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Electronics, Volume 13, Issue 3

February-1 2024 - 204 articles

Cover Story: Natural disasters, such as earthquakes, involve critical situations that threaten human lives. Victims are often injured and trapped, while in most cases, the harsh environment prevents search and rescue (SAR) teams from approaching the victims’ locations. In such scenarios, decision-makers must have a real-time and complete view of the current situation. Advances in robotics, drones, Edge computing and Internet of Things (IoT) have increased their usability in life- and time-critical decision support systems, integrating heterogeneous streaming data generated from IoT entities, and providing reasoning capabilities, in real-time. This paper reviews related technologies and approaches and identifies open issues and challenges, proposing a novel approach that goes beyond the state of the art. View this paper
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Articles (204)

  • Review
  • Open Access
18 Citations
8,320 Views
55 Pages

A Survey on Video Streaming for Next-Generation Vehicular Networks

  • Chenn-Jung Huang,
  • Hao-Wen Cheng,
  • Yi-Hung Lien and
  • Mei-En Jian

As assisted driving technology advances and vehicle entertainment systems rapidly develop, future vehicles will become mobile cinemas, where passengers can use various multimedia applications in the car. In recent years, the progress in multimedia te...

  • Review
  • Open Access
27 Citations
10,089 Views
25 Pages

The field of Natural Language Processing (NLP) has experienced significant growth in recent years, largely due to advancements in Deep Learning technology and especially Large Language Models. These improvements have allowed for the development of ne...

  • Article
  • Open Access
9 Citations
3,720 Views
22 Pages

Effective charging techniques must consider factors such as charging efficiency, lifecycle, charging time (CT), and battery temperature. Currently, most charging strategies primarily focus on CT and charging losses (CL), overlooking the crucial influ...

  • Article
  • Open Access
1,438 Views
15 Pages

Visual Field (VF) measurements, crucial for diagnosing and treating glaucoma, often contain noise originating from both the instrument and subjects during the response process. This study proposes a neural network-based denoising method for VF data,...

  • Article
  • Open Access
4 Citations
1,927 Views
14 Pages

Optimal Power Allocation in Optical GEO Satellite Downlinks Using Model-Free Deep Learning Algorithms

  • Theodore T. Kapsis,
  • Nikolaos K. Lyras and
  • Athanasios D. Panagopoulos

Geostationary (GEO) satellites are employed in optical frequencies for a variety of satellite services providing wide coverage and connectivity. Multi-beam GEO high-throughput satellites offer Gbps broadband rates and, jointly with low-Earth-orbit me...

  • Article
  • Open Access
7 Citations
5,053 Views
17 Pages

Blockwise reconstruction with adaptive rounding helps achieve acceptable 4-bit post-training quantization accuracy. However, adaptive rounding is time intensive, and the optimization space of weight elements is constrained to a binary set, thus limit...

  • Article
  • Open Access
16 Citations
9,118 Views
24 Pages

Analysis of Distance and Environmental Impact on UAV Acoustic Detection

  • Diana Tejera-Berengue,
  • Fangfang Zhu-Zhou,
  • Manuel Utrilla-Manso,
  • Roberto Gil-Pita and
  • Manuel Rosa-Zurera

This article explores the challenge of acoustic drone detection in real-world scenarios, with an emphasis on the impact of distance, to see how sound propagation affects drone detection. Learning machines of varying complexity are used for detection,...

  • Article
  • Open Access
3 Citations
2,174 Views
21 Pages

A Hybrid Model for Prognostic and Health Management of Electronic Devices

  • Alessandro Murgia,
  • Chaitra Harsha,
  • Elena Tsiporkova,
  • Chinmay Nawghane and
  • Bart Vandevelde

Techniques for prognostic and health management are becoming common in the electronic domain to reduce the cost of failures. Typically, the proposed techniques rely either on physics-based or data-driven models. Only a few studies explored hybrid mod...

  • Article
  • Open Access
6 Citations
2,093 Views
19 Pages

In electric drive systems, one of the most common faults is related to measurement equipment, including current sensors (CSs). As information about the stator current is crucial to ensure precise control of AC drives, such a fault significantly affec...

  • Review
  • Open Access
42 Citations
17,373 Views
26 Pages

In recent years, we have been observing the rapid growth and adoption of IoT-based systems, enhancing multiple areas of our lives. Concurrently, the utilization of machine learning techniques has surged, often for similar use cases as those seen in I...

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Electronics - ISSN 2079-9292