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

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发表于 2025-3-21 18:52:13 | 显示全部楼层 |阅读模式
期刊全称Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering
影响因子2023Nenad Filipovic
视频video
发行地址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,
学科分类Lecture Notes in Networks and Systems
图书封面Titlebook: Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering;  Nenad Filipovic Conference proceedings 2023
影响因子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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书目名称Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering影响因子(影响力)




书目名称Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering影响因子(影响力)学科排名




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书目名称Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering网络公开度学科排名




书目名称Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering被引频次




书目名称Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering被引频次学科排名




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书目名称Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering年度引用学科排名




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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.
发表于 2025-3-22 15:36:26 | 显示全部楼层
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.
发表于 2025-3-22 20:42:04 | 显示全部楼层
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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