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

Risk element category diagram. by Yao Hu (3479972)

Machine Learning Models for Efficient Property Prediction of ABX₃ Materials: A High-Throughput Approach by Soundous Touati (20282599)

Subjects:

Machine Learning Models for Efficient Property Prediction of ABX₃ Materials: A High-Throughput Approach by Soundous Touati (20282599)

Subjects:

Machine Learning Models for Efficient Property Prediction of ABX₃ Materials: A High-Throughput Approach by Soundous Touati (20282599)

Subjects:

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

ROC curve for each ML algorithm. by Caroline L. Alves (14271413)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…”

, MSE, and MAE of the optimised algorithms. by Itxasne Antúnez Sáenz (22794696)

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Comparison of different algorithms. by Jiandong Qiu (20389944)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…It addresses the limitations of the hydrophone coprime array in utilizing all array elements’ information and mitigates the interference of ocean noise in shallow waters, which impairs the accuracy and resolution of target direction estimation. …”

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

<b>Discrimination of gold deposit types based on big data analysis and machine learning techniques</b> by Lihao Feng (20837036)

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Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…It addresses the limitations of the hydrophone coprime array in utilizing all array elements’ information and mitigates the interference of ocean noise in shallow waters, which impairs the accuracy and resolution of target direction estimation. …”

Dataset for 'An Automated Workflow of Deep Learning Ensemble Model with Principal Component Analysis for Enhanced Material Characterisation in Energy Dispersive Spectroscopy' by Fanzhi Su (21005174)

Flowchart of the subspace fitting algorithm for interpolated coprime arrays. by Chuanxi Xing (20141665)

Elements: A Sustainable, Resource-Efficient Cyberinfrastructure for Notebook Interactive ML Training Workloads by Yue Cheng (22087328)

Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction by Mohamad A. Raja (19640297)

Subjects:

Coprime array with interpolated array elements. by Chuanxi Xing (20141665)

“…It addresses the limitations of the hydrophone coprime array in utilizing all array elements’ information and mitigates the interference of ocean noise in shallow waters, which impairs the accuracy and resolution of target direction estimation. …”