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  1. 981

    Construction of Intelligent Building Integrated Evaluation System Based on BIM Technology by Mengmeng Song

    Published 2022-01-01
    “…In order to alleviate the impact of the old bridge by the environment and its own life and the problem of increasing maintenance cost, the intelligent building integrated evaluation system based on BIM technology is proposed. …”
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    Cognitive Wi-Fi 2.0 networks:future intelligent WLAN by Chun-gang YANG, Chao XU, Min SHENG, Jian-dong LI, Hong-yan LI

    Published 2012-11-01
    “…One typical deployment scenario was described and several key techniques including channel bonding were introduced.More importantly,a two-tire dynamic spectrum access model was formulated from both the economic and technologic perspectives.In addition,a variety of dynamic resources sharing schemes were summarized.Furthermore,classic game theoretic models were discussed and consequently strategic design of dynamic spectrum access and intelligent network selection were introduced.Finally,a spectrum sharing scheme was proposed and the future of cognitive Wi-Fi 2.0 networks was looked to.…”
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    Evolution of Artificial Intelligence in Medical Education From 2000 to 2024: Bibliometric Analysis by Rui Li, Tong Wu

    Published 2025-01-01
    “… BackgroundIncorporating artificial intelligence (AI) into medical education has gained significant attention for its potential to enhance teaching and learning outcomes. …”
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    THE BIONIC INTELLIGENT FAULT DIAGNOSIS BASED ON COMPREHENSIVE DIFFERENCES MINING FOR HYDRO TURBINE by CHEN XiaoYue, GE Dang, HUANG JiangPing, LIU Xiong, ZHANG XiaoYan

    Published 2020-01-01
    “…For the faults of hydropower unit with strong coupling and uncertainty,the traditional fault expression method based on the uniform feature vector is easy to submerge the effect of fault expression and limit the fault diagnosis accuracy and timeliness directly.Given this,we presented a bionic fault diagnosis method,which imitates the human brain thinking and proposes the concept of dependent feature vector(DFV),which logical structure is described by feature selection tree and extracted by feature extraction tree.DFV deeply excavates the intricate relationship between faults by using its nested structure,and realizes the comprehensive mining of the quantity and quality differences between faults of hydroelectric units.It deeply reveals the intrinsic relationship between different faults and faults and features,effectively extracts the essential differences of different faults,and improves the validity of fault expression.Furthermore,the intelligent classification method is realized by combining DFV and probabilistic neural network,the experimental results show that the method can complete the fault diagnosis of hydropower units and achieve excellent diagnostic validity and timeliness.…”
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