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Electronics, Volume 12, Issue 5

March-1 2023 - 196 articles

Cover Story: Microwave applications in medicine are gaining interest with a significant trend in healthcare research and development. Artificial intelligence (AI)-assisted microwave applications in medicine are expected to disrupt several areas, namely microwave imaging, dielectric spectroscopy for tissue classification, molecular diagnostics, telemetry, biohazard waste management, diagnostic pathology, biomedical sensor design, drug delivery, ablation treatment, and radiometry. AI-enabled microwave systems can be developed to augment healthcare, including clinical decision making, guiding treatment, and increasing resource-efficient facilities. This contribution outlines a platform for AI-based microwave solutions for future advancements in both clinical and technical aspects to enhance patient care. View this paper
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Articles (196)

  • Article
  • Open Access
3 Citations
2,424 Views
22 Pages

Electromagnetic disturbances (EMDs) resulting from arcing discharge between the pantograph and catenary pose a serious threat to the electromagnetic safety of electrified trains. The time characteristic of EMD excitation current has a significant imp...

  • Article
  • Open Access
14 Citations
2,215 Views
19 Pages

Fault diagnostic techniques can reduce the requirements for the experience of maintenance crews, accelerate maintenance speed, reduce maintenance cost, and increase electric energy production profitability. In this paper, a new hybrid fault diagnosis...

  • Article
  • Open Access
32 Citations
3,866 Views
22 Pages

As a result of the speed and availability of the Internet, mobile devices and apps are in widespread usage throughout the world. Thus, they can be seen in the hands of nearly every person, helping us in our daily activities to accomplish many tasks w...

  • Article
  • Open Access
13 Citations
2,899 Views
16 Pages

To realize the stable tracking control of the optoelectronic stabilized platform system under nonlinear friction and external disturbance, an active disturbance rejection controller (ADRC) with friction compensation is proposed to improve the target...

  • Article
  • Open Access
49 Citations
5,147 Views
12 Pages

With the large-scale use of the Internet of Things, security issues have become increasingly prominent. The accurate detection of network attacks in the IoT environment with limited resources is a key problem that urgently needs to be solved. The int...

  • Article
  • Open Access
23 Citations
6,567 Views
12 Pages

Detecting Human Falls in Poor Lighting: Object Detection and Tracking Approach for Indoor Safety

  • Xing Zi,
  • Kunal Chaturvedi,
  • Ali Braytee,
  • Jun Li and
  • Mukesh Prasad

Falls are one the leading causes of accidental death for all people, but the elderly are at particularly high risk. Falls are severe issue in the care of those elderly people who live alone and have limited access to health aides and skilled nursing...

  • Article
  • Open Access
16 Citations
3,840 Views
16 Pages

Object Detection for Hazardous Material Vehicles Based on Improved YOLOv5 Algorithm

  • Pengcheng Zhu,
  • Bolun Chen,
  • Bushi Liu,
  • Zifan Qi,
  • Shanshan Wang and
  • Ling Wang

Hazardous material vehicles are a non-negligible mobile source of danger in transport and pose a significant safety risk. At present, the current detection technology is well developed, but it also faces a series of challenges such as a significant a...

  • Article
  • Open Access
26 Citations
4,646 Views
16 Pages

SDRC-YOLO: A Novel Foreign Object Intrusion Detection Algorithm in Railway Scenarios

  • Caixia Meng,
  • Zhaonan Wang,
  • Lei Shi,
  • Yufei Gao,
  • Yongcai Tao and
  • Lin Wei

Foreign object intrusion detection is vital to ensure the safety of railway transportation. Recently, object detection algorithms based on deep learning have been applied in a wide range of fields. However, in complex and volatile railway environment...

  • Article
  • Open Access
6 Citations
2,594 Views
14 Pages

A Network Intrusion Detection Method Based on Domain Confusion

  • Yanze Qu,
  • Hailong Ma,
  • Yiming Jiang and
  • Youjun Bu

Network intrusion detection models based on deep learning encounter problems in the migration application. The performance is not as good as expected. In this paper, a network intrusion detection method based on domain confusion is proposed to improv...

  • Article
  • Open Access
5 Citations
2,403 Views
18 Pages

Edge computing is a promising technology to enable user equipment to share computing resources for task offloading. Due to the characteristics of the computing resource, how to design an efficient computation incentive mechanism with the appropriate...

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Electronics - ISSN 2079-9292