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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書目名稱Advances in Information and Communication Technology影響因子(影響力)




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書目名稱Advances in Information and Communication Technology網(wǎng)絡(luò)公開度學科排名




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書目名稱Advances in Information and Communication Technology被引頻次學科排名




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書目名稱Advances in Information and Communication Technology讀者反饋學科排名

enormous

Outshine

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

沒花的是打擾

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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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

增減字母法

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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deciduous

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

泰然自若

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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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