 Views
30 Pages

Smart inverters are pivotal in modern renewable energy systems, enabling efficient grid integration, stability, and advanced control of distributed energy resources. While existing literature addresses their technical functionalities, significant res...

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Technologies - ISSN 2227-7080