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Titlebook: Applied Informatics; 7th International Co Hector Florez,Hernán Astudillo Conference proceedings 2025 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-21 18:45:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Informatics
期刊簡(jiǎn)稱7th International Co
影響因子2023Hector Florez,Hernán Astudillo
視頻videohttp://file.papertrans.cn/168/167510/167510.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Applied Informatics; 7th International Co Hector Florez,Hernán Astudillo Conference proceedings 2025 The Editor(s) (if applicable) and The
影響因子.The two-volume set CCIS 2236 and 2237 constitutes the refereed proceedings of the 7th International Conference on Applied Informatics, ICAI 2024, held in Vina del Mar, Chile, during October 24–26, 2024...The 39 full papers presented in these proceedings were carefully reviewed and selected from 123 submissions. The papers were organized in the following topical sections:..Part I -?Artificial Intelligence;?Bioinformatics;?Cloud Computing;?Data Analysis;?Decision Systems; and?Game Development...Part II -?Health Care Information Systems;?Interdisciplinary Information Studies;?Learning Management Systems;?Natural Language Processing;?Social and Behavioral Applications;?Software and Systems Modeling; and?Software Architectures..
Pindex Conference proceedings 2025
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書目名稱Applied Informatics影響因子(影響力)




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Deep Convolutional Neural Network for?Autonomic Function Estimation in?Intensive Care Patientsent options. We implemented a?novel convolutional neural network (CNN) algorithm to categorize?the status of the autonomic nervous system (ANS) into three classes: basal state (BS) without any system dominance, sympathetic nervous system dominance state (SDS), and parasympathetic nervous system domi
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NetScribed: A Deep Learning Approach for?Machine-Based Melody Transcription of?Audio Filesic representation. This paper uses?deep learning methods and models AMT as a translation problem, comparing the effectiveness of an instance-based translation approach using?an MLP to a sequence-based approach using an RNN. The models?were trained on the EsAc dataset and evaluated using MUSTER metri
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Safeguarding Patient Data: Advanced Security in Wireless Body Area Networks and AI-Driven HealthcareAN allows for the real-time transmission of patient information to healthcare providers, reducing the need for constant in-person monitoring and hospital stays for data collection. However, WBAN technology is vulnerable to significant cybersecurity risks, such as eavesdropping and man-in-the-middle
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YOLO Convolutional Neural Network for?Building Damage Detection in?Hydrometeorological Disasters Usipid onset, and significant destructive capacity. Consequently, countries invest substantial resources?in implementing pre- and post-disaster measures, including prevention, and reconstruction. Developing countries, however, face stronger budgetary constraints and continuously depend on international
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