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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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發(fā)表于 2025-3-21 18:18:31 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Information and Communication Technology
期刊簡稱Proceedings of the 2
影響因子2023Phung Trung Nghia,Vu Duc Thai,Van-Nam Huynh
視頻videohttp://file.papertrans.cn/149/148438/148438.mp4
發(fā)行地址Presents selected articles from the 2nd International Conference on Advances in Information and Communication Technology.Provides state-of-the-art information and communication technology research and
學(xué)科分類Lecture Notes in Networks and Systems
圖書封面Titlebook: Advances in Information and Communication Technology; Proceedings of the 2 Phung Trung Nghia,Vu Duc Thai,Van-Nam Huynh Conference proceedin
影響因子.This book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd? International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth...The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia 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)..
Pindex Conference proceedings 2023
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https://doi.org/10.1007/978-3-319-59707-2ion Awareness for Text detection - a neural network with deep learning, is used to recognize a text from the letter region as well as a text from the digit region. Post processing is applied to improve results of code recognition based on knowledge of similar characters and two parts of a container
地板
發(fā)表于 2025-3-22 06:56:41 | 只看該作者
Julián Castro-Rea,Jessica Wellersystem performance. The new loss function is employed in a multi-stage training strategy, yielding enhanced retriever performance at each training stage. To further augment the system‘s capabilities, we train a cross-encoder to construct a robust retriever for domain-specific datasets. The effective
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發(fā)表于 2025-3-22 09:56:01 | 只看該作者
Matthias Johannes Bauer,Dirk Jestaedtrtinent features extracted from the input sequencing data. Additionally, the model dynamically adjusts the weightages of functions and the minority class, through the modulation of the weight ratio of disparate models during their contribution to the principal model. Overall, our model delivers prom
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發(fā)表于 2025-3-22 13:14:59 | 只看該作者
David W. Breneman,Paul E. Lingenfelter potential for improvement, we put forth a system that estimates breathing rate and classifies sleep positions, amalgamating accelerometers, and an LSTM deep learning model in an innovative manner. In this experimentation phase, data was sourced from 10 adolescents who exhibited dynamic breathing pa
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David W. Breneman,Paul E. Lingenfeltere system can automatically generate alert information when identifying high-density camera areas, enabling security staff to take corrective measures to manage the crowd and prevent overcrowding before it happens. The proposed system provides a reliable approach for real-time crowd detection, which
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發(fā)表于 2025-3-23 04:42:37 | 只看該作者
Cultural Boundaries: Settled and Unsettled,ng fuzzy min max neural network. Four of the most interesting characteristics of WHFMN are that (1) it automatically calculates data points to add additional information, (2) it automatically adds new clusters without retraining, (3) it automatically finds the noise objects according to the density
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發(fā)表于 2025-3-23 06:33:45 | 只看該作者
Cultural Boundaries: Settled and Unsettled,modeling techniques. Deep Neural Network (DNN) shows remarkable results to the other two architectures. Visualization techniques using a dashboard display gas data graphs and fermentation degree classifications throughout fermentation. The dashboard serves as monitoring to reduce the waste of unferm
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