Showing 1,661 - 1,680 results of 28,739 for search '"computer"', query time: 0.31s Refine Results
  1. 1661

    A Computational Design Analysis of UAV’s Rotor Blade in Low-Temperature Conditions for the Defence Applications by Sreenadh Chevula, Sankeerth Chillamcharal, Satya Prasad Maddula

    Published 2021-01-01
    “…The results which are shown in this paper are obtained by the computational analysis facility located at the Department of Aerospace Engineering, School of Technology, GITAM (Deemed to be University), Hyderabad. …”
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    Computational Fluid Dynamics for Cavity Natural Heat Convection: Numerical Analysis and Optimization in Greenhouse Application by Yin Zhang, Menglong Zhang, Jianwu Xiong, Gang Mao, Yicong Qi

    Published 2023-01-01
    “…In this study, mathematical model is established for two-dimensional heat transfer analysis in greenhouse air cavity, with numerical simulation through computational fluid dynamics (CFD). Main natural convection impact factors, such as system configuration parameters (tilting angle and PV panel unit number) and fluid thermal–physical properties, are investigated with indoor temperature distribution and streamline comparison by finite-volume method (FVD). …”
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  5. 1665

    Cryogenic III-V and Nb electronics integrated on silicon for large-scale quantum computing platforms by Jaeyong Jeong, Seong Kwang Kim, Yoon-Je Suh, Jisung Lee, Joonyoung Choi, Joon Pyo Kim, Bong Ho Kim, Juhyuk Park, Joonsup Shim, Nahyun Rheem, Chan Jik Lee, Younjung Jo, Dae-Myeong Geum, Seung-Young Park, Jongmin Kim, Sanghyeon Kim

    Published 2024-12-01
    “…Abstract Quantum computers now encounter the significant challenge of scalability, similar to the issue that classical computing faced previously. …”
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    Rarefied Nozzle Flow Computation Using the Viscosity-Based Direct Simulation Monte Carlo Method by Deepa Raj Mopuru, Nishanth Dongari, Srihari Payyavula

    Published 2024-12-01
    “…Given the high Knudsen numbers associated with micro-nozzle flows, rarefied gas dynamics often dominate, and conventional computational fluid dynamics (CFD) methods fail to capture accurate flow expansion behavior. …”
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    Computational Fluid Dynamics Modelling and Experimental Study on a Single Silica Gel Type B by John White

    Published 2012-01-01
    “…The application of computational fluid dynamics (CFDs) in the area of porous media and adsorption cooling system is becoming more practical due to the significant improvement in computer power. …”
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  11. 1671

    Computationally efficient direction-of-arrival estimation of non-circular signal based on subspace rotation technique by Wei WANG, Ming ZHANG, Bobin YAO, Qinye YIN, Pengcheng MU

    Published 2020-11-01
    “…In order to solve the problem that the high computational burden of the multiple signal classification algorithm of non-circular signal (NC-MUSIC) in direction-of-arrival (DOA) estimation,a novel computationally efficient DOA estimation algorithm based on subspace rotation technique was proposed.Firstly,the partitioning of noise subspace matrix and the subspace rotation technique (SRT) were used to construct a new reduced-dimension noise subspace.Then,the two-dimensional peak searching was converted to the one-dimensional peak searching on the basis of the separation of variables and the orthogonality between the new reduced-dimension noise subspace and the space spanned by the columns of the extended manifold matrix.The proposed algorithm can enhance the computational efficiency by means of the conversion of the two-dimensional peak searching into the one-dimensional peak searching and the removal of redundant computations.Theoretical analysis and simulation results show that the proposed algorithm can reduce the computational complexity to less than 5% as compared to NC-MUSIC algorithm on the premise of ensuring the accuracy of DOA estimation.Especially,the efficiency advantage of the proposed algorithm is more obvious in scenarios where the large numbers of sensors are required.…”
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    Harnessing distributed GPU computing for generalizable graph convolutional networks in power grid reliability assessments by Somayajulu L.N. Dhulipala, Nicholas Casaprima, Audrey Olivier, Bjorn C. Vaagensmith, Timothy R. McJunkin, Ryan C. Hruska

    Published 2025-01-01
    “…For pre-training the GCN ARMA model across a variety of topologies, distributed graphics processing unit (GPU) computing afforded us significant training scalability. …”
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    Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network by Lukas Falat, Dusan Marcek, Maria Durisova

    Published 2016-01-01
    “…This paper deals with application of quantitative soft computing prediction models into financial area as reliable and accurate prediction models can be very helpful in management decision-making process. …”
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