Showing 901 - 920 results of 21,428 for search '"computer"', query time: 0.09s Refine Results
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    Advanced decision analytics with fuzzy logic integrating AI and computational thinking for personnel selection by Mudiarasan Kuppusamy, Jugindar Singh, Priya Raman, Neda Abdolrahimi

    Published 2024-12-01
    “…Advanced decision analytics, fuzzy logic, artificial intelligence, and computational thinking may be used to improve personnel selection in today's dynamic industry. …”
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    Article
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    A Computational Turn in Policy Process Studies: Coevolving Network Dynamics of Policy Change by Maxime Stauffer, Isaak Mengesha, Konrad Seifert, Igor Krawczuk, Jens Fischer, Giovanna Di Marzo Serugendo

    Published 2022-01-01
    “…Our discussion provides ground for further research and outlines the path for the field to achieve a computational turn.…”
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  6. 906

    Using the High-Level Based Program Interface to Facilitate the Large Scale Scientific Computing by Yizi Shang, Ling Shang, Chuanchang Gao, Guiming Lu, Yuntao Ye, Dongdong Jia

    Published 2014-01-01
    “…This paper is to make further research on facilitating the large-scale scientific computing on the grid and the desktop grid platform. …”
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    Dynamic Performance Optimization for Cloud Computing Using M/M/m Queueing System by Lizheng Guo, Tao Yan, Shuguang Zhao, Changyuan Jiang

    Published 2014-01-01
    “…On one hand, using cloud computing reduces the cost; on the other hand, using cloud computing improves the efficiency. …”
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    Integrative computational analysis of anti-influenza potential in Caesalpinia mimosoides Lamk hydroethanolic extract by Anuwatchakij Klamrak, Shaikh Shahinur Rahman, Napapuch Nopkuesuk, Jaran Nabnueangsap, Jaraspim Narkpuk, Piyapon Janpan, Yutthakan Saengkun, Thananya Soonkum, Supawadee Sriburin, Samaporn Teeravechyan, Poramet Sitthiwong, Nisachon Jangpromma, Sirinan Kulchat, Kiattawee Choowongkomon, Rina Patramanon, Arunrat Chaveerach, Jureerut Daduang, Sakda Daduang

    Published 2025-02-01
    “…Through untargeted metabolomic analyses (UPLC-ESI(±)-QTOF-MS/MS) and subsequent stepwise computational metabolomics analyses, we identified the extract as primarily containing simple phenolics (e.g., gallic acid, ellagic acid, shikimic acid, and chlorogenic acid), flavonoid derivatives (e.g., quercetin, taxifolin, myricitrin, and afzelin), and other bioactive components, including dicarboxylic acids and germacrone. …”
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    Low-Interference Dual Resonant Antenna Configurations for Multistandard Multifunction Handsets and Portable Computers by Mohamed Sanad, Noha Hassan

    Published 2012-01-01
    “…Low-interference dual resonant antenna configurations are developed for multistandard multifunction mobile handsets and portable computers. Only two wideband resonant antennas can cover most of the important wireless applications in portable communication equipment. …”
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    Computation of Polynomial Degree-Based Topological Descriptors of Indu-Bala Product of Two Paths by Ghazanfar Abbas, Muhammad Ibrahim

    Published 2021-01-01
    “…Cheminformatics is entirely a newly coined term that encompasses a field that includes engineering computer sciences along with basic sciences. As we all know, vertices and edges form a network whereas vertex and its degrees contribute to joining edges. …”
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    Optimization of Human Resource File Information Decision Support System Based on Cloud Computing by Chunling Cai, Chuanyi Chen

    Published 2021-01-01
    “…Based on the analysis of “cloud computing” advantages in resources integration and sharing and so on, on the basis of this system is designed by using the basis of the data acquisition layer, support layer of network services, cloud computing support layer, data standardization conversion layer, system application layer, system layer, decision support layer and so on 7 layer architecture, discusses the features and functions of each layer structure, the working mode and working mode of the Decision Support System (DSS) are introduced in detail. …”
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    Rapid learning with phase-change memory-based in-memory computing through learning-to-learn by Thomas Ortner, Horst Petschenig, Athanasios Vasilopoulos, Roland Renner, Špela Brglez, Thomas Limbacher, Enrique Piñero, Alejandro Linares-Barranco, Angeliki Pantazi, Robert Legenstein

    Published 2025-02-01
    “…The concept of learning-to-learn (L2L) mimics this process and enables AI models to rapidly adapt with only little computational effort and data. In-memory computing neuromorphic hardware (NMHW) is inspired by the brain’s operating principles and mimics its physical co-location of memory and compute. …”
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