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

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

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

The Search process of the genetic algorithm. by Wenguang Li (6528113)

Subjects:

Obtained heat map for regression-based algorithms. by Akshansh Mishra (21001499)

Subjects:

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

Feature importance plot obtained for regression-based algorithms. by Akshansh Mishra (21001499)

Subjects:

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

Subjects:

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

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

“…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.</p><p dir="ltr"><b><u>Sensitivity Analysis</u></b></p><p dir="ltr"><b>cargas25_50_75_AS:</b> contains the pre processed updated dataset of pharmaceuticals sales data for the 3 scenarium conditions.…”

Results obtained from the supervised machine learning regression-based algorithms in the present work. by Akshansh Mishra (21001499)

Subjects:

Decision tree construction process in Microsoft decision tree algorithm. by Liangzheng Wu (20501304)

Subjects:

Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality. by Akshansh Mishra (21001499)

Subjects:

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

Genetic algorithm flowchart. by Wenguang Li (6528113)

Subjects:

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 homomorphic encryption 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. …”

Path data for different algorithms in four different environments. by Tengfei Ma (597633)

Subjects:

Genetic algorithm iteration data chart. by Wenguang Li (6528113)

Subjects:

Performance of various biclustering algorithms on FilmTrust dataset with Q-learning. by Muhammad Waqar (500788)

Subjects: