About the Journal
The Global Journal of Pure and Applied Artificial Intelligence (GJPAAI) is a scholarly, peer-reviewed journal focused on publishing high-quality research in the rapidly advancing field of Artificial Intelligence (AI). It serves as a platform for scientists, researchers, and professionals to share innovative and impactful studies, methodologies, and applications related to AI.
Key Aspects of the Journal:
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Scope and Coverage:
- The journal covers a wide range of topics within AI, including both pure theoretical advancements and applied research.
- Pure AI focuses on the fundamental principles, algorithms, and computational models that underpin artificial intelligence.
- Applied AI explores the real-world applications of AI in fields such as healthcare, robotics, natural language processing, machine learning, data science, and more.
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Interdisciplinary Nature:
- AI is a highly interdisciplinary field, and the journal embraces contributions from various related disciplines such as computer science, engineering, mathematics, and cognitive science.
- Research that bridges the gap between theoretical AI and its practical implementations in industry and society is especially welcomed.
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Types of Contributions:
- Original Research Articles: Full-length papers presenting novel AI algorithms, techniques, and applications.
- Review Papers: Comprehensive surveys of recent advancements, trends, and future directions in AI.
- Case Studies: Practical examples of AI technologies deployed in real-world scenarios.
- Short Communications: Brief, concise papers highlighting cutting-edge research in AI.
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Editorial Standards:
- The journal follows a rigorous peer-review process to ensure the quality, accuracy, and relevance of the published content.
- Submissions are reviewed by experts in the field, ensuring the work is both scientifically sound and impactful.
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Global Reach:
- The journal aims to publish groundbreaking research from around the world, promoting a global exchange of knowledge in AI.
- It encourages submissions from researchers, practitioners, and institutions with diverse perspectives on AI development.
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Innovative Technologies and Trends:
- Topics of interest include but are not limited to machine learning, deep learning, neural networks, robotics, computer vision, AI ethics, and autonomous systems.
- The journal also addresses emerging areas such as AI in healthcare, AI and big data, and AI in industry.
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Audience:
- Researchers, academics, and professionals in the field of Artificial Intelligence and related areas.
- AI enthusiasts and students interested in keeping up with the latest developments in AI theory and applications.
Mission:
The mission of GJPAAI is to promote scientific understanding, innovation, and practical applications of artificial intelligence in diverse domains. It seeks to provide a platform for high-quality research that can contribute to the advancement of AI technologies and their integration into solving global challenges.