Improve algorithm settings. by Hui Zhao (7395)

“…This study proposes an intelligent anti-interference algorithm that combines deep neural networks and game theory, and constructs a model based on near-end strategy optimization. …”

Algorithm parameter setting. by Haiyan Zhang (176919)

“…To address these issues, we have developed the 3D bilateral filtering algorithm with noise level estimation assisted by multi-temporal SAR(3D-NLE-BF). …”

Pseudocode for the missForestPredict algorithm. by Elena Albu (15181070)

Subjects: “…missforest imputation algorithm…”

Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

“…The AB model, on the other hand, has the highest error values in the test data set, but still provides an acceptable prediction accuracy. …”

Phases of proposed algorithm. by Muhammad Abdullah (3357692)

Subjects:

Pseudocode for the missForestPredict algorithm - new observation. by Elena Albu (15181070)

Subjects: “…missforest imputation algorithm…”

The overview of the ML algorithms’ flowchart. by Yasemin Ayaz Atalan (21989402)

“…The AB model, on the other hand, has the highest error values in the test data set, but still provides an acceptable prediction accuracy. …”

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

Subjects:

Performance of models by different algorithms. by Yong Zhang (5893)

Subjects:

The CCCP algorithm of EQSVR based on ClipDCD. by Aiman Tahir (21485064)

Algorithm deployment platform build. by Jie Wang (16762)

Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms. by Daniel Walke (21680915)

Subjects:

Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx by Xinying Yu (16400811)

“…Background and aims<p>Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to improve endoscopic SSL diagnosis.…”

Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms by Hossein Mashhadimoslem (11456548)

“…In this research study, we created a data set and collected data points from porous adsorbents (2789) from 21 published papers, including carbon-based, porous polymers, metal–organic frameworks (MOFs), and zeolites, to understand their characteristics for CO₂ adsorption. …”

Control Parameters of IRSA Algorithm. by Wan-Hua Zhang (21601139)

Subjects:

Data_Sheet_1_Development and pilot evaluation of an evidence-based algorithm for MASLD (formerly NAFLD) management in primary care in Europe.docx by Marilena Anastasaki (4453894)

“…</p>Methods<p>An international multidisciplinary panel of experts oversaw pathway development, which was designed as a two-step algorithm with defined and sequenced tasks. …”

Median runtime in seconds for building imputation models and imputing the training set (the Q1 - Q3 range is presented in the shiny app). by Elena Albu (15181070)

Subjects: “…missforest imputation algorithm…”

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

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