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)

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)

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. …”

Experimental steps of modulation pattern recognition method based on IABLN algorithm. by Ting Xie (191025)

Subjects:

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

Subjects:

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

“…<p>Machine learning algorithms hyperparameter values.</p>…”

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

“…<p>Performance of different machine learning algorithms.</p>…”

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. …”

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

“…<p>The performance matrix of different machine learning algorithms.</p>…”

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

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

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.…”

Algorithm framework. by Zongjin Li (38031)

Subjects:

AlgorithmsAnalysis.pdf by Ruth Lamprecht (21620834)

Subjects: “…Data structures and algorithms…”

Comparison results of proposed method with the state-of-the-art algorithms. by Yuanyuan Du (1911010)

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

“…<p>Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm.…”

Comparison of accuracy and recall between different algorithms. by Wangyouchen Zhang (21681025)

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. …”