About Us
Welcome to the Open Journal Systems of APSKIN , a comprehensive platform for scholarly publications and academic excellence. As a digital hub for knowledge sharing, we are committed to providing open access to high-quality research across various fields of study.
We are part of the future of scientific developments and discoveries. We uphold integrity and persistence in scholarly research publications, ensuring that each journal adheres to rigorous academic and ethical standards.
We are highly committed to upholding publication ethics by strictly following the guidelines set by the Committee on Publication Ethics (COPE) (https://publicationethics.org). To maintain academic integrity, we use Turnitin (https://www.turnitin.com) for similarity testing to prevent plagiarism violations. Additionally, we actively support the advancement of national journal accreditation through SINTA (https://sinta.kemdiktisaintek.go.id/journals).
Our mission is to foster a dynamic and collaborative academic environment that supports researchers in pursuing impactful and innovative studies. Through this portal, we aim to contribute to global academic discourse and promote meaningful advancements in science, technology, and the humanities.
Copyright ©2026 APSKIN
雑誌
-
International Journal of Artificial Data Utilization and Learning
The International Journal of Artificial Data Utilization and Learning (IJADUL) is a peer-reviewed, open-access journal dedicated to advancing research in artificial intelligence, data science, machine learning, and intelligent systems. IJADUL provides a global platform for researchers, academics, and practitioners to disseminate innovative findings and foster cross-disciplinary collaboration.
Scope & Focus Areas
IJADUL publishes original research articles, review papers, and technical reports in the following domains:
• Artificial Intelligence : Machine learning, deep learning, neural networks, reinforcement learning, and cognitive computing
• Data Science & Analytics : Big data processing, data mining, predictive analytics, statistical modeling, and data visualization
• Intelligent Systems : Expert systems, decision support systems, knowledge-based systems, and fuzzy logic applications
• Robotics & Automation : Autonomous robots, humanoid robotics, industrial automation, swarm intelligence, and human-robot interaction
• Internet of Things (IoT) : Smart systems, edge computing, sensor networks, and ubiquitous computing
• Natural Language Processing : Text mining, sentiment analysis, language models, and computational linguistics
• Computer Vision : Image recognition, object detection, video analytics, and pattern recognition
• Emerging Technologies : Quantum computing applications in AI, neuromorphic computing, and edge AI
