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    Unified Quantile Regression Deep Neural Network with Time-Cognition for Probabilistic Residential Load Forecasting by Zhuofu Deng, Binbin Wang, Heng Guo, Chengwei Chai, Yanze Wang, Zhiliang Zhu

    Published 2020-01-01
    “…Due to the difficulty in producing reliable point forecasts, probabilistic load forecasting becomes more popular as a result of catching the volatility and uncertainty by intervals, density, or quantiles. In this paper, we propose a unified quantile regression deep neural network with time-cognition for tackling this challenging issue. …”
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    Adaptive Finite-Time Control on SE(3) for Spacecraft Final Proximity Maneuvers with Input Quantization by Sai Zhang, Zhen Yang

    Published 2021-01-01
    “…Meanwhile, the hysteresis logarithmic quantizer is implemented to effectively reduce the frequency of data transmission and the quantization errors are reduced under the proposed controller. …”
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    Relative validity and reproducibility of a short semi-quantitative food frequency questionnaire for Chinese athletes. by Qian Xu, Yudan Chu, Huajun Tian, Guoqiang Ma, Jun Qiu, Qiuping Zhang

    Published 2025-01-01
    “…The aim of this study was to assess the validity of a short semi-quantitative food frequency questionnaire (FFQ) through comparison with 3-day weighed food records (3DWFRs) and corresponding serum biomarkers from a cohort of 102 professional athletes, while also evaluating its reproducibility. …”
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  9. 469

    EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

    Published 2025-01-01
    “…Quantitative analysis of the magnetic leakage signal is crucial for evaluating the magnitude of pipeline damage after fault detection. …”
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    Critical review on the relationship between design variables and performance of dexterous hands: a quantitative analysis by Lei Jiang, Lei Jiang, Lei Jiang, Lei Jiang, Chaojie Fu, Chaojie Fu, Chaojie Fu, Chaojie Fu, Yanhong Liang, Yanhong Liang, Yanhong Liang, Yanhong Liang, Yongbin Jin, Yongbin Jin, Yongbin Jin, Yongbin Jin, Hongtao Wang, Hongtao Wang, Hongtao Wang, Hongtao Wang

    Published 2025-01-01
    “…Comprehensive cross-correlation analysis quantitatively reveals how the performance, such as speed, weight, fingertip force, and compactness are related to the design variables including degrees of freedom (DOF), structural form, driving form, and transmission mode. …”
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  13. 473

    Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework by Yan Zhou, Dongli Wang, Tingrui Pei, Yonghong Lan

    Published 2014-02-01
    “…In this paper, the problem of collaborative target tracking in WSNs is considered in a framework of quantized measurement fusion. First, the measurement in each local sensor is quantized by probabilistic quantization scheme and transmitted to a fusion center (FC). …”
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  14. 474

    A quantitative environmental impact assessment of Australian ultra-processed beverages and impact reduction scenarios by Kim Anastasiou, Michalis Hadjikakou, Ozge Geyik, Gilly A. Hendrie, Phillip Baker, Richard Pinter, Mark Lawrence

    “…Design: This study presents a quantitative environmental impact assessment of a major sub-category of UPBs (water-based UPBs, including soft drinks, energy drinks, cordials, fruit drinks) and non-UPBs (bottled waters) in Australia. …”
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  15. 475

    Quantitative Analysis and Fingerprint Profiles for Quality Control of Fructus Schisandrae by Gas Chromatography: Mass Spectrometry by Yong-Gang Xia, Bing-You Yang, Jun Liang, Qi Yang, Di Wang, Hai-Xue Kuang

    Published 2014-01-01
    “…The method was established by using specific lignan fingerprint profiles and quantitation of characteristic compounds in this herbal medicine. …”
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    Quantitative and qualitative meta-analysis of Scientific Research Papers in the field of creative city in Tehran metropolis by Arezoo Momenian Najjar, Morteza Mirgholami, Azita Oskoyi

    Published 2023-09-01
    “…This research uses both quantitative and qualitative methods in the form of systematic review. …”
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    Quantitative Nondestructive Testing of Wire Ropes Based on Features Fusion of Magnetic Image and Infrared Image by Shiliang Lu, Juwei Zhang

    Published 2019-01-01
    “…The fusion feature is input into the nearest neighbor (NN) algorithm for quantitative identification, and the same data are input into the backpropagation (BP) neural network for comparison verification. …”
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