Dual UHPLC-HRMS Metabolomics and Lipidomics and Automated Data Processing Workflow for Comprehensive High-Throughput Gut Phenotyping by P. Vangeenderhuysen (15854812)

“…Such analyses should combine a wide physicochemical range of molecules with a minimal amount of sample and resources and downstream data processing workflows that are as automated and time efficient as possible. …”

Improved random forest algorithm. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

K-means++ clustering algorithm. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

Comparative analysis of model performance indicators and diagnostic visualizations for full-featured and simplified models across ten algorithms. by Aref Andishgar (18155608)

Here are the samples prediction of cattle weight using our proposed best 3Conv3Dense model. by Md Junayed Hossain (22615268)

Sample data of TSs. by Jiaxin Li (441199)

The accuracy of all employed learning algorithms. by Quan Shao (20148209)

Summary by recording: Annotations, training features, and optimal parameters. by Rytis Paškauskas (20404817)

Example of the specific process for generating . by Ming Gao (115719)

All trial data from [16]. by Spencer Caplan (10188380)

Subjects:

S2 Data - Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism by Yutong Liu (4027994)

S1 Data - Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism by Yutong Liu (4027994)

First-block trial data from [16]. by Spencer Caplan (10188380)

Subjects:

Second-block trial data from [16]. by Spencer Caplan (10188380)

Subjects:

Number of wavelengths selected by successive projections algorithm (SPA) (a) and the wavelengths selected by successive projections algorithm (SPA) (b). by Xiao Liu (65413)

Subjects: “…successive projections algorithm…”

Super parameter optimization result. by Guomei Cui (20721578)

“…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …”

Indirect validation for the experimental sample. by Albertas Dvirnas (4926085)

Schematic representation of the methodology used to evaluate the ML algorithms for predicting the relative density, surface roughness, and hardness of AlSi10Mg parts produced using... by Fatma Alamri (20855088)

Data_Sheet_1_Critical Evaluation of Metaheuristic Algorithms for Weight Minimization of Truss Structures.docx by Aristotelis E. Charalampakis (7454258)

NGM predictions and empirical human data after training on a single item. by Spencer Caplan (10188380)

Subjects: