乳汁
发表于 2025-3-25 03:24:23
https://doi.org/10.1007/978-981-16-3783-4COVID-19; Computational Intelligence; Pandemic; Machine Learning; Medical Diagnosis; Intelligent Systems
Constituent
发表于 2025-3-25 08:29:06
978-981-16-3785-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
变形词
发表于 2025-3-25 12:01:21
Utku Kose,Junzo Watada,Jose Antonio Marmolejo SaucIncludes research works to fight against COVID-19.Comprises of innovative data-oriented and problem-learning models to predict COVID-19-related issues.Focuses on success stories and details for elimin
slow-wave-sleep
发表于 2025-3-25 17:01:16
Disruptive Technologies and Digital Transformations for Society 5.0http://image.papertrans.cn/c/image/232447.jpg
责怪
发表于 2025-3-25 22:16:24
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BYRE
发表于 2025-3-26 01:47:07
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Influx
发表于 2025-3-26 05:12:38
Predicting Transmission Rate of Coronavirus (COVID-19) Pandemic Using Machine Learning Techniques,s quickly transmitted to virtually all the nations of the world. This novel virus has posed a serious health challenge, and many countries are finding it difficult to preventing the spread of the deadly virus. In spite of all the money, time and energy invested in research toward finding a lasting s
外星人
发表于 2025-3-26 11:05:42
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deforestation
发表于 2025-3-26 13:04:30
,Epidemiology Forecasting of COVID-19 Using AI—A Survey,n detail both the traditional methods for pandemics forecasting, namely, the SIR, SEIR, SEIRS, SIRD, and ARIMA and novel data-driven approaches that presented promising results, the LSTM, AE, MAE, CNN, and Random Forest. The article aims to give a comprehensive understanding of the main advantages a
独轮车
发表于 2025-3-26 20:00:44
Geographical Weighted Regression Approach: A Case Study on Covid-19 in India,th the count rising to 6,48,315 (confirmed cases) as of July 4, 2020. The study aims to find the spatial relationship between the confirmed cases of the different months and to classify it into three sets. The findings show that the Monte-Carlo simulations that generated probability distribution map