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Titlebook: Recent Advances in Data Science; Third International Henry Han,Tie Wei,Fei Han Conference proceedings 2020 Springer Nature Singapore Pte L

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發(fā)表于 2025-3-23 13:06:17 | 只看該作者
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發(fā)表于 2025-3-23 14:31:54 | 只看該作者
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發(fā)表于 2025-3-23 18:21:18 | 只看該作者
A Flexible and Comprehensive Platform for Analyzing Gene Expression Dataduct this kind of study, such as GSEA, and the online gene list analysis portal Metascape. However, these well-known platforms sometimes are not friendly enough for inexperienced users due to the following reasons. Firstly, many biological experiments only have three duplicates, which make classical
14#
發(fā)表于 2025-3-24 00:57:53 | 只看該作者
Classification of Liver Cancer Images Based on Deep Learningwhich has one of the highest rates of morbidity and mortality in the world, is a great threat to people’s health. This study aims to apply Convolutional Neural Networks in the grade classification of liver cancer images. DCE- MRI and DWI, two modes of hepatocellular carcinoma images, are originally
15#
發(fā)表于 2025-3-24 06:04:32 | 只看該作者
DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Doubudies of predicting novel miRNA-disease associations (MDAs) are costly and time-consuming. And there are also many unknown associations between miRNAs and diseases. Therefore, it is a momentous topic to predict possible associations between miRNAs and diseases. Also, it is urgent to increase the acc
16#
發(fā)表于 2025-3-24 07:34:20 | 只看該作者
Exploring Blockchain in Speech Recognitionkchain applications in speech recognition via investigating decentralized deep learning models. The decentralized deep learning models demonstrate a good potential to handle large scale acoustic data by fusing distributed deep learning models to achieve better learning results. To the best of our kn
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發(fā)表于 2025-3-24 13:18:02 | 只看該作者
18#
發(fā)表于 2025-3-24 14:59:27 | 只看該作者
Implied Volatility Pricing with Selective Learning machine learning prediction better than near-the-money (NTM) options. This pioneering work first provides a robust way to enhance implied volatility pricing via machine learning and will inspire similar studies in the future.
19#
發(fā)表于 2025-3-24 19:26:44 | 只看該作者
20#
發(fā)表于 2025-3-25 01:13:59 | 只看該作者
A Novel Multiple Sequence Alignment Algorithm Based on Artificial Bee Colony and Particle Swarm Optiploiting the discreteness of the MSA problem. The experiment results strongly demonstrate its robustness and effectiveness, as well as achieve better performance and biological quality in comparison with its peers.
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