Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset. حسب Jaime B. Matas-Bustos (21772430)

Data Sheet 1_i-DENV: development of QSAR based regression models for predicting inhibitors targeting non-structural (NS) proteins of dengue virus.docx حسب Sakshi Gautam (10305897)

Fig 1 - A Discretized Overlap Resolution Algorithm (DORA) for resolving spatial overlaps in individual-based models of microbes حسب Ihab Hashem (21156806)

Schematic diagram of STTFP model. حسب Guozhu Sui (21672798)

الموضوعات:

Diagram of the improved CNNBLSTM model. حسب Guozhu Sui (21672798)

الموضوعات:

The forecasting model based on LSTM with LLM and watershed’s KG. حسب Songsong Wang (8088293)

الموضوعات: "…necessitating extensive data…"

Supplementary file 1_The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia.doc حسب Huayan Zuo (22308277)

"…Objectives<p>This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold partitioning, in predicting sarcopenia based on computed tomography (CT) and magnetic resonance imaging (MRI) data.…"

Automated matching and visualisation of magnetic flux leakage data in shale gas pipeline based on ICP and DBSCAN algorithm حسب Leyao Gu (17897654)

Accuracy and average dots covered for difficulty level 11 using gradient descent to find the optimal solution. حسب Tarun Khajuria (12117309)

الموضوعات:

Shuping landslide numerical calculation model. حسب Xiaowei Li (620087)

الموضوعات:

Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms حسب Guangyin Jia (21075537)

"…By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …"

UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms. حسب Fatemeh Keikha (20917848)

Comparison results of multi-models. حسب Xueying Kou (3940031)

الموضوعات: "…traditional optimization algorithms…"

Data and Scripts for 'A Predictive Model for Attention-deficit/hyperactivity Disorder and Its Subtypes in Children: A Back-propagation Neural Network Optimized with Genetic Algorithms Based on Multidimensional Cognitive Ability Tests' حسب Wang (20310746)

"…However, previous artificial intelligence-based diagnostic models for attention-deficit/hyperactivity disorder have faced challenges in achieving a balance among cost-effectiveness, low operational threshold, and high predictive accuracy. …"

Mean Absolute Error (compared with DXA-based measurement) for different prediction algorithms using all predictors in test data, and additional performance metrics for best model (n = 289 female, 318 male). حسب Nick Birk (15444728)

"…<p>Mean Absolute Error (compared with DXA-based measurement) for different prediction algorithms using all predictors in test data, and additional performance metrics for best model (n = 289 female, 318 male).…"

The framework of our model. حسب Qingling Zhang (758713)

الموضوعات:

Model’s measure methods. حسب Songsong Wang (8088293)

الموضوعات: "…necessitating extensive data…"

Data underlying the findings. حسب Carol Kotliar (22351525)

Data & code. حسب Mingming Li (502877)

الموضوعات:

Performance analysis of 500kW solar PV plant based on machine learning algorithms حسب Karthikeyan Balachandran (20410999)

"…Kernel Ridge Regression (KRR) demonstrated superior performance among the algorithms tested, producing results closely aligned with the actual data. …"