32 items found

Types: dataset Tags: ANN Biotechnology

Filter Results
  • dataset

    r37980778c78--ea47c83e3272fafdfc53b85f7ede017e

    Characteristics of high-risk suicide (n = 7,443) and no high-risk suicide (n = 52,541).
  • dataset

    r37980778c78--25e27409b969242ca84c8617891a80a3

    Screening inclusion, exclusion criteria.
  • dataset

    r37980778c78--4108d12d7cc2e6b9991f14faaea6633a

    Steady state performance of the feed-forward strategy.
  • dataset

    Mortality prediction in patients with isolated moderate and severe traumatic ...

    BackgroundThe purpose of this study was to build a model of machine learning (ML) for the prediction of mortality in patients with isolated moderate and severe traumatic brain...
  • dataset

    Parameters of the DAB.

    Parameters of the DAB.
  • dataset

    Optimal parameters for each machine learning model are selected through the g...

    Optimal parameters for each machine learning model are selected through the grid search.
  • dataset

    PV module parameters at nominal operation conditions (25°C- 1000 W/m<sup>2</s...

    PV module parameters at nominal operation conditions (25°C- 1000 W/m2).
  • dataset

    Applications of artificial neural networks in health care organizational deci...

    Health care organizations are leveraging machine-learning techniques, such as artificial neural networks (ANN), to improve delivery of care at a reduced cost. Applications of...
  • dataset

    r37980778c78--646750553354e22269c10cb26196e05a

    The various screening methods, with their sensitivities and specificities.
  • dataset

    Development of a Reverse Phase HPLC Retention Index Model for Nontargeted Met...

    The MolFind application has been developed as a nontargeted metabolomics chemometric tool to facilitate structure identification when HPLC biofluids analysis reveals a feature...
  • dataset

    r37980778c78--7aab8e16cb802f810d9c6c6a0ad405e6

    Determining the target proteins of new anticancer compounds is a very important task in Medicinal Chemistry. In this sense, chemists carry out preclinical assays with a high...
  • dataset

    The demographics of the NHIS dataset that was used in our ANN.

    We show means and standard deviations for the continuous variables, means for the binary variables, and the percentage for each race.
  • dataset

    Learning method performance evaluation across different feature sets, grouped...

    Performance is measured with MAPE (%). Smaller MAPE means higher forecast accuracy. D refers to calendar data, L is previous load estimation plan, P is electricity price, W is...
  • dataset

    Study areas identified in the review.

    Study areas identified in the review.
  • dataset

    BIC values of SARIMA models with different <i>p</i> & <i>q</i> values.

    BIC values of SARIMA models with different p & q values.
  • dataset

    Start and end dates of the training and test periods for the selected test we...

    Start and end dates of the training and test periods for the selected test weeks.
  • dataset

    dataset + target vs output

    210 data points meaning of each excel sheet: IN - input variable values for each data point (each data point is one row)  TARGET - target variable values for each data...
  • dataset

    Details of feature sets that are used in ANN based STLF model.

    Details of feature sets that are used in ANN based STLF model.
  • dataset

    r37980778c78--9fb83df4e03d4cf9b4000ed37f705574

    Predicting the activity of new chemical compounds over pathogenic microorganisms with different metabolic reaction networks (MRNs) is an important goal due to the different...
  • dataset

    r37980778c78--287481abdefdd8024fc43e90d9a68297

    Comparison of proposed SARIMA models.