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Titlebook: Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering; Nenad Filipovic Conference proceedings 2023

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發(fā)表于 2025-3-21 18:52:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering
影響因子2023Nenad Filipovic
視頻videohttp://file.papertrans.cn/160/159647/159647.mp4
發(fā)行地址Presents applications of AI in Medicine, Biology, Chemistry, Financial, Games, and Engineering.Results of the First Serbian International Conference on Applied Artificial Intelligence.Presents theory,
學(xué)科分類(lèi)Lecture Notes in Networks and Systems
圖書(shū)封面Titlebook: Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering;  Nenad Filipovic Conference proceedings 2023
影響因子The book is covering knowledge and results in theory, methodology, and applications of artificial intelligence and machine learning in academia and industry. Nowadays, artificial intelligence has been used in every company where intelligence elements are embedded inside sensors, devices, machines, computers and networks. The chapters in this book integrated approach toward global exchange of information on technological advances, scientific innovations, and the effectiveness of various regulatory programs toward AI application in medicine, biology, chemistry, financial, games, law, and engineering. Readers can find AI application in industrial workplace safety, manufacturing systems, medical imaging, biomedical engineering application, different computational paradigm, COVID-19, liver tracking, drug delivery system, and cost-effectiveness analysis. Real examples from academia and industry give beyond state of the art for application of AI and ML in different areas. These chapters are extended papers from the First Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19–20, 2022.
Pindex Conference proceedings 2023
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書(shū)目名稱(chēng)Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering影響因子(影響力)




書(shū)目名稱(chēng)Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering被引頻次




書(shū)目名稱(chēng)Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering被引頻次學(xué)科排名




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https://doi.org/10.1007/978-3-030-63541-1 histopathological image analysis. The first step was normalizing H&E-stain images and then using them as input to the convolutional neural network. The best results are achieved using ResNet50 with the highest AUC value of 0.98 (±σ?=?0.02). Such an approach proved to be successful in analyzing histopathological images.
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Andrei Kalyuzhnov,Julian Lee,Julia Nanayto vertical vibrations. Based on the obtained values of transfer functions, an artificial neural network was trained. The results showed that the developed model has the ability to predict the values of transfer functions in the range of trained values when changing the input parameters.
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Reproductive Autonomy Conformity Assessment of Purposed AI System, reproduction-specific issues as a form of specialized conformity assessment. The results of this inquiry might be useful to programmers and developers. It could provide them with insight into normativised social values from the ambit of reproductive autonomy requiring consideration before placing purposed AI at the EU market.
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Application of AI in, histopathological image analysis. The first step was normalizing H&E-stain images and then using them as input to the convolutional neural network. The best results are achieved using ResNet50 with the highest AUC value of 0.98 (±σ?=?0.02). Such an approach proved to be successful in analyzing histopathological images.
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Seat-to-Head Transfer Functions Prediction Using Artificial Neural Networks,to vertical vibrations. Based on the obtained values of transfer functions, an artificial neural network was trained. The results showed that the developed model has the ability to predict the values of transfer functions in the range of trained values when changing the input parameters.
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