Information Technology

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https://oerrepository.ntt.edu.vn/handle/298300331/491

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Đang duyệt Information Technology theo Chủ đề

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  • Hình ảnh thu nhỏ
    Tài liệu
    Advanced Image Processing and Computer Vision
    (MDPI, 2025) Tomassini, Selene; Dewan, M. Ali Akber
    Advanced image processing (AIP) and computer vision (CV) remain dynamic and rapidly evolving research areas that drive innovation across a wide range of real-world applications. AI has become a fundamental enabler of AIP and CV, enhancing their capabilities and expanding their impact in multiple domains. While current AI-based algorithms have achieved impressive results through data-driven approaches, many challenges persist, particularly when dealing with limited or low-quality data. These limitations highlight the need for novel methods that are capable of improving accuracy, robustness, and adaptability in complex environments. This Reprint brings together original research articles, comprehensive reviews, and in-depth technical studies focused on the development and application of innovative AI-based algorithms for AIP and CV. It emphasizes emerging approaches that address data scarcity, optimize performance in critical settings, and align with human-centric principles, including ethical and fair AI. Although special attention is given to medical and healthcare applications, the Reprint also reflects the broader relevance of these technologies across agriculture, environmental monitoring, and other applied fields.
  • Hình ảnh thu nhỏ
    Tài liệu
    Advancements in Natural Language Processing, Semantic Networks, and Sentiment Analysis
    (MDPI, 2025) García-Méndez, Silvia; Costa-Montenegro, Enrique; Arriba-Pérez, Francisco De
    This Special Issue examines the intersection of NLP, semantic networks, and sentiment analysis, exploring how these technologies can contribute to more intelligent systems. The contributions gathered address, among other topics, the detection of irony and sarcasm, the generation of semantic explanations, the automatic construction of semantic graphs, the expansion of linguistic resources for underrepresented languages, and the use of large language models. Ultimately, this Special Issue aims not only to reflect the state of the art in the areas above but also to stimulate critical reflection on the methodological challenges, ethical implications, and interdisciplinary opportunities that arise at the intersection of computational linguistics and artificial intelligence.
  • Hình ảnh thu nhỏ
    Tài liệu
    Foundations of Software Science and Computation Structures
    (SpringerLink, 2018) Baier, Christel; Lago, Ugo Dal
    This book constitutes the proceedings of the 21st International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2018, which took place in Thessaloniki, Greece, in April 2018, held as part of the European Joint Conference on Theory and Practice of Software, ETAPS 2018. The 31 papers presented in this volume were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections named: semantics; linearity; concurrency; lambda-calculi and types; category theory and quantum control; quantitative models; logics and equational theories; and graphs and automata.