Abstract
The operating system is the central element of a computing device. It is the base level on which all the applications run. It allows the user to interact with the hardware with the help of the user interface. Creating a more efficient and capable software means less load on the hardware. Evolving nature of the neural network will help the operating system to learn about the user and will help in creating a better experience for the user. In this paper, we propose the integration of the neural network system at the kernel level of the operating system. Further, we show that the proposed scheme is more efficient and advanced than the current conventional system.
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Jariwala, G., Agarwal, H. (2020). A Neural Network Based Approach for Operating System. In: Raj, J., Bashar, A., Ramson, S. (eds) Innovative Data Communication Technologies and Application. ICIDCA 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 46. Springer, Cham. https://doi.org/10.1007/978-3-030-38040-3_67
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DOI: https://doi.org/10.1007/978-3-030-38040-3_67
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