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Creators/Authors contains: "Agambayev, Agamyrat"

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  1. ; ; ; (, IEEE Sensors Journal)
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  2. ; ; ; (, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP))
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  3. ; ; ; ; ; (, Proceedings of the 39th International Conference on Computer-Aided Design)
    null (Ed.)
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  4. ; ; ; (, 2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS))
    Ammonium nitrate and nitromethane are two of the most prevalent ingredients in improvised explosive devices (IED). Developing a detection system for IEDs in open public events where no specific check points are available requires many large scale, fine-grained simulations to estimate the explosive vapors. However, such large scale molecular simulations at the required granularity is very time consuming and in most cases not feasible. In this paper, we propose region-specific meshing to alleviate the computational cost. The proposed simulation methodology provides accurate results as compared with a baseline simulation of fine grained mesh (in a small area) while providing significant reduction in simulation time. Thus, large scale simulations at feasible computational burden can be achieved. 
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