Example of motion correction comparison. by Yukako Yamane (9034133)

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Federated Mixture of experts Correction Algorithm. by Ruizhi Yuan (16864629)

Overview of the Cell2Spatial algorithm. by Huamei Li (8815955)

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Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

“…(C) We use the synthetic data as input for three families of regression-based algorithms: the EQO of Ref. …”

Fitting flow of DAKM algorithm. by Xiaobing Chen (572034)

“…This paper suggests a better algorithm based on feature points method. During the curve approximation process, the projection points of data points and their parameters are calculated, and the data point parameters are corrected to achieve dynamic adjustment of the knot vector. …”

Participant selection algorithm. by Alex Gough (16734033)

Participant selection algorithm. by Alex Gough (16734033)

Patient selection algorithm. by Dwi Kisworo Setyowireni (22656144)

Distribution of selected studies by database. by Yong Lin Lai (20854961)

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The selection algorithm flowchart. by Shiyu Wang (813972)

Parameterization of the feature selection algorithm. by Chenyi Zhu (9383370)

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Distribution of selected studies by publication year. by Yong Lin Lai (20854961)

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PRISMA flowchart for the study selection process. by Yong Lin Lai (20854961)

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Screening criteria applied for the study selection process. by Yong Lin Lai (20854961)

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Data generation algorithm. by Aluwani Ramalata (21262977)

scMoMtF corrects batch effect in the CITE-seq dataset. by Wei Lan (1390307)

GMM-KVS method flowchart. by Jingnan Yan (20727331)

“…To address this challenge, this paper proposes a novel trajectory learning method for robotic arms that combines Gaussian Mixture Model with a k-value selection algorithm. The proposed approach leverages the principles of the elbow method along with the properties of exponential functions, correction terms, and weight adjustments to accurately determine the optimal k-value. …”

Collected demonstration trajectories. by Jingnan Yan (20727331)

“…To address this challenge, this paper proposes a novel trajectory learning method for robotic arms that combines Gaussian Mixture Model with a k-value selection algorithm. The proposed approach leverages the principles of the elbow method along with the properties of exponential functions, correction terms, and weight adjustments to accurately determine the optimal k-value. …”

Schematic diagram of the elbow method. by Jingnan Yan (20727331)

“…To address this challenge, this paper proposes a novel trajectory learning method for robotic arms that combines Gaussian Mixture Model with a k-value selection algorithm. The proposed approach leverages the principles of the elbow method along with the properties of exponential functions, correction terms, and weight adjustments to accurately determine the optimal k-value. …”

IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

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