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

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. …”

Architecture of AGAN algorithm model. by Xing Chen (140292)

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

The algorithm of the applied models. by Elif Tuçe Bal (21367965)

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Evaluation of model aggregation algorithms. by JiaMing Wang (334865)

“…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …”

Comparison of the EODA algorithm with existing algorithms in terms of recall. by Sunil Kumar (102321)

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Comparison of the EODA algorithm with existing algorithms in terms of precision. by Sunil Kumar (102321)

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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>…”

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.…”

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

Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. by Sunil Kumar (102321)

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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)

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)

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

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

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