Development and external validation of a new convolutional neural networks algorithm derived artificial intelligence tool to predict malignancy in pulmonary nodules

Baldwin, David; Gustafson, Joakim; Pickup, Lyndsey C.; Arteta, Carlos; Novotný, P.; Declerck, Jérôme; Kadir, Timor; Santos, Cicero dos; Sterba, Albert; Exell, Alan; Potesil, Vaclav; Holland, Philemon; Spence, Hazel; Clubley, Alison; O’Dowd, Emma; Clark, Marcus R.; Turner, V. Ashford; Callister, Matthew; Gleeson, Fergus

doi:10.1016/s0169-5002(20)30045-3

Cited by 5 publications

(2 citation statements)

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“…In situations where it is not necessary to specifically analyze which transmission path or which transmission path contributes, but only need to identify the subsystem with the largest contribution, a fast transmission path analysis method is proposed [19,20], the formula is as Eqs 5, 6.…”

Section: Fast Transmission Path Analysis Methodsmentioning

confidence: 99%

Research on elevated orbit noise propagation based on AI algorithm and propagation path analysis

Ling-Xiao,

Xiao-Yan,

Kun

2023

Front. Phys.

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With the rapid development of high-speed railway, noise reduction is becoming more and more important. At the same time, the study of elevated rail noise is also very important for the engineering field. The noise reduction of elevated rail noise is a part of the engineering construction, which is conducive to the economic development and the improvement of people’s life, and the reduction of noise has an impact on residents’ life. This article aims to investigate the analysis of the vibration and noise transmission path of the elevated railway. An optimized transmission path analysis method, which is based on the artificial intelligence algorithms, is used to optimize the path analysis, so as to trace the source of the noise and analyze the noise reduction. This method performs well in the analysis of vibration and noise of elevated railways. After this optimization, the contribution degree and frequency response function in the path analysis have better analysis performance. Through the actual measurement and analysis of the noise of the elevated railway, it can be proved that the traditional path method can better analyze the noise source. The environmental noise caused by high-speed trains passing bridges easily exceeds the acoustic environmental standards. After noise reduction, it can be reduced by about 5–10 dB.

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Section: Fast Transmission Path Analysis Methodsmentioning

confidence: 99%

Research on elevated orbit noise propagation based on AI algorithm and propagation path analysis

Ling-Xiao,

Xiao-Yan,

Kun

2023

Front. Phys.

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“…e scholars have proposed that the development of the three-dimensional comparative pedagogy dialectical analysis method should be emphasized [3]. rough the intelligent multielement evaluation system based on micro-nano flexible sensor, the evaluation and construction based on intelligent algorithm and evaluation method should be strengthened, the multi-design and attention of intelligent evaluation scheme should be improved, and the evaluation quality of comparative education should also be paid attention [4].…”

Section: Related Workmentioning

confidence: 99%

Dialectical Analysis of Comparative Pedagogy Based on Multiple Intelligences Evaluation

Liu

Jiang

Tai

2022

Scientific Programming

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As a common and mature algorithm, the neural network algorithm has been widely used in many industries throughout the country. The traditional dialectical analysis method for multiple intelligences evaluation in comparative education cannot meet the dialectical needs with different characteristics, the information big data model of multiple intelligences evaluation based on neural network algorithm has been gradually applied to several evaluation systems of comparative education. This paper studies the application of neural network algorithms in the dialectical analysis of comparative education in China and puts forward multiple intelligences evaluation model based on neural network algorithm, which can realize the intelligent evaluation of comparative education according to the characteristics of teaching behavior. At the same time, the idea of random big data acquisition is combined with digital feature analysis based on neural network algorithm and particle swarm optimization algorithm. Finally, the experimental results show that the dialectical analysis model of comparative education based on multiple intelligences evaluation of neural network algorithm can efficiently process the education data with tracking intelligence, which achieves a new breakthrough in the multiple intelligences evaluation of comparative education in China and saves a lot of time for the dialectical analysis process.

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Artificial Intelligence Scoring Algorithm for English Translation Based on DNN

Priya,

et al. 2023

2023 Second International Conference on Smart Technologies for Smart Nation (SmartTechCon)

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Development and external validation of a new convolutional neural networks algorithm derived artificial intelligence tool to predict malignancy in pulmonary nodules

Cited by 5 publications

References 0 publications

Research on elevated orbit noise propagation based on AI algorithm and propagation path analysis

Research on elevated orbit noise propagation based on AI algorithm and propagation path analysis

Dialectical Analysis of Comparative Pedagogy Based on Multiple Intelligences Evaluation

Artificial Intelligence Scoring Algorithm for English Translation Based on DNN

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