-
Generating Energy and Greenhouse Gas Inventory Data of Activated Carbon Produ...
Understanding the environmental implications of activated carbon (AC) produced from diverse biomass feedstocks is critical for biomass screening and process optimization for... -
Performance of the models, MAPE ratio of evaluation results for SiMSCI futures.
Performance of the models, MAPE ratio of evaluation results for SiMSCI futures. -
dataset + tabled results
1031 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... -
r37980778c78--751f77e0a9bfc9966d7f3ae4cc9142b9
The motivation behind this research is to innovatively combine new methods like wavelet, principal component analysis (PCA), and artificial neural network (ANN) approaches to... -
r37980778c78--c6b3fbcd173aae65d79258ff4c96f9e3
RC: Reservoir computing; FC: Fully-connected layer; CSNN: Convolutional spiking neural network; HTM: Hierarchical temporal memory; RNN: Recurrent neural network; DN: Delta network. -
Classification results for each method.
The scores for the precision, recall, F1-score, and accuracy metrics are shown for all four classification methods. The method with the highest score for each metric is... -
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... -
r37980778c78--646750553354e22269c10cb26196e05a
The various screening methods, with their sensitivities and specificities. -
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... -
Holm-adjusted <i>p</i>-values for the pairwise Wilcoxon post-hoc tests.
Non-significant differences (p > 0.05) in bold. -
r37980778c78--5941e8081fe72b02b593d7d06f28790c
Performance of the models, MAPE ratio of evaluation results for KOSPI futures. -
r37980778c78--8529b4adb39f5df848e2964d0f8e0bc6
Comparison of the performance of Artificial Neural Networks (ANN) classifier with gradient descent back-propagation using hidden units {1, 2, 4, 8} and the momentum {0,0.2, 0.5}... -
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... -
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. -
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... -
Comparison of the performance of Support Vector Machine (SVM) classifier with...
Comparison of the performance of Support Vector Machine (SVM) classifier with sampling using polynomial, normalized polynomial and puk kernels using complexity parameters 0.1,... -
Test-set Kappa for FFNN with optimization (FFNN + FS + OPT) and without optim...
SD: Standard Deviation. -
r37980778c78--d021b843b76d1eb415fd7686d61e7c59
SD: Standard Deviation. Trained with 60 epochs, learning rate of 0.1, one hidden convolutional layer of 130 filters of size 5, and ReLU activation.
