Journal Summary
- Online ISSN: Pending
- Type: Journal
- Language: English
- Publisher: Future Publishing LLC
- Publication Frequency: 2 Issues per Year
Future Digital Technologies and Artificial Intelligence (FDTAI) is a peer-reviewed, open-access journal dedicated to advancing research across a broad spectrum of computing, data science, artificial intelligence (AI), and engineering disciplines. The journal serves as a platform for pioneering studies and interdisciplinary approaches that address the evolving challenges and opportunities in digital innovation and intelligent systems.
The journal welcomes contributions that advance theoretical frameworks, novel methodologies, and practical applications in areas such as Digital Technologies, Computer Science and Engineering, Data Science and Big Data Analytics, Computational Science, Cybersecurity, Artificial Intelligence (AI), AI for Security, Ethics and Trust, Autonomous Systems, Adversarial AI, AI Governance and Policy, Human-Centric AI Security, Quantum Computing and Security, Blockchain and decentralized systems, Blockchain and AI Integration, Smart Contracts and Security, Blockchain Governance and Policy, Machine Learning, Deep Learning, AI-Powered Defense Systems, Explainable AI (XAI), Adversarial Machine Learning, Internet of Things (IoT) Security, AI in IoT, IoT Data Privacy, IoT and Blockchain, Resilient IoT Systems, IoT Governance, and Ethics.
The journal welcomes contributions that advance theoretical frameworks, novel methodologies, and practical applications in areas such as Digital Technologies, Computer Science and Engineering, Data Science and Big Data Analytics, Computational Science, Cybersecurity, Artificial Intelligence (AI), AI for Security, Ethics and Trust, Autonomous Systems, Adversarial AI, AI Governance and Policy, Human-Centric AI Security, Quantum Computing and Security, Blockchain and decentralized systems, Blockchain and AI Integration, Smart Contracts and Security, Blockchain Governance and Policy, Machine Learning, Deep Learning, AI-Powered Defense Systems, Explainable AI (XAI), Adversarial Machine Learning, Internet of Things (IoT) Security, AI in IoT, IoT Data Privacy, IoT and Blockchain, Resilient IoT Systems, IoT Governance, and Ethics.
FDTAI is committed to fostering collaboration among researchers, practitioners, and industry leaders to drive the development of transformative technologies. With an emphasis on open access and high-impact contributions, the journal ensures that groundbreaking research is widely available to the global academic and professional community. By bridging the gap between theoretical advancements and real-world applications, Future Digital Technologies and Artificial Intelligence aims to shape the future of intelligent systems, computational sciences, and digital technologies for a smarter, more connected world.
Articles are published in English only.
All manuscripts sent for publication are checked to compare their similarity with other published works. For this purpose, we use Turnitin.
Articles are distributed according to the terms of the Creative Common CC BY 4.0 License.
Archiving: full-text archived in archive.org
Indexing: Google Scholar, Crossref
All manuscripts sent for publication are checked to compare their similarity with other published works. For this purpose, we use Turnitin.
Articles are distributed according to the terms of the Creative Common CC BY 4.0 License.
Archiving: full-text archived in archive.org
Indexing: Google Scholar, Crossref
Focus and Scopes
Future Digital Technologies and Artificial Intelligence (FDTAI) is a peer-reviewed, open-access journal dedicated to advancing research across a broad spectrum of computing, data science, artificial intelligence (AI), and engineering disciplines. The journal serves as a platform for pioneering studies and interdisciplinary approaches that address the evolving challenges and opportunities in digital innovation and intelligent systems.
FDTAI focuses on cutting-edge topics such as:
- Artificial Intelligence & Machine Learning: Development of novel AI models, deep learning techniques, and their applications in various industries.
- Data Science & Big Data Analytics: Advances in data processing, predictive analytics, and knowledge discovery.
- Computer Science & Engineering: Emerging research in computing architectures, algorithms, and high-performance computing.
- Cybersecurity & Privacy: Innovations in secure computing, cryptographic techniques, and AI-driven security solutions.
- Digital Technologies & Intelligent Systems: Smart computing solutions, IoT advancements, and real-world applications of intelligent automation.
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Computational Science & Engineering: Theoretical and applied research in computational methods for solving complex engineering and scientific problems.
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Blockchain & Decentralized Systems: Innovations in distributed ledger technologies, smart contracts, and blockchain applications in security, finance, and data integrity.
FDTAI is committed to fostering collaboration among researchers, practitioners, and industry leaders to drive the development of transformative technologies. With an emphasis on open access and high-impact contributions, the journal ensures that groundbreaking research is widely available to the global academic and professional community. By bridging the gap between theoretical advancements and real-world applications, Future Digital Technologies and Artificial Intelligence aims to shape the future of intelligent systems, computational sciences, and digital technologies for a smarter, more connected world.
Articles are published in English only.