About the Journal

Artificial Intelligence and Digital Technology (AIDT) is an international, peer-reviewed open access journal that focuses on cutting-edge research and practical innovations in artificial intelligence, machine learning, and emerging digital technologies. The journal aims to promote the dissemination of knowledge and the integration of AI into diverse domains, fostering interdisciplinary collaboration and technological advancement.

Artificial Intelligence and Digital Technology (AIDT) welcomes original research articles, reviews, and technical reports covering both theoretical and applied aspects of AI. In particular, it encourages submissions exploring the application of artificial intelligence in interdisciplinary fields, including but not limited to:

• Healthcare and Medical Diagnostics: AI-assisted medical imaging, clinical decision support systems, precision medicine, remote healthcare, and disease prediction models.

• Financial Technology and Intelligent Decision Systems: Algorithmic trading, credit risk assessment, fraud detection, blockchain-based finance, and intelligent financial analytics.

• Smart Education and E-Learning: Intelligent tutoring systems, adaptive learning technologies, virtual classrooms, and AI-driven education analytics.

• Energy Management and Sustainable Development: Smart grids, renewable energy optimization, predictive maintenance for energy systems, and AI for environmental sustainability.

• Industrial Automation and Intelligent Manufacturing: Robotics, predictive maintenance, process optimization, digital twins, and AI-enabled industrial control systems.

• Social Sciences, Humanities, and Digital Governance: Computational social science, digital ethics, smart governance systems, social data analytics, and AI policy research.

• Computer Science and Engineering: Algorithms, data structures, software engineering, cybersecurity, computer architecture, and computational theory.
• Signal Processing: Image and video processing, digital and analog signal processing, sensor array processing, and multimedia signal analysis.
• Systems Engineering: Systems modeling and simulation, systems analysis, cyber-physical systems, and complex adaptive systems.
• Control Systems: Automation, robotics, control theory, adaptive and predictive control, and control applications in industrial systems.
• Machine Learning and Artificial Intelligence: Neural networks, deep learning, natural language processing, reinforcement learning, and AI applications in diverse fields.
• Data Analytics and Big Data: Data mining, statistical modeling, data visualization, and applications in large-scale data environments.
• Communication Systems: Wireless communication, network protocols, Internet of Things (IoT), and information theory.
• Embedded and Real-Time Systems: Embedded programming, real-time systems, edge computing, and microcontroller applications.
• Computer Vision and Pattern Recognition: Object detection, image recognition, video analytics, and machine vision.
• Quantum Computing: Quantum algorithms, quantum machine learning, cryptography, and quantum communication.
• Human-Computer Interaction: Interface design, user experience, virtual and augmented reality, and interaction technologies.
• Biomedical Signal Processing: Biomedical image processing, EEG and ECG analysis, wearable health technologies, and diagnostic systems.
• Internet of Things (IoT) and Cyber-Physical Systems: IoT applications, smart systems, sensor networks, and industrial IoT.

We encourage submissions that provide substantial insights into computational methodologies, signal processing advancements, system modeling, and cutting-edge applications. Our objective is to support the development of research that addresses both foundational and applied aspects across these disciplines.

The journal serves a broad audience of researchers, practitioners, engineers, and academics interested in the latest developments in computer science, signal processing, systems engineering, and control technology. Artificial Intelligence and Digital Technology (AIDT) is a trusted resource for readers seeking to stay informed on the latest research and trends within these fields.

• Open Access: Ensuring free and unrestricted access to research for a global audience.
• Rigorous Peer Review: Committed to high academic standards through an extensive peer review process.
• Timely Publication: Offering an efficient review process to expedite research dissemination.
• Global Reach: Enhancing visibility and fostering international collaborations.