2011 Second International Conference on Intelligent Systems, Modelling and Simulation 2011
DOI: 10.1109/isms.2011.80
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Simulation of Transmutation β by Decay Energetics

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Cited by 2 publications
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“…This involves the adept utilization of predictive simulation modeling software, showcasing its multifaceted capabilities. It is noteworthy that this software, designed with an emphasis on robustness, ensures not only highly secure encryption for real-time speech signals but also plays a pivotal role in enhancing safety protocols during the intricate operations of nuclear power reactors [28][29][30][31][32][33][34][35]. Researchers have extensively explored the application of advanced deep learning and machine learning algorithms for precise and effective mechanical characterization of materials, encompassing polymers, metals, and composites [4][5][6][7][8][9].…”
Section: Scanning Electron Microscopy (Sem)mentioning
confidence: 99%
“…This involves the adept utilization of predictive simulation modeling software, showcasing its multifaceted capabilities. It is noteworthy that this software, designed with an emphasis on robustness, ensures not only highly secure encryption for real-time speech signals but also plays a pivotal role in enhancing safety protocols during the intricate operations of nuclear power reactors [28][29][30][31][32][33][34][35]. Researchers have extensively explored the application of advanced deep learning and machine learning algorithms for precise and effective mechanical characterization of materials, encompassing polymers, metals, and composites [4][5][6][7][8][9].…”
Section: Scanning Electron Microscopy (Sem)mentioning
confidence: 99%