Titlebook: Advances in Information and Communication Technology; Proceedings of the 2 Phung Trung Nghia,Vu Duc Thai,Van-Nam Huynh Conference proceedin

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Conference proceedings 2023demia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies..The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU)..

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Julián Castro-Rea,Jessica Wellerications that can enhance people’s health and quality of life has been established thanks to the convergence of rich medical data with potent information technology. The detection and diagnosis of breast cancer is one of the key fields where biomedical data is used and labeled data plays an importan

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Claims for Secession and Federalismed patient outcomes. In this paper, we propose an innovative and comprehensive deep learning-based methodology for humeral fracture detection in X-ray images, utilizing the MURA dataset. Our approach is multi-faceted, integrating cutting-edge techniques across various stages of image processing and

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https://doi.org/10.1007/978-3-319-59707-2ntainers. Therefore, it is essential for many logistics enterprises. Previous studies take a long time by using many complex computing for extracting features and recognizing characters. In this paper, we propose a system for container code recognition with an improved method for code location and c

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Rechtliche Aspekte des Schutzes von Claims, for different purposes depending on the type of coconut and the purpose of harvesting such as for food, drink, and handicrafts. Coconut fruits are often harvested and classified according to the color of its shell. Harvesting coconut fruits at the right time will improve the quality of products mad

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Matthias Johannes Bauer,Dirk Jestaedtgs of genetic regulatory mechanisms, gene expression modalities, and the evolution of cellular physiological and developmental processes. However, the experimental delineation of mRNA subcellular localization imposes significant temporal and resource commitments. Despite the development of multiple

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https://doi.org/10.1007/978-3-319-31086-2rity attacks. Deploying Network-based Intrusion Detection Systems (NIDS) can effectively detect malicious traffic. However, a drawback of many existing methods is that once the model is deployed, it is no longer updated, resulting in inadequate predictive capabilities. To make NIDS adapt to new traf

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David W. Breneman,Paul E. Lingenfeltery. This has given rise to a range of technological solutions which stands out ongoing investigative pursuits directed at wearables have indicated a preference for machine learning models. Yet, the latent potential of more advanced and precise deep learning models remains largely untapped. However, w