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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
5 Citations
3,008 Views
21 Pages

This research investigates the implementation of Kolmogorov–Arnold networks (KANs) for image processing in resource-constrained IoTs devices. KANs represent a novel neural network architecture that offers significant advantages over traditional...

  • Article
  • Open Access
2 Citations
2,116 Views
23 Pages

Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation

  • Youngwan Jin,
  • Incheol Park,
  • Hanbin Song,
  • Hyeongjin Ju,
  • Yagiz Nalcakan and
  • Shiho Kim

This paper proposes Pix2Next, a novel image-to-image translation framework designed to address the challenge of generating high-quality Near-Infrared (NIR) images from RGB inputs. Our method leverages a state-of-the-art Vision Foundation Model (VFM)...

  • Article
  • Open Access
779 Views
25 Pages

From Antenna Optimization to MIMO Structures: A Unified Design Framework

  • Claudia Constantinescu,
  • Claudia Pacurar,
  • Adina Giurgiuman,
  • Calin Munteanu,
  • Sergiu Andreica,
  • Marian Gliga and
  • Laura Grindei

Considering the improvements to modern communications and its requirements, antennas need to operate optimally at certain frequencies and have smaller dimensions. This study considered the optimization of two single antennas functioning at 2.4 GHz th...

  • Article
  • Open Access
1 Citations
1,018 Views
31 Pages

Analysis of Multimodal Sensor Systems for Identifying Basic Walking Activities

  • John C. Mitchell,
  • Abbas A. Dehghani-Sanij,
  • Sheng Q. Xie and
  • Rory J. O’Connor

Falls are a major health issue in societies globally and the second leading cause of unintentional death worldwide. To address this issue, many studies aim to remotely monitor gait to prevent falls. However, these activity data collected in studies m...

  • Article
  • Open Access
1 Citations
1,187 Views
30 Pages

Internet-of-Things (IoT) devices are interconnected objects embedded with sensors and software, enabling data collection and exchange. These devices encompass a wide range of applications, from household appliances to industrial systems, designed to...

  • Article
  • Open Access
7 Citations
5,477 Views
30 Pages

As global initiatives to reduce greenhouse gas emissions and combat climate change expand, electric vehicles (EVs) powered by fuel cells and lithium-ion batteries are gaining global recognition as solutions for sustainable transportation due to their...

  • Article
  • Open Access
1,256 Views
57 Pages

Over recent years, location-routing problems have become popular, since they tackle multiple major decisions in supply chains. With the focus now on sustainable supply chains, the problem has become sought-after, with the emphasis on complying with g...

  • Article
  • Open Access
4 Citations
1,206 Views
34 Pages

Grappling actions by space robots for the purposes of stabilizing, refueling, repair, and equipment replacement necessitate the autonomous abilities of a single grappling space robot to rapidly contend with large variations in total system inertia ra...

  • Article
  • Open Access
2 Citations
4,867 Views
22 Pages

A Deep-Learning Approach to Heart Sound Classification Based on Combined Time-Frequency Representations

  • Leonel Orozco-Reyes,
  • Miguel A. Alonso-Arévalo,
  • Eloísa García-Canseco,
  • Roilhi F. Ibarra-Hernández and
  • Roberto Conte-Galván

Worldwide, heart disease is the leading cause of mortality. Cardiac auscultation, when conducted by a trained professional, is a non-invasive, cost-effective, and readily available method for the initial assessment of cardiac health. Automated heart...

  • Article
  • Open Access
1 Citations
1,880 Views
23 Pages

No-code (NC) platforms empower individuals without IT experience to create tailored applications and websites. While these platforms are accessible to a broader audience, their usability for people with disabilities remains underexplored. This study...

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Technologies - ISSN 2227-7080