Elektronika Ir Elektrotechnika
Scope & Guideline
Leading the Charge in Electrical and Electronic Scholarship
Introduction
Aims and Scopes
- Machine Learning and AI Applications:
The journal showcases research on the application of machine learning and artificial intelligence in various fields, including predictive modeling, fault detection, and control systems. - Control Systems and Automation:
A significant focus on control systems, particularly in the context of renewable energy, robotics, and industrial automation, reflecting the journal's commitment to advancing automation technologies. - Signal Processing and Communication Technologies:
Research on signal processing techniques, including image processing, communication systems, and data analysis, highlighting the importance of these technologies in modern engineering. - Renewable Energy Systems:
A core area of research that addresses the design, optimization, and control of renewable energy systems, including solar, wind, and hybrid energy solutions. - Biomedical Engineering:
Exploration of biomedical applications through electronics and signal processing, such as biometric authentication and medical diagnostics, bridging engineering and healthcare. - Smart Technologies and IoT:
The integration of smart technologies and Internet of Things (IoT) applications is prominent, focusing on enhancing efficiency and automation in various sectors. - Hardware Design and Development:
Innovative hardware solutions and designs, including antennas, filters, and other electronic components, are regularly featured to support advancements in electronics.
Trending and Emerging
- Explainable AI and Machine Learning:
The rise of explainable AI techniques in machine learning applications is gaining attention, particularly in areas such as predictive modeling and signal interpretation, emphasizing the need for transparency in AI-driven decisions. - Digital Twins and Smart Systems:
The concept of digital twins in intelligent connected systems is emerging as a significant theme, highlighting the importance of real-time data-driven decision-making in various industries. - Advanced Control Techniques for Renewable Energy:
Innovative control strategies, including reinforcement learning for energy systems, are trending, reflecting the demand for efficient management of renewable energy sources. - Integration of IoT in Smart Applications:
The integration of IoT technologies into everyday applications is increasingly prominent, focusing on enhancing automation and connectivity across various sectors. - Biometric and Security Solutions:
Research on biometric systems and security solutions, particularly using AI and machine learning, is gaining traction, addressing the growing need for secure authentication methods. - Seismic and Environmental Monitoring:
Emerging themes in seismic signal processing and environmental monitoring technologies are becoming increasingly relevant, driven by the need for disaster management and ecological sustainability.
Declining or Waning
- Traditional Electrical Engineering Topics:
There has been a noticeable decrease in publications focusing solely on traditional electrical engineering topics, such as basic circuit design and analysis, as the journal shifts towards more interdisciplinary and applied research. - Conventional Signal Processing Techniques:
Research centered on conventional signal processing methods appears to be less frequent, as more innovative and complex approaches like deep learning-based techniques gain traction. - Standalone Hardware Developments:
The focus on standalone hardware developments without integration into broader systems or applications is diminishing, with an increasing emphasis on system-level design and applications. - General Theoretical Studies:
The journal has moved away from purely theoretical studies that lack practical applications, favoring research that demonstrates real-world relevance and implementation.
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