Showing 261 - 280 results of 10,373 for search '"reasoning"', query time: 0.08s Refine Results
  1. 261

    On Factors behind the Reasonable Failure Mode of Concrete-Filled Circular Steel Tubular Composite Frame by Yang-bing Liu, Ping-ping Cui, Fang Chen

    Published 2021-01-01
    “…The factors behind the reasonable failure mode of steel beam-concrete-filled circular steel tubular (CFCST) frame structures are analyzed. …”
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    Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory by Yongfeng Ma, Wenbo Zhang, Jian Lu, Li Yuan

    Published 2014-01-01
    “…Firstly, a well-known and approved method, Case-Based Reasoning (CBR), was introduced. Based on CBR, a detailed case representation and R5-cycle of CBR were developed. …”
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    An investigation into the extent of, and reason for, the theory-to-practice disparity in Montessori early childhood settings in South Africa by Susanne van Niekerk

    Published 2024-12-01
    “…Previous Montessori research in Europe and North America has addressed the results of, but not the reasons for, modification to Montessori best practice. …”
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  7. 267

    Knowledge, attitude, and reasons for non-uptake of human papilloma virus vaccination among nursing students by Soni Chauhan, Surya Kant Tiwari, Vishal Dubey, Pragya Tripathi, Priyanka Pandey, Anuj Singh, Narendra Pal Singh Choudhary

    Published 2025-01-01
    “…We aimed to assess the level of knowledge, attitudes, willingness, and reasons for non-uptake of HPV vaccination among nursing students. …”
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    Multisource Accident Datasets-Driven Deep Learning-Based Traffic Accident Portrait for Accident Reasoning by Chun-Hao Wang, Yue-Tian-Si Ji, Li Ruan, Joshua Luhwago, Yin-Xuan Saw, Sokhey Kim, Tao Ruan, Li-Min Xiao, Rui-Jue Zhou

    Published 2024-01-01
    “…Traffic accident data-based portrait plays a vital role in accident cause investigation, relationship reasoning, prevention, and control. The traffic accident data tend to be multisourced with increasingly hidden and complicated accident relationships. …”
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    Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems by Haina Rong, Kang Yi, Gexiang Zhang, Jianping Dong, Prithwineel Paul, Zhiwei Huang

    Published 2019-01-01
    “…As an important variant of membrane computing models, fuzzy reasoning spiking neural P systems (FRSN P systems) were introduced to build a link between P systems and fault diagnosis applications. …”
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