Data Engineering and Visualization Journal of Artificial Intelligence

Editor in ChiefDr.Ramgopal Kashyap, Associate Professor, Amity University, J- 19, Rajdhani Vihar, Saddu, Raipur, Chhattisgarh, India 492014 Email Id- editor@devjai.com
Publication Frequency12 Issue per Year
Paper Submission ideditor@devjai.com

The aim of the Data Engineering and Visualization Journal of Artificial Intelligence (DEV-JAI) is to provide a platform for researchers, practitioners, and academicians to disseminate innovative research findings, advancements, and practical applications in the areas of data engineering, visualization, and artificial intelligence (AI). The journal strives to foster the exchange of knowledge, ideas, and best practices to promote the development and application of cutting-edge techniques in these interconnected fields.

Scope

DEV-JAI covers a wide range of topics that encompass the disciplines of data engineering, visualization, and AI. The journal invites high-quality submissions in the following areas:

Data Engineering:

Data integration, preprocessing, and transformation

Big data storage, retrieval, and processing

Data quality assessment and cleansing

Data governance, privacy, and security

Cloud-based and distributed data engineering

Data engineering for streaming and real-time analytics

Data engineering for Internet of Things (IoT) applications

Physical Education and Sport Science

Visualization Techniques:

Visual data exploration, analysis, and storytelling

Information visualization and visual analytics

Scientific and biomedical visualization

Interactive and immersive visualization

Visual representations and visual perception

Visualization for decision-making and knowledge discovery

Visualization for augmented and virtual reality applications

Artificial Intelligence Applications:

Machine learning and deep learning algorithms

Natural language processing and text analytics

Computer vision and image processing

Knowledge representation and reasoning

Intelligent systems and robotics

AI-driven automation and decision support systems

AI applications in healthcare, finance, manufacturing, and other domains

Topics of interest for paper submissions include, but are not limited to:

Management and Business:

Organizational behavior and leadership
Strategic management and innovation
Marketing and consumer behavior
Entrepreneurship and small business management
Human resource management and organizational development

Biotechnology:

Biomedical engineering and medical devices
Genomics, proteomics, and bioinformatics
Biopharmaceuticals and drug development
Agricultural biotechnology and crop improvement
Environmental biotechnology and bioenergy

Civil and Mechanical Engineering:

Structural engineering and materials science
Transportation systems and infrastructure
Environmental engineering and sustainable design
Energy systems and renewable technologies
Robotics, automation, and control systems

Architecture and Urban Planning:

Architectural design and theory
Urban planning and sustainable development
Heritage conservation and adaptive reuse
Building technology and construction management
Landscape architecture and urban design and many more……………………………………………..

The journal welcomes original research articles, review papers, case studies, and surveys that contribute to the understanding and advancement of data engineering, visualization, and AI. Interdisciplinary studies bridging these domains are encouraged.

DEV-JAI aims to serve as a platform for researchers, practitioners, and students to share their insights, experiences, and novel approaches in data engineering, visualization, and AI. The journal promotes the dissemination of knowledge, collaboration, and the application of state-of-the-art techniques to address challenges and explore new opportunities in the era of data-driven decision-making.

The Data Engineering and Visualization Journal of Artificial Intelligence follows a rigorous peer-review process to ensure the quality, originality, and relevance of published articles. The journal is committed to open access, making all published articles freely accessible, thereby facilitating the widespread dissemination of knowledge to a global audience.

By publishing in DEV-JAI, authors have the opportunity to contribute to the advancement of the fields of data engineering, visualization, and AI, and to have their work recognized by researchers, practitioners, and industry professionals worldwide.

For submission guidelines, editorial board details, and other relevant information, please visit the Data Engineering and Visualization Journal of Artificial Intelligence’s website or contact the editorial office directly.