Scatter diagram of different principal elements. by Jizhong Wang (7441697)

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

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

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Dataset for 'An Automated Workflow of Deep Learning Ensemble Model with Principal Component Analysis for Enhanced Material Characterisation in Energy Dispersive Spectroscopy' by Fanzhi Su (21005174)

<b>Discrimination of gold deposit types based on big data analysis and machine learning techniques</b> by Lihao Feng (20837036)

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. …”

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

Subjects:

Risk element category diagram. by Yao Hu (3479972)

“…This article used these data to establish an LSTM model, which trained LSTM to identify potential risks and provide early warning by learning patterns and trends in historical data. …”

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)

Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

Correlation heatmap of the principal components. by Muhammad Hilal Alkhudaydi (21560690)

“…For this reason, having a solid understanding of the elements responsible for these uncertainties is absolutely necessary. …”

Flowchart of the study. by Usman Haider (12630481)

Subjects:

Channel capacity of MIMO system with variable . by Usman Haider (12630481)

Subjects:

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. …”

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

Determination of cyclic behavior of various cross-section composite column-beam connections reinforced with FRP composite using FEM analysis and ML models by Yasemin Simsek Turker (22340676)

“…<p>This study examined the cyclic behavior of glass-fiber-reinforced polymer composite column-beam connectors in various diameters. Mean learning (XGBoost and the random forest algorithm) and numerical methods were used to identify the data collected experimentally due to the rotation behavior. …”