Showing 101 - 120 results of 1,042 for search 'input quantitative', query time: 0.09s Refine Results
  1. 101
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    An automatic verification method for software quality with real business data by TIAN Biao, CUI Wei, HUANG Hui, FENG Xiaolong

    Published 2024-03-01
    “…Performance tests help to verify whether a business cluster can meet its access scale requirements, but current tools have problems such as evaluating proper parameters and requiring manual inputs, low performance, and difficulty in automation. …”
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  3. 103

    Lost-minimum post-training parameter quantization method for convolutional neural network by Fan ZHANG, Yun HUANG, Zizhuo FANG, Wei GUO

    Published 2022-04-01
    “…To solve the problem that that no dataset is available for model quantization in data-sensitive scenarios, a model quantization method without using data sets was proposed.Firstly, according to the parameters of batch normalized layer and the distribution characteristics of image data, the simulated input data was obtained by error minimization method.Then, by studying the characteristics of data rounding, a factor dynamic rounding method based on loss minimization was proposed.Through quantitative experiments on classification models such as GhostNet and target detection models such as M2Det, the effectiveness of the proposed quantification method for image classification and target detection models was verified.The experimental results show that the proposed quantization method can reduce the model size by about 75%, effectively reduce the power loss and improve the computing efficiency while basically maintaining the accuracy of the original model.…”
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  4. 104

    Pain perception in autism. A study of sensory reactivity in children and adolescents with autism using quantitative sensory testing and psychophysiological correlates by Valentina Nicolardi, Isabella Fanizza, Giuseppe Accogli, Sara Scoditti, Antonio Trabacca

    Published 2025-05-01
    “…BackgroundHyper- or hypo-reactivity to sensory input is a diagnostic criterion for autism spectrum disorder; however, it is still not fully characterized, despite its relevance to patients' quality of life. …”
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    Article
  5. 105

    Balance of benefits and harms of different blood pressure targets in people with multiple chronic conditions: a quantitative benefit-harm assessment by Bruce Leff, Milo A Puhan, Hélène E Aschmann, Cynthia M Boyd, Craig W Robbins, Richard A Mularski, Wiley V Chan, Orla C Sheehan, Renée F Wilson, Wendy L Bennett, Elizabeth A Bayliss, Tsung Yu, Karen Armacost, Carol Glover, Katie Maslow, Suzanne Mintz

    Published 2019-08-01
    “…Objective Recent studies suggest that a systolic blood pressure (SBP) target of 120 mm Hg is appropriate for people with hypertension, but this is debated particularly in people with multiple chronic conditions (MCC). We aimed to quantitatively determine whether benefits of a lower SBP target justify increased risks of harm in people with MCC, considering patient-valued outcomes and their relative importance.Design Highly stratified quantitative benefit-harm assessment based on various input data identified as the most valid and applicable from a systematic review of evidence and based on weights from a patient preference survey.Setting Outpatient care.Participants Hypertensive patients, grouped by age, gender, prior history of stroke, chronic heart failure, chronic kidney disease and type 2 diabetes mellitus.Interventions SBP target of 120 versus 140 mm Hg for patients without history of stroke.Primary and secondary outcome measures Probability that the benefits of a SBP target of 120 mm Hg outweigh the harms compared with 140 mm Hg over 5 years (primary) with thresholds >0.6 (120 mm Hg better), <0.4 (140 mm Hg better) and 0.4 to 0.6 (unclear), number of prevented clinical events (secondary), calculated with the Gail/National Cancer Institute approach.Results Considering individual patient preferences had a substantial impact on the benefit-harm balance. …”
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    Quantitative modelling for dengue and Aedes mosquitoes in Africa: A systematic review of current approaches and future directions for Early Warning System development. by Lembris Laanyuni Njotto, Wilfred Senyoni, Ottmar Cronie, Michael Alifrangis, Anna-Sofie Stensgaard

    Published 2024-11-01
    “…This review aims to provide an updated overview of important covariates and quantitative modelling techniques used to predict or forecast dengue and/or its vector Aedes mosquitoes in Africa. …”
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  9. 109
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    Vulnerability of long-range inputome of basal forebrain in normal aging mice by Tingting Sun, Jiale Chen, Bimin Liu, Anan Li, Hui Gong, Xiangning Li, Xiangning Li

    Published 2025-07-01
    “…However, which circuit is most vulnerable during normal aging remains unclear.MethodsUtilizing a combination of viral tracing and fluorescence Micro-Optical sectioning tomography (fMOST), we performed quantitative analyses on the whole-brain inputs of the BF, Hip, and mPFC during normal aging.Results and discussionThe long-range inputome revealed that the nucleus of the diagonal band (NDB) of BF was vulnerability to damage, especially the connection strength of the vCA3-NDB circuit is significantly reduced, which may be related to decision making. …”
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  11. 111

    Quantitative structure-activity relationship study of some angiotensin-converting enzyme inhibitor drugs in the treatment of hypertension based on Monte Carlo optimization method by Shahram Lotfi, Shahin Ahmadi, Ali Azimi

    Published 2025-05-01
    “…The input file of CORAL software contains the structures of compounds with SMILES symbols along with their inhibitory activity, which were randomly divided into four sets, including active training, passive training, calibration and validation sets. …”
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  12. 112

    Detection of Aflatoxin B1 in Maize Silage Based on Hyperspectral Imaging Technology by Lina Guo, Haiqing Tian, Daqian Wan, Yang Yu, Kai Zhao, Xinglu Zheng, Haijun Li, Jianying Sun

    Published 2025-05-01
    “…To achieve efficient and accurate non-destructive detection of AFB1, this study proposes a quantitative prediction method based on hyperspectral imaging technology. …”
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  13. 113

    Quantifying the chemical composition of weathering products of Hainan basalts with reflectance spectroscopy and its implications for Mars by Xing Wu, JiaCheng Liu, WeiChao Sun, Yang Liu, Joseph Michalski, Wei Tan, XiaoRong Qin, YongLiao Zou

    Published 2024-11-01
    “…Specifically, the GA was used to select the spectral subsets for each composition, which were then input into the PLSR model to derive the chemical concentration. …”
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    Mathematical modeling of Ethiopia's energy demand by sectors and energy types, with forecasts for the next 30 years by Arkbom Hailu Asfaw, Geremew Teklu, Antigen Birhan, Yiheyis Eshetu, Ebisa Regasa, Tinsae Wondimu

    Published 2024-11-01
    “…GDP was utilized as an independent variable in the economic model to determine the trend of energy consumption. Another input-output model is also used for multilinear regression to evaluate the change of four variables, GDP, population growth, urbanization growth rate, and general inflation rate, which was quantitatively linked with total energy requirement using Weka software. …”
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  16. 116

    ASSESSING GST COMPLIANCE FRAMEWORK: AN INVESTIGATION ON THE INFLUENCE OF ITC MISMATCH ON STAKEHOLDERS IN INDIA by Anchit Sureka, Nabasmita Bordoloi

    Published 2025-02-01
    “…Still, the mismatch of the Input Tax Credit (ITC) has become a major concern for several parties. …”
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    Bicol College Ed. D. and Ph. D. Graduates from 2012-2021: A Tracer Study by Milagros Esparrago

    Published 2022-10-01
    “…This tracer study on graduates of the doctoral programs, EdD and PhD of Bicol College Inc. is a novel undertaking. The descriptive–quantitative research design was used employing the saturated sampling technique.  …”
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  19. 119

    Interpretable Machine Learning Models and Symbolic Regressions Reveal Transfer of Per- and Polyfluoroalkyl Substances (PFASs) in Plants: A New Small-Data Machine Learning Method to... by Yuan Zhang, Yanting Li, Yang Li, Lin Zhao, Yongkui Yang

    Published 2025-07-01
    “…First, feature expansion was performed on the input data after data preprocessing; the most important step was data augmentation. …”
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