Table 1_Differential gene expression profiling and machine learning-based discovery of key genetic markers in VTE and CKD.docx حسب Hui Li (32376)

"…The intersection of DEGs between VTE and CKD was used for feature selection via three machine learning algorithms: Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine–Recursive Feature Elimination (SVM-RFE), and Random Forest (RF). …"

The image of the Aekley function. حسب Zhengyu Xu (8550660)

Table 2_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 3_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Table 4_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Table 1_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 4_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Table 3_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 6_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 1_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 2_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 5_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

MWOA-BiLSTM machine fault detection process. حسب Yi-Qiang Xia (20161326)

Supplementary file 1_Hamiltonian formulations of centroid-based clustering.pdf حسب Myeonghwan Seong (21159605)

"…However, defining similarity is often ambiguous, making it challenging to determine the most appropriate objective function for a given dataset. Traditional clustering methods, such as the k-means algorithm and weighted maximum k-cut, focus on specific objectives—typically relying on average or pairwise characteristics of the data—leading to performance that is highly data-dependent. …"

Characteristics of biological processes involved in DKD. حسب Hailin Li (453832)

الموضوعات:

Summary of the CEC-2017 test functions. حسب Xingtao Wu (22139242)

"…<div><p>The icing failures of wind turbine blades are critical factors that affect both power generation efficiency and safety. To improve the diagnostic accuracy and speed, an improved weighted kernel extreme learning machine (IWKELM) optimized by multi-strategy adaptive coati optimization algorithm (MACOA) for icing fault diagnosis model is proposed, i.e., MACOA-IWKELM. …"

Run times of two algorithms. حسب Gourab Saha (8987405)

الموضوعات:

Evolution of the rescaled hydraulic diameter () and complexity () in both simulations and seal tomograms as a function of simulation timestep and relative age (). حسب Jonathan E Kings (20818367)

Machine learning. حسب Rui Guo (134395)

The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

"…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"