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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)

  • Article
  • Open Access
12 Citations
2,400 Views
12 Pages

Secure Healthcare Model Using Multi-Step Deep Q Learning Network in Internet of Things

  • Patibandla Pavithra Roy,
  • Ventrapragada Teju,
  • Srinivasa Rao Kandula,
  • Kambhampati Venkata Sowmya,
  • Anca Ioana Stan and
  • Ovidiu Petru Stan

Internet of Things (IoT) is an emerging networking technology that connects both living and non-living objects globally. In an era where IoT is increasingly integrated into various industries, including healthcare, it plays a pivotal role in simplify...

  • Article
  • Open Access
2 Citations
2,157 Views
20 Pages

The continuous technical advancement of scientific space missions has resulted in a surge in the amount of data that is transferred to ground stations within short satellite visibility windows, which has consequently led to higher throughput requirem...

  • Article
  • Open Access
10 Citations
1,874 Views
21 Pages

The increasing penetration of photovoltaic (PV) and hydroelectric power generation and their coupling uncertainties have brought great challenges to multi-energy’s coordinated dispatch. Traditional methods such as stochastic optimization (SO) a...

  • Article
  • Open Access
5 Citations
5,627 Views
14 Pages

This study presents a charge-domain SRAM-based in-memory computing (IMC) architecture. The multiply-and-accumulate (MAC) operation in the IMC structure is divided into current- and charge-domain methods. Current-domain IMC has high-power consumption...

  • Article
  • Open Access
12 Citations
4,646 Views
15 Pages

Res-BiANet: A Hybrid Deep Learning Model for Arrhythmia Detection Based on PPG Signal

  • Yankun Wu,
  • Qunfeng Tang,
  • Weizong Zhan,
  • Shiyong Li and
  • Zhencheng Chen

Arrhythmias are among the most prevalent cardiac conditions and frequently serve as a direct cause of sudden cardiac death. Hence, the automated detection of arrhythmias holds significant importance for assisting in the diagnosis of heart conditions....

  • Article
  • Open Access
6 Citations
1,863 Views
18 Pages

This paper introduces a 17-bus 500 kV test system intended for transmission expansion planning (TEP) studies. The overhead lines used in the system are based on an actual 500 kV transmission line geometry. Although several test systems have been deve...

  • Article
  • Open Access
10 Citations
2,427 Views
18 Pages

Offloading computation-intensive tasks to mobile edge computing (MEC) servers, such as road-side units (RSUs) and a base station (BS), can enhance the computation capacities of the vehicle-to-everything (V2X) communication system. In this work, we st...

  • Article
  • Open Access
4 Citations
3,497 Views
19 Pages

In open environments, multimodal sentiment analysis (MSA) often suffers from low-quality data and can be disrupted by noise, inherent defects, and outliers. In some cases, unreasonable multimodal fusion methods can perform worse than unimodal methods...

  • Article
  • Open Access
1,523 Views
16 Pages

Intelligent vehicular networks can not only connect various smart terminals to manned or unmanned vehicles but also to roads and people’s hands. In order to support diverse vehicle-to-everything (V2X) applications in dynamic, intelligent vehicu...

  • Article
  • Open Access
6 Citations
5,655 Views
20 Pages

Cloud manufacturing is an evolving networked framework that enables multiple manufacturers to collaborate in providing a range of services, including design, development, production, and post-sales support. The framework operates on an integrated pla...

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Electronics - ISSN 2079-9292