Performance of machine learning algorithms. by Wenxue Liu (6877754)

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Algorithm flow based on CL-EPIDTN. by Fang Yang (123514)

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by 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.…”

Obtained heat map for regression-based algorithms. by Akshansh Mishra (21001499)

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The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Feature importance plot obtained for regression-based algorithms. by Akshansh Mishra (21001499)

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Supporting data for "Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution" by Xianqi Jiang (9391832)

“…To this end, this study, ''Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution'', focuses on using AI-based deep learning algorithms for accurate nowcasting of cloud evolution. …”

Types of machine learning algorithms. by 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. …”

Surface Tension Prediction of Fuel Additives Based on Machine Learning Model with Subtraction-Average-Based Optimizer Algorithm by Jianan Wang (359744)

“…Then, a BP neural network model with the subtraction-average-based optimizer (SABO) algorithm was proposed. The results show that the SABO-BP model significantly reduced the deviation between calculated and experimental values, outperforming the previous empirical models. …”

Comparison of federated learning algorithms. by Duy-Dong Le (22057362)

Initialization Algorithm. by Ruizhi Yuan (16864629)

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Results obtained from the supervised machine learning regression-based algorithms in the present work. by Akshansh Mishra (21001499)

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

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

Federated Harmony Algorithm. by Ruizhi Yuan (16864629)

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Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality. by Akshansh Mishra (21001499)

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

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Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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