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

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

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

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

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

Subjects:

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

Effects of processing rate and algorithms performance on estimates of biodiversity. by Valentine Fleuré (12822137)

Subjects:

The pseudocode of the RFE algorithm. by Zuzhen Ji (17593348)

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

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

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

Subjects:

The steps of applying RF algorithm. by Zuzhen Ji (17593348)

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

“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”

Comparison of homomorphic encryption algorithms. by JiaMing Wang (334865)

“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”

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

Subjects:

Effect of post-processing threshold and algorithms performance on the species composition estimation. by Valentine Fleuré (12822137)

Subjects:

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

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

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

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.…”