You are currently viewing a new version of our website. To view the old version click .

Electronics, Volume 14, Issue 1

January-1 2025 - 213 articles

Cover Story: To track accelerating targets in dynamic environments, unmanned aerial vehicles (UAVs) require precise online path planning. This work describes an Acceleration-Based Potential Field (ABPF) approach that incorporates relative acceleration into the attractive field to achieve smoother trajectories and rapid responses. Simulations and experiments using UAVs revealed considerable improvements in tracking circular, infinite, and helical trajectories. The ABPF methodology beat standard methods by 50%, demonstrating its potential for precision applications, such as soft landings over moving objects. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (213)

  • Article
  • Open Access
1 Citations
2,136 Views
21 Pages

Respiratory diseases pose a significant threat to global public health, as exemplified by the COVID-19 pandemic. Molecular communication (MC), as a new method in communication systems, provides a framework for the modeling of diseases. Current studie...

  • Article
  • Open Access
1,216 Views
22 Pages

Application of Reduced Order Surrogate Models in Compatible Determination of Material Properties Profiles by Eddy Current Method

  • Volodymyr Y. Halchenko,
  • Ruslana Trembovetska,
  • Volodymyr Tychkov,
  • Viacheslav Kovtun and
  • Nataliia Tychkova

A number of computer experiments have investigated the effectiveness in terms of accuracy of the method for simultaneously determining the distributions of electrical conductivity and magnetic permeability in the subsurface zone of planar conductive...

  • Article
  • Open Access
1 Citations
2,958 Views
22 Pages

A Fine-Grained Car Recognition Method Based on a Lightweight Attention Network and Regularized Fine-Tuning

  • Cheng Zhang,
  • Qiaochu Li,
  • Chang Liu,
  • Yi Zhang,
  • Ding Zhao,
  • Chao Ji and
  • Jin Wang

Car fine recognition is a typical scenario for fine-grained image classification, which has great research and application value in both civilian and military fields. However, current research on fine-grained classification is often limited to improv...

  • Article
  • Open Access
1 Citations
1,447 Views
18 Pages

Feature-Level Image Fusion Scheme for X-Ray Multi-Contrast Imaging

  • Zhuo Zuo,
  • Jinglei Luo,
  • Haoran Liu,
  • Xiang Zheng and
  • Guibin Zan

Since the mid-1990s, X-ray phase contrast imaging (XPCI) has attracted increasing interest in the industrial and bioimaging fields due to its high sensitivity to weakly absorbing materials and has gained widespread acceptance. XPCI can simultaneously...

  • Article
  • Open Access
1,393 Views
18 Pages

The segmentation of visible ship images is an important part of intelligent ship monitoring systems. However, this task is faced with many difficulties in practical applications, such as complex background environments, variations in illumination, an...

  • Article
  • Open Access
4 Citations
3,233 Views
19 Pages

Regular inspection of urban drainage pipes can effectively maintain the reliable operation of the drainage system and the production safety of residents. Aiming at the shortcomings of the CCTV inspection method used in the drainage pipe defect detect...

  • Article
  • Open Access
1 Citations
1,060 Views
15 Pages

Session-based recommendation (SBR) aims to predict potential user interactions within an anonymous session. It utilizes learned user interests to recommend items. As research has progressed, researchers have shifted towards exploring user initial int...

  • Article
  • Open Access
1 Citations
1,443 Views
17 Pages

ETFRE: Entity–Type Fusing for Relation Extraction

  • Peilin Shi,
  • Bin Zhang,
  • Yingkun Liu and
  • Cheng Fang

This paper proposes a relational extraction framework based on entity–type information fusion by Transformer model. Relational extraction, as an important part of knowledge graph construction, has been paid much attention in recent years. The e...

  • Article
  • Open Access
5 Citations
1,850 Views
19 Pages

Optimal Scheduling of Extreme Operating Conditions in Islanded Microgrid Based on Model Predictive Control

  • Shi Su,
  • Pengfei Ma,
  • Qingyang Xie,
  • Jie Liu,
  • Xiangtao Zhuan and
  • Lei Shang

To address the optimal scheduling of islanded microgrids under extreme operating conditions, this paper proposes a demand response (DR) economic optimization scheduling strategy based on model predictive control (MPC). The strategy improves the utili...

  • Article
  • Open Access
3 Citations
2,475 Views
19 Pages

Path Planning for Autonomous Balloon Navigation with Reinforcement Learning

  • Yingzhe He,
  • Kai Guo,
  • Chisheng Wang,
  • Keyi Fu and
  • Jiehao Zheng

In the stratosphere, the use of winds to navigate balloons has emerged as a practical approach for Earth observation, collecting meteorological data, and other applications. However, controlling such balloons is challenging due to imperfect wind data...

of 22

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Electronics - ISSN 2079-9292