Prediction of Fraction Unbound in Human Plasma for Per- and Polyfluoroalkyl Substances: Evaluating Transfer Learning as an Algorithmic Solution to the Problem of Sparse Data by Gabriel Sinclair (10688582)

Subjects:

Raw data. by Soheil Mohammadi (12468952)

Subjects:

Descriptive statistics of pollen data in the pollen season 2022. by Sofia Tagliaferro (20291213)

Subjects:

Analytical data set for the Housing_price and Machine learning study. by Jaewon Han (8660295)

Subjects:

Neural network error metrics for training and testing data sets. The neural network performs similarly between training and testing trial sets and performs slightly better for trai... by Xiaowen Chen (192197)

Subjects:

Classification Report of the SVM classifier without using any window. by Abeer Aljohani (18497914)

Subjects:

Accuracy of the proposed method using SVM combined with the uniform window. by Abeer Aljohani (18497914)

Subjects:

Classification Report of the SVM classifier using a uniform window. by Abeer Aljohani (18497914)

Subjects:

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

Subjects:

Confusion matrix heat map of optimum classification combination models under text set size of 3498. by Lu Xiao (314030)

Subjects:

Clustering graph for 10 species based on K-means clustering algorithm into three clusters based on similarity analysis. by Riaz Hussain Khan (19688168)

Evaluation indexes of different methods on the test set. by Wenbing Shi (5806160)

Subjects:

The comparison of different prediction methods on the test set. by Wenbing Shi (5806160)

Subjects:

S1 Data - Machine learning-based prediction of metabolic dysfunction-associated steatotic liver disease using National Health and Nutrition Examination Survey (NHANES) data by Yong Zhang (5893)

Subjects:

F1-measure of the composite category of optimum classification combination models under different scale text sets. by Lu Xiao (314030)

Subjects:

Algorithm for constructing Boot-t CIs. by Qin Gong (118801)

“…Finally, we demonstrate effectiveness of our estimation method in practical applications using a set of real data.</p></div>…”

Tourist attraction description text data. by Lu Xiao (314030)

Subjects:

<b>Correction of the Code, Data and Figure files for Figure 3 of "Quantum-enhanced simulated annealing using Rydberg atoms"</b> by Seokho Jeong (20596511)

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Data Sheet 1_Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China.docx by Hanyu Zhang (1425250)

“…Introduction<p>The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in tree species classification.</p>Methods<p>UAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.…”