Aim

The overarching aim of EETJ is to emerge as a pivotal catalyst for advancing the frontiers of knowledge in the dynamic realm of applied engineering. Our mission is to provide a distinguished platform that fosters rigorous research and facilitates the exchange of cutting-edge ideas, innovations, and best practices within the applied-engineering community and beyond. With a commitment to excellence, EETJ aspires to contribute significantly to the evolution and practical implementation of applied engineering methodologies, technologies, and applications, particularly tailored to this field's unique challenges and opportunities. By bringing together a diverse spectrum of researchers, academics, and experts, EETJ aims to create a collaborative environment where the latest developments in data science can be explored and leveraged to address real-world challenges. Our journal seeks to be a beacon for transformative research, empowering individuals and organizations to harness the power of data-driven insights and technological advancements for societal and economic benefit. In addition, EETJ strives to disseminate high-quality scholarly contributions and cultivate a community that actively engages in interdisciplinary discourse, fostering the cross-pollination of ideas and expertise. Through this commitment, IJDS aims to play a pivotal role in shaping the trajectory of data science and related fields, ultimately contributing to the scientific landscape's growth, innovation, and sustainable development.
  

Scope:

EETJ welcomes original research articles, reviews, and technical notes covering a wide spectrum of topics in applied engineering, including but not limited to:

• Electrical and Electronics Engineering: Network Technologies, Wireless Communication.
  Information Security, Artificial Intelligence in Computer and Communication Engineering, Cybersecurity and IT.
• Biomedical Engineering: Medical Imaging, Healthcare Technologies,
  Biomechanics, Artificial Intelligence in Medical Instrumentation and Biomedical Engineering.
• Control and System Engineering: Control Systems, Automation Technologies, Intelligent Unmanned Systems, Artificial Intelligence in Control and Automation Engineering