Comparison of different optimization algorithms. by Hang Zhao (143592)

Wearable BAMI device for acquiring three-channel PPG signals and three-axis acceleration signals. by Heewon Chung (2881286)

Subjects:

Variation. by Heewon Chung (2881286)

Subjects:

Comparison of HR estimation results. by Heewon Chung (2881286)

Subjects:

Comparison summary of the HR estimation results obtained with and without MA cancellation. by Heewon Chung (2881286)

Subjects:

Examples of PPG signals corrupted by MAs. by Heewon Chung (2881286)

Subjects:

Comparison of the estimated HR trace obtained. by Heewon Chung (2881286)

Subjects:

Comparison of the HR estimation results obtained with and without MA cancellation for the ISPC (<i>n</i> = 23) and BAMI (<i>n</i> = 24) datasets. by Heewon Chung (2881286)

Subjects:

Time-frequency spectrum (TFS) of the PPG signals for <i>subject 1</i> obtained by the BAMI device. by Heewon Chung (2881286)

Subjects:

Comparison of MAEs of various HR estimation methods for the ISPC dataset. by Heewon Chung (2881286)

Subjects:

Performance comparison of the DFDF, FSM-DFDF, and FSM-SGPS HR estimation methods for the 24 subjects of the BAMI dataset. by Heewon Chung (2881286)

Subjects:

Bland–Altman plot and correlation. by Heewon Chung (2881286)

Subjects:

Performance comparison of the DFDF, FSM-DFDF, and FSM-SGPS HR estimation methods. by Heewon Chung (2881286)

Subjects:

Sample HR estimation results obtained with MA cancellation. by Heewon Chung (2881286)

Subjects:

Multi-algorithm comparison figure. by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

“…We also describe a novel hybrid searching algorithm that combines both molecular dynamics (MD)-based simulated annealing and genetic algorithm crossovers to address the enhanced sampling of the increased search space. …”

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

“…We also describe a novel hybrid searching algorithm that combines both molecular dynamics (MD)-based simulated annealing and genetic algorithm crossovers to address the enhanced sampling of the increased search space. …”

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

“…Crucially, we propose fitness functions based on approximate measures of the wave function compactness, which enable inexpensive genetic algorithm searches. …”

The benchmark functions. by Shuhui Yu (1535500)

Table 1_Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms.docx by Yuxuan Li (1674307)