20,207 research outputs found
The Piecewise Exponential Distribution
No full textAbstract
Gang Han, Brandon Zhao, Kendall Pye and Hongwei Zhao introduce a statistical distribution to model survival outcomes and time-to-event data when failure rates are non-constant</jats:p
sj-txt-4-evb-10.1177_11769343221075014 – Supplemental material for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method
No full textSupplemental material, sj-txt-4-evb-10.1177_11769343221075014 for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method by Hongwei Tang, Qingtian Han and Yong Yin in Evolutionary Bioinformatics</p
A scalable hybrid analog-digital architecture for multi-channel feedforward active noise control
No full textThis paper proposes a hybrid analog-digital architecture, aimed at reducing hardware resource consumption and improving the scalability of a multi-channel feedforward active noise control system to accommodate a large number of error microphones. This hybrid architecture employs a partial-update filtered-x least mean squares algorithm that is lightweight and suitable for real-time execution, as it updates the control filters in each iteration using only two selected error signals. The selection of these two error signals is achieved through a dedicated analog circuit comprising analog comparators and multiplexers. Thus, the hybrid architecture requires only two analog-to-digital converters for error signals, regardless of the number of error microphones. Experiments were conducted on two active noise control casings, demonstrating that, with a specific computational capacity, the proposed hybrid architecture can accommodate significantly longer control filters, resulting in higher steady-state noise reduction. Moreover, additional error microphones were introduced to demonstrate the scalability. The hybrid architecture simplifies the implementation of the multi-channel feedforward active noise control system when additional error microphones are needed for more evenly distributed residual noise levels or a larger zone of quiet
sj-xlsx-3-evb-10.1177_11769343221075014 – Supplemental material for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method
No full textSupplemental material, sj-xlsx-3-evb-10.1177_11769343221075014 for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method by Hongwei Tang, Qingtian Han and Yong Yin in Evolutionary Bioinformatics</p
sj-xlsx-2-evb-10.1177_11769343221075014 – Supplemental material for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method
No full textSupplemental material, sj-xlsx-2-evb-10.1177_11769343221075014 for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method by Hongwei Tang, Qingtian Han and Yong Yin in Evolutionary Bioinformatics</p
sj-tif-1-evb-10.1177_11769343221075014 – Supplemental material for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method
No full textSupplemental material, sj-tif-1-evb-10.1177_11769343221075014 for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method by Hongwei Tang, Qingtian Han and Yong Yin in Evolutionary Bioinformatics</p
sj-txt-7-evb-10.1177_11769343221075014 – Supplemental material for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method
No full textSupplemental material, sj-txt-7-evb-10.1177_11769343221075014 for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method by Hongwei Tang, Qingtian Han and Yong Yin in Evolutionary Bioinformatics</p
sj-xlsx-8-evb-10.1177_11769343221075014 – Supplemental material for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method
No full textSupplemental material, sj-xlsx-8-evb-10.1177_11769343221075014 for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method by Hongwei Tang, Qingtian Han and Yong Yin in Evolutionary Bioinformatics</p
sj-txt-5-evb-10.1177_11769343221075014 – Supplemental material for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method
No full textSupplemental material, sj-txt-5-evb-10.1177_11769343221075014 for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method by Hongwei Tang, Qingtian Han and Yong Yin in Evolutionary Bioinformatics</p
sj-txt-6-evb-10.1177_11769343221075014 – Supplemental material for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method
No full textSupplemental material, sj-txt-6-evb-10.1177_11769343221075014 for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method by Hongwei Tang, Qingtian Han and Yong Yin in Evolutionary Bioinformatics</p
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