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

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

Federated averaging algorithm pseudocode. by Hadi Mohammadian KhalafAnsar (22783784)

Learning curves under various machine algorithms. by Jinlin Teng (17972595)

“…The findings are as follows:</p><p>1.Machine learning algorithms can be effectively used for urban noise evaluation. …”

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

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

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

ROC curves under various machine algorithms. by Jinlin Teng (17972595)

“…The findings are as follows:</p><p>1.Machine learning algorithms can be effectively used for urban noise evaluation. …”

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

Subjects:

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)

Data Sheet 1_Hybrid machine learning algorithms accurately predict marine ecological communities.pdf by Luciana Erika Yaginuma (10477013)

“…This model still correctly classified 90% of test data. Such findings demonstrated that it is possible to infer the spatial distribution of the nematode associations using only a small set of environmental features. …”

Data for "Machine Learning-based Prediction of Passive Gears from Vessel Tracking Data in Small-Scale Multi-gear Fisheries" by Pamela Lattanzi (16454871)

Subjects:

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

The accuracy of all employed learning algorithms. by Quan Shao (20148209)

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

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. …”

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Data sources. by Jinlin Teng (17972595)

“…The findings are as follows:</p><p>1.Machine learning algorithms can be effectively used for urban noise evaluation. …”

S1 Data - by Jinlin Teng (17972595)

“…The findings are as follows:</p><p>1.Machine learning algorithms can be effectively used for urban noise evaluation. …”

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)