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

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

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

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. …”

Classification results of ML-based algorithms for literary works—A comparison of accuracy. by Arta Misini (19929042)

Classification results of ML-based algorithms for newsroom columns—A comparison of accuracy. by Arta Misini (19929042)

Comparison of results based on CycleGAN method. by Xiaojun Wang (50332)

Subjects:

Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms by 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. …”

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

The performance matrix of different machine learning algorithms. by Ahmad M. Al-Omari (20460931)

Algorithm framework. by Zongjin Li (38031)

Subjects:

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

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Decision tree algorithms. by Mahbub E. Sobhani (22278967)

“…Ensemble learning in supervised machine learning is also a common technique for handling imbalanced data. …”

Classification results of ML-based algorithms for literary works and newsroom columns combined—A comparison of accuracy. by Arta Misini (19929042)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Clustering with k-means algorithm. by Efehan Ulas (10987211)

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Flowchart of the GAN–BWGNN HAD algorithm. by Ruhan A (12403982)

“…<div><p>In this research, we have proposed a novel anomaly detection algorithm for processing hyperspectral images (HSIs), called the Graph Attention Network–Beta Wavelet Graph Neural Network-based Hyperspectral Anomaly Detection (GAN–BWGNN HAD). …”

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. …”