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. …”

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

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

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

Subjects:

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

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

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

“…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …”

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

List of the time used by each algorithm. by JiaMing Gong (20427837)

“…To this end, this paper proposes an entropy-based dynamic ensemble classification algorithm (EDAC) to consider data streams with class imbalance and concept drift simultaneously. …”

Framework of the proposed algorithm. by Jia Li (160557)

Subjects:

Data used in "Material Classification System using Inductive Tactile Sensors and Machine Learning Algorithms" by Yuning Jiang (19758561)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

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. …”

The main components and data flow of the proposed algorithm. by Raed Alharthi (18340157)

DCA curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>DCA curves on testing data of eight machine learning algorithm models.</p>…”

ROC curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>ROC curves on testing data of eight machine learning algorithm models.</p>…”

Calibration curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>Calibration curves on testing data of eight machine learning algorithm models.</p>…”

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