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

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

Parameters of the machine learning algorithms used in the study. حسب Xiaoyan Yang (259084)

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Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …"

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …"

Data generation algorithm. حسب Aluwani Ramalata (21262977)

Performance of different machine learning algorithms. حسب Apichat Suratanee (634281)

Machine learning algorithms hyperparameter values. حسب Mahbub E. Sobhani (22278967)

ML algorithms used in this study. حسب Toheeb Salahudeen (21368040)

"…This study employed advanced machine learning techniques to classify major depressive disorders based on clinical indicators and mitochondrial oxidative stress markers. …"

Types of machine learning algorithms. حسب Md. Merajul Islam (12646837)

"…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …"

The relevant data file for this article. حسب Linsha Liu (20378293)

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. حسب Júlia Bijos (14489543)

"…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.</p><p dir="ltr"><b><u>Sensitivity Analysis</u></b></p><p dir="ltr"><b>cargas25_50_75_AS:</b> contains the pre processed updated dataset of pharmaceuticals sales data for the 3 scenarium conditions.…"

DataSheet1_Predicting adverse drug event using machine learning based on electronic health records: a systematic review and meta-analysis.docx حسب Qiaozhi Hu (8775155)

"…Introduction<p>Adverse drug events (ADEs) pose a significant challenge in current clinical practice. Machine learning (ML) has been increasingly used to predict specific ADEs using electronic health record (EHR) data. …"

Definitions of relevant SSA parameters. حسب Yeping Shi (14279118)

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Flowchart of the SSA-based optimization of the BPNN algorithm. حسب Yeping Shi (14279118)

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Machine learning prediction algorithm flow chart. حسب Ahmad M. Al-Omari (20460931)

Data used in "Material Classification System using Inductive Tactile Sensors and Machine Learning Algorithms" حسب Yuning Jiang (19758561)

"…Various machine learning algorithms were employed to train classification models, and an aggregated model was presented based on the individual classifiers. …"

Relevant computed image data. حسب Zhaoyu Ku (20660546)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…"

Receiver operator characteristic (ROC) curves of the machine learning algorithms. حسب Yue Lv (549862)