Riviste

  • Journal of Intelligent Computing and Engineering

     Journal of Intelligent Computing and Engineering (JICE)is a multidisciplinary scientific journal dedicated to advancing cutting-edge research in intelligent computing and technology-driven engineering. The journal publishes original research articles, comprehensive reviews, and experimental studies spanning a wide range of topics, including artificial intelligence, machine learning, intelligent systems, robotics, cloud computing, the Internet of Things (IoT), intelligent software engineering, and the application of computational technologies in innovative engineering solutions. Committed to academic excellence and practical impact, JICE provides a platform for researchers, academics, and industry practitioners to share groundbreaking insights that drive digital transformation and technological sustainability in the era of Industry 4.0 and beyond. Published periodically, the journal maintains rigorous peer-review standards to ensure scientific integrity and global relevance

     

    Journal title   Journal of Intelligent Computing and Engineering
    Abbreviation  J. Intell. Comput. Eng.
    Frequency  2 issues per year 
    Type of Review  Double Blind Review
    Online ISSN  
    Editor in Chief  Widi Aribowo
    Managing Editor  Aditya Prapanca
    Publisher  
    Citation Analysis  
    Abstracting & Indexing  

     

  • Journal of Artificial Intelligence and Data Science

    Journal of Artificial Intelligence and Data Science (JAIDS) is a reputable international academic journal dedicated to cutting-edge advancements in the fields of Artificial Intelligence (AI) and Data Science. Published periodically by Ascendium Academic Publishing, the journal provides a scholarly platform for researchers, academics, engineers, and industry practitioners to publish original findings, empirical studies, systematic reviews, and methodological innovations that significantly contribute to the development of theories, algorithms, applications, and ethical implications within the AI and Data Science ecosystem.

    The journal welcomes contributions across a broad spectrum of topics, including—but not limited to—machine learning, deep learning, natural language processing, computer vision, big data analytics, data mining, AI ethics, explainable AI (XAI), AI for social good, and the integration of AI and data science in diverse sectors such as healthcare, finance, education, and environmental sustainability.

    Ascendium Journal employs a rigorous peer-review process conducted by international experts to ensure the quality, originality, and scientific relevance of all published articles. Committed to the principles of open science, the journal operates under an open-access model, facilitating unrestricted global dissemination of knowledge regardless of geographic or institutional barriers.

    With a vision to become a leading platform in data-driven and AI-powered digital transformation, the Ascendium Journal of Artificial Intelligence and Data Science actively fosters interdisciplinary collaboration and the exploration of innovative, impactful solutions to the world’s most pressing challenges.

     

    Journal title  Journal of Artificial Intelligence and Data Science
    Abbreviation  Ascend. J. Artif. Intell. Data Sci.
    Frequency  2 issues per year 
    Type of Review  Double Blind Review
    Online ISSN  
    Editor in Chief  Wiyli Yustanti
    Managing Editor  Cendra Devayana Putra
    Publisher  
    Citation Analysis  
    Abstracting & Indexing