<i>E</i>₁(<i>m</i>)~<i>m</i> and <i>E</i>₂(<i>m</i>)~<i>m</i> curves for the observed displacement data series of the PL13-3. حسب Mingjun Li (178925)

الموضوعات:

Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set? حسب Minyi Su (1425976)

الموضوعات:

The phase-field function for three different network configurations considered in this work. حسب Martina Bukač (20161460)

List of feature selection methods used in the voting algorithm. حسب Mahmoud Zeydabadinezhad (12289570)

الموضوعات:

Comparison of Algorithms 1, 2 and 3 using Examples 1, 5, and 6. حسب Sagvan Y. Musa (17797611)

Acurracy comparison of CCA and FBCCA algorithms. حسب Hossein Hamidi Shishavan (19688384)

Classification parameters of the proposed three classifiers. حسب Ali Ahmed (2567584)

الموضوعات:

datasheet1_PV Cell Parameter Extraction Using Data Prediction–Based Meta-Heuristic Algorithm via Extreme Learning Machine.docx حسب Bing Li (43671)

"…Hence, this article proposes a novel parameter extraction strategy by data prediction–based meta-heuristic algorithm (DPMhA). An extreme learning machine (ELM) is adopted to predict output I–V data from measured data, which can provide a more reliable fitness function to meta-heuristic algorithms (MhAs). …"

Data_Sheet_1_Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among Chinese elderly people.docx حسب Shuojia Wang (3823360)

"…The Chinese version of the Mini-Mental State Examination (MMSE) was used to examine cognitive function. Six machine learning algorithms (including a neural network model) and an ensemble method were trained on data split 2/3 for training and 1/3 testing. …"

Illustration of the DLNN used in this study, including 10 inputs, three hidden layers, and one output variable. حسب Tuan Anh Pham (1346049)

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

"…Functional groups are widely used in organic chemistry, because they provide a rationale to analyze physicochemical and reactivity properties. …"

Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. حسب Abeer Aljohani (18497914)

الموضوعات:

Data Sheet 1_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.docx حسب Ming Xie (420493)

"…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …"

Model construction and validation (A) Construction of the model based on multiple machine learning algorithms. حسب Chengting Wu (21485612)

Improved A* algorithm flowchart. حسب Peiying Li (797714)

الموضوعات:

Table_6_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.xls حسب Pamela Vernocchi (791125)

Table_1_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.xlsx حسب Pamela Vernocchi (791125)

Table_7_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.xlsx حسب Pamela Vernocchi (791125)

Table_8_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.csv حسب Pamela Vernocchi (791125)

Table_2_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.xlsx حسب Pamela Vernocchi (791125)