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Electronics
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Advances in Electronics, Communication, and Automation
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Advances in Electronics, Communication, and Automation

A special issue of Electronics (ISSN 2079-9292).

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1930

Special Issue Editors

Prof. Dr. Yi-Fei Pu

E-Mail Website
Guest Editor
College of Computer Science, Sichuan University, Chengdu 610065, China
Interests: signal processing; image processing; circuits and systems; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Adrian Ioinovici

E-Mail Website
Guest Editor
Power Electronics based on Switched Capacitors Center, Shanghai University of Electrical Power, Shanghai 200090, China
Interests: switching-capacitor converters and inverters; large DC gain converters; soft-switching converters
Special Issues, Collections and Topics in MDPI journals
Dr. Muhammad Aamir

E-Mail
Guest Editor
Department of Computer Science, Huanggang Normal University, Huanggang 438000, China
Interests: pattern recognition; computer vision; image processing; deep learning

Special Issue Information

Dear Colleagues,

In today's interconnected world, the fields of electronics, communication, and automation have become increasingly intertwined, driving innovation and progress across multiple industries.

2024 International Conference on Electronics, Communication, and Automation (ECA 2024) will be held from 9–10 November 2024 in Beijing, China, and organized by Hubei Zhongke Institute of Geology and Environment Technology. ECA 2024 will bring together scientists, researchers, and engineers from all around the world to present scientific research and technology development in the field of electronics, communication, and automation.

This Special Issue presents a compilation of cutting-edge research, developments, and technological advancements in these areas, providing a comprehensive overview of the current state of the art and offering insights into future trends. Topics of interest include, but are not limited to, the following:

  • Innovative electronics: Novel semiconductor materials and devices; Microelectromechanical systems (MEMS) and nanoelectromechanical systems (NEMS); Smart sensors and actuators for Internet of Things (IoT) and wearable technology; Power electronics and energy-efficient circuits for renewable energy systems
  • Communication systems and networks: 5G and beyond (6G) wireless communication technologies; Optical and quantum communication systems; Network architecture, protocols, and algorithms for high-speed, low-latency networks
  • Automation and control systems: Industrial automation and Industry 4.0 concepts; Robotics and autonomous systems, including swarm robotics and soft robotics; Machine learning and artificial intelligence in control systems
  • Signal processing and data analytics: Advanced signal processing techniques for big data and real-time applications; Machine learning and deep learning algorithms for pattern recognition and anomaly detection; Edge computing and fog computing for distributed data processing
  • Integrated systems and applications: Smart grid and energy management systems; Intelligent transportation systems and autonomous vehicles

Prof. Dr. Yi-Fei Pu
Prof. Dr. Adrian Ioinovici
Dr. Muhammad Aamir
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • semiconductor
  • microelectromechanical systems
  • smart sensors
  • power electronics
  • communication systems
  • robotics
  • signal and data processing
  • machine learning

Benefits of Publishing in a Special Issue

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

19 pages, 3508 KiB  
Article
Forecasting Heart Disease Risk with a Stacking-Based Ensemble Machine Learning Method
by Yuanyuan Wu, Zhuomin Xia, Zikai Feng, Mengxing Huang, Huizhou Liu and Yu Zhang
Electronics 2024, 13(20), 3996; https://doi.org/10.3390/electronics13203996 - 11 Oct 2024
Viewed by 1022
Abstract
As one of the main causes of sickness and mortality, heart disease, also known as cardiovascular disease, must be detected early in order to be prevented and treated. The rapid development of computer technology presents an opportunity for the cross-combination of medicine and [...] Read more.
As one of the main causes of sickness and mortality, heart disease, also known as cardiovascular disease, must be detected early in order to be prevented and treated. The rapid development of computer technology presents an opportunity for the cross-combination of medicine and informatics. A novel stacking model called SDKABL is presented in this work. It uses three classifiers, namely K-Nearest Neighbor (KNN), Decision Tree (DT), and Support Vector Machine (SVM) at the base layer and the Bidirectional Long Short-Term Memory based on Attention Mechanisms (ABiLSTM) model at the meta layer for the ultimate prediction. For lowering the temporal complexity and enhancing the model’s accuracy, the dimensionality reduction approach is seen to be crucial. Principal Component Analysis (PCA) was utilized in SDKABL to minimize dimensionality and facilitate feature fusion. Using several performance measures, including precision, F1-score, accuracy, recall, and Receiver Operating Characteristic (ROC) score, the performance of SDKABL was compared to that of other independent classifiers. The experimental findings demonstrate that our proposed model combining individual classifiers with the stacking method helps improve the prediction model’s accuracy. Full article
(This article belongs to the Special Issue Advances in Electronics, Communication, and Automation)
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16 pages, 5731 KiB  
Article
Performance Analysis and Optimization of Switch Device for VLF Communication Synchronous Tuning System Based on Coupled Inductors
by Shize Wei, Xu Xie and Hao Zuo
Electronics 2024, 13(17), 3457; https://doi.org/10.3390/electronics13173457 - 30 Aug 2024
Viewed by 380
Abstract
The very low frequency (VLF) communication system is characterized by a limited transmit bandwidth. Due to the low operating frequency, the dimensions of VLF antennas are significantly smaller than the corresponding wavelength. Therefore, VLF antennas are considered electrically small antennas (ESAs) with high [...] Read more.
The very low frequency (VLF) communication system is characterized by a limited transmit bandwidth. Due to the low operating frequency, the dimensions of VLF antennas are significantly smaller than the corresponding wavelength. Therefore, VLF antennas are considered electrically small antennas (ESAs) with high Q values and narrow bandwidth. To achieve broadband VLF communication, synchronous tuning technology is commonly employed. In this study, we focus on analyzing the performance of the switching device in the synchronous tuning system using coupled inductors and IGBT as core components. By considering the equivalent circuit of the controlled source associated with coupled inductors, we propose an adaptive input impedance optimization algorithm based on the variable capacitor (hereinafter referred to as VC-ADIO) to address issues arising from coupling coefficient variations and internal parameters within IGBTs that affect primary loop input impedance. The radiated power of the VLF antenna is improved effectively. Full article
(This article belongs to the Special Issue Advances in Electronics, Communication, and Automation)
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