Artificial Intelligence and Digital Technology (AIDT)
Artificial Intelligence and Digital Technology（AIDT） is an international, peer-reviewed open-access journal dedicated to publishing cutting-edge research, comprehensive reviews, and insightful commentary in the fields of computer science, signal processing, and systems engineering. Our mission is to advance the understanding of these dynamic fields and drive technological innovation by disseminating high-quality research that is accessible to a global audience.
Aims & Scope
Artificial Intelligence and Digital Technology（AIDT） is an international, peer-reviewed open-access journal dedicated to publishing cutting-edge research, comprehensive reviews, and insightful commentary in the fields of computer science, signal processing, and systems engineering. Our mission is to advance the understanding of these dynamic fields and drive technological innovation by disseminating high-quality research that is accessible to a global audience.
Aims
- To advance the understanding of computer science, signal processing, and systems engineering by publishing cutting-edge research, comprehensive reviews, and insightful commentary.
- To drive technological innovation in these dynamic fields by disseminating high-quality, peer-reviewed open-access research accessible to a global audience.
- To provide an international platform for researchers, engineers, and practitioners to share breakthrough findings, technical insights, and practical applications in AI and digital technology.
- To foster interdisciplinary collaboration and knowledge exchange, supporting the development of new technologies and solutions for real-world challenges in digital innovation.
Scope
The journal covers a wide range of topics related to artificial intelligence and digital technology, including but not limited to:
Artificial Intelligence and Computer Science
- Machine learning and deep learning, including neural networks, pattern recognition, natural language processing, computer vision, and AI applications
- Algorithms and computational theory, including algorithm design, optimization, distributed computing, and computational complexity analysis
- Software engineering and intelligent systems, including software architecture, intelligent agents, robotics, and AI-driven system design
- Cybersecurity and data science, including data mining, big data analytics, privacy-preserving AI, and digital security technologies
Signal Processing and Systems Engineering
- Digital signal and image processing, including signal analysis, audio/video processing, multi-dimensional signal processing, and feature extraction
- Communication and network systems, including telecommunications, wireless networks, IoT systems, and next-generation communication technologies
- Control and embedded systems, including control engineering, embedded systems design, automation, robotics, and feedback control systems
- Interdisciplinary digital technology applications, including cyber-physical systems, AI in signal processing, smart systems, and integrated digital solutions