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Titlebook: Applied Informatics; Second International Hector Florez,Marcelo Leon,Simone Belli Conference proceedings 2019 Springer Nature Switzerland A

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11#
發(fā)表于 2025-3-23 09:58:25 | 只看該作者
12#
發(fā)表于 2025-3-23 14:44:08 | 只看該作者
University Quality Measurement Model Based on Balanced Scorecard in the academic sector, definition of the requirements of the proposed technological, a diagnosis of the current measurement system of the HEI analyzed, identify measurement indicators and develop a technological tool. The designed model presents a precise and clear methodological guide that can be replicated in any HEI to monitor its processes.
13#
發(fā)表于 2025-3-23 19:14:28 | 只看該作者
14#
發(fā)表于 2025-3-24 02:13:24 | 只看該作者
Predicting Stock Prices Using Dynamic LSTM Modelsaugmented data to predict future stock prices. We evaluate the proposed method using data sets of four stocks. The results show that the proposed method outperforms others in predicting stock prices based on different performance metrics.
15#
發(fā)表于 2025-3-24 05:44:58 | 只看該作者
16#
發(fā)表于 2025-3-24 09:32:51 | 只看該作者
17#
發(fā)表于 2025-3-24 13:38:02 | 只看該作者
The Remaining Endopterygote Orderse extraction and fine-tuning techniques to detect the existence of roads in aerial orthoimages divided in tiles of 256?×?256 pixels in size. We will evaluate each model′s performance on unseen test data using the accuracy metric and compare the results with those obtained by a CNN especially built for this purpose.
18#
發(fā)表于 2025-3-24 16:11:13 | 只看該作者
Bioinformatics Methods to Discover Antivirals Against Zika Viruss C virus agents can be used as alternative in treatments against the Zika virus. This work aims to determine a non-nucleoside analogue antivirals that can be considered possible antivirals against Zika virus. In this study, we used computational methods to analyze the Docking and the modeling of the NS5 polymerase of Zika virus and antivirals.
19#
發(fā)表于 2025-3-24 22:14:39 | 只看該作者
20#
發(fā)表于 2025-3-25 01:29:02 | 只看該作者
Evaluation of Transfer Learning Techniques with Convolutional Neural Networks (CNNs) to Detect the Ee extraction and fine-tuning techniques to detect the existence of roads in aerial orthoimages divided in tiles of 256?×?256 pixels in size. We will evaluate each model′s performance on unseen test data using the accuracy metric and compare the results with those obtained by a CNN especially built for this purpose.
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