Mission

The primary goal of JOINDATA is to serve as a leading, peer-reviewed platform dedicated to advancing the field of data science and its practical applications. Affiliated with Sakarya University of Applied Sciences, our mission is to provide a robust space for researchers, scientists, engineers, and practitioners to explore the latest developments in intelligent systems, AI, data science, computer science and engineering, IoT, and knowledge management across diverse domains.

Aims

Specifically, JOINDATA aims to:

• Act as a beacon in the dynamic digital landscape, offering a reliable platform for researchers to delve into cutting-edge advancements through the submission and publication of high-quality research papers.
• Foster collaboration and knowledge exchange among experts worldwide by actively seeking and publishing contributions that focus on the integration of intelligent systems and data science across various academic fields.
• Serve as a conduit for innovation and knowledge dissemination, contributing to the ongoing progress in the field of data science and its practical applications.
• Offer a reliable and comprehensive platform for scholars and researchers, ensuring accessibility and visibility of cutting-edge advancements to a global audience.
  

Scope

Our journal, JOINDATA, comprehensively covers a diverse array of topics within the realms of intelligent systems, artificial intelligence (AI), data science, computer science and engineering, as well as knowledge management. We invite and encourage submissions that explore the latest research in these broad areas, embracing a wide spectrum of subjects, including but not limited to:

1. Intelligent Systems and Artificial Intelligence: Advances in intelligent systems and the broader field of artificial intelligence.
2. 2. Data Science and Machine Learning: Cutting-edge research in data science and machine learning methodologies
3. Computer Science and Engineering: Contributions related to various aspects of computer science and engineering.
4. Knowledge Management and Knowledge Engineering: Exploration of knowledge management practices and knowledge engineering advancements.
5. Natural Language Processing and Speech Recognition: Innovations in natural language processing and speech recognition technologies
6. Human-Computer Interaction and User Experience: Research on human-computer interaction and the enhancement of user experience.
7. Big Data Analytics and Visualization: Advancements in big data analytics techniques and visualization methods.
8. Blockchain Technology and its Applications: Studies on blockchain technology and its diverse applications.
9. Computer Vision, Image Processing, and Multimedia Technologies: Developments in computer vision, image processing, and multimedia technologies.
10. Internet of Things (IoT): Research on the Internet of Things, including its applications and advancements.
11. Cloud Computing and Distributed Systems: Advances in cloud computing technologies and distributed systems.

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