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)

<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. …”

Improved PSO-IFA hybrid optimization algorithm flowchart. by Zhengyu Xu (8550660)

PSO parameters. by Saad Hammood Mohammed (20623506)

“…Future research should focus on integrating real-world smart grid data for validation, developing adaptive learning mechanisms, exploring other bio-inspired optimization algorithms, and addressing real-time processing and scalability challenges in large-scale deployments.…”

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. …”

Confusion matrix of the proposed algorithm and state of the art (part 1). by Meshari Alazmi (452881)

The curve of PSO algorithm inversion results under the overburden layer model. by Zhengyu Xu (8550660)

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)

Feature Selection Parameters for GWO-PSO. by Saad Hammood Mohammed (20623506)

“…Future research should focus on integrating real-world smart grid data for validation, developing adaptive learning mechanisms, exploring other bio-inspired optimization algorithms, and addressing real-time processing and scalability challenges in large-scale deployments.…”

The curve of PSO-IFAH algorithm inversion results under the overburden layer model. by Zhengyu Xu (8550660)

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

The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

“…Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”

Feature selection using hybrid GWO-PSO. by Saad Hammood Mohammed (20623506)

“…Future research should focus on integrating real-world smart grid data for validation, developing adaptive learning mechanisms, exploring other bio-inspired optimization algorithms, and addressing real-time processing and scalability challenges in large-scale deployments.…”

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

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