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- W4385934109 abstract "Nuclear weapons have seriously threatened the survival of the global human race. To predict the development trend of global nuclear weapons, we downloaded the nuclear weapons data of major countries from the website of APMCM 2022. Then we analyze these data using machine learning and predict the number of nuclear weapons in the world for the next 100 years. Finally, we predict the main areas of future nuclear war and the death toll caused by nuclear war by constructing a model. The purpose of this paper is to call on all countries to limit the use of nuclear weapons and realize the common peace of mankind by predicting the trend of global nuclear weapons and the disastrous consequences brought by nuclear weapons." @default.
- W4385934109 created "2023-08-18" @default.
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- W4385934109 date "2023-06-01" @default.
- W4385934109 modified "2023-10-14" @default.
- W4385934109 title "Global Nuclear Weapons Trends Forecast Via Machine Learning" @default.
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- W4385934109 doi "https://doi.org/10.1109/isssr58837.2023.00021" @default.
- W4385934109 hasPublicationYear "2023" @default.
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