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  • Information Technologies, Data Science, and Artificial Intelligence: From Theory to Applied Solutions
    No. 001 (2025)

    The editorial board invites researchers, engineers, and practitioners to contribute papers examining the latest advances in IT, data science, and artificial intelligence. As digital ecosystems expand and computational capabilities grow, intelligent technologies increasingly shape scientific discovery, business processes, and public services. This issue aims to explore how theoretical breakthroughs transform into practical solutions capable of addressing real-world challenges across disciplines.

    We welcome interdisciplinary research that integrates computer science, mathematics, engineering, data analytics, and domain-specific applications.

    Suggested topics include, but are not limited to:

    • fundamental principles and emerging trends in IT, artificial intelligence, and machine learning

    • mathematical methods, computational modeling, and algorithmic design in data science

    • data analysis techniques, big data processing, and predictive analytics

    • neural networks, deep learning architectures, and information processing methods

    • intelligent decision-support systems and expert systems

    • computer vision, pattern recognition, and multimodal technologies

    • high-performance computing architectures and scalable systems

    • the Internet of Things, cyber-physical systems, and sensor networks

    • cybersecurity, data protection, and digital identity management

    • applied IT solutions across industry, education, healthcare, energy, and other sectors

    Types of submissions invited:

    • original research articles (theoretical, experimental, or mixed approaches)

    • analytical and comparative studies of digital systems and computational methods

    • thematic case studies and applied implementations

    • systematic reviews and critical evaluations of current technologies

    The editorial team seeks contributions that present novel methodologies, empirical evidence, and practical insights advancing the development of intelligent and data-driven technologies.

    Articles will be published on a rolling basis following successful peer review.
    Manuscripts should be submitted to welcome@delapress.com.

    An article processing fee of 50 euros applies. The invoice will be issued after the manuscript passes peer review.