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. …”

Computed mean error rate for each algorithm and dataset. by Yubraj Gupta (7465394)

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Here is the extracted cattle’s image from the original image using YOLOv5 algorithm, which accurately detects and isolates the cattle for further processing. by Md Junayed Hossain (22615268)

Performance metrics evaluation of each algorithm on four diverse datasets. by Yubraj Gupta (7465394)

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Computed AUROC and pixel accuracy for all four distinct datasets using all seven proposed algorithms. by Yubraj Gupta (7465394)

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Signals around one of the extra events detected by the final model. by Xiaowen Chen (192197)

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Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …”

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Comparison with recent studies: Comparison with recent studies. by Islam Zada (21755819)

Example of a HS being wrongly detected by the GRF threshold method due to foot-dragging. by Xiaowen Chen (192197)

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Summary metrics for differences between LSTM and manual events for all trials from all subjects. All error metrics were extremely small for both HS and TO. However, the TO detectio... by Xiaowen Chen (192197)

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

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Cellwise Outlier Detection in Heterogeneous Populations by Giorgia Zaccaria (21245577)

“…In the model-based clustering literature, several methodologies have been proposed to detect units that deviate from the majority of the data (rowwise outliers) and trim them from the parameter estimates. …”

outcome of HPDL-MIAIHD technique with recent methods. by Naif Almakayeel (16846021)

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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