About the Journal
Artificial Intelligence and Digital Technology (AIDT) is a premier international, peer-reviewed open access journal. We are dedicated to publishing cutting-edge research and practical innovations that bridge the gap between theoretical AI and its real-world applications.
Our mission is to facilitate the integration of AI into diverse domains, from healthcare to industrial automation, fostering interdisciplinary collaboration and accelerating technological advancement in the digital era.
AIDT welcomes original research, reviews, and technical reports. To provide a structured platform, we categorize our scope into three core pillars:
- Healthcare & Diagnostics: Medical imaging, precision medicine, and disease prediction.
- FinTech & Decision Systems: Algorithmic trading, blockchain, and risk assessment.
- Smart Education: Intelligent tutoring, adaptive learning, and ed-tech analytics.
- Energy & Sustainability: Smart grids, renewable optimization, and predictive maintenance.
- Industrial Automation: Robotics, digital twins, and intelligent manufacturing.
- Digital Governance: Computational social science, ethics, and policy research.
- Machine Learning: Neural networks, deep learning, NLP, and reinforcement learning.
- Computer Vision: Image recognition, video analytics, and pattern recognition.
- Data Analytics: Big data mining, statistical modeling, and visualization.
- Quantum Computing: Algorithms, cryptography, and quantum ML.
- HCI: Interface design, VR/AR, and user experience.
- Signal Processing: Image/video processing, biomedical signals (EEG/ECG).
- Control Systems: Automation, adaptive control, and robotics applications.
- IoT & Cyber-Physical Systems: Sensor networks, edge computing, and industrial IoT.
- Communication Systems: Wireless protocols, 5G/6G, and information theory.
- Embedded Systems: Real-time systems and microcontroller applications.
- Open Access: AIDT publishes articles under the Creative Commons Attribution (CC BY 4.0) license.
- Publication Ethics: We adhere to the COPE guidelines. Plagiarism, data fabrication, and duplicate submissions are strictly prohibited.
- Submission: Manuscripts must be submitted via our Online Submission System. Please refer to the detailed Author Guidelines.
AIDT is committed to the permanent preservation of digital scholarship. We are actively working towards inclusion in major databases such as IEEE Xplore, Scopus, and Ei Compendex to ensure maximum visibility.
For inquiries regarding special issues or submissions:
Email: publication@soapubs.com
Address: Bridge Street, HR5 3DJ, Kington, United Kingdom






