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

Metrics of the complex network algorithm. حسب Xumei Pan (21464351)

الموضوعات:

Classification accuracy of feature set 2 and feature set 3 in each algorithm. حسب Quan Shao (20148209)

The Polygon Approximation Algorithm uses turning points on the contour to represent an inscribed polygon, where d controls how many turning points are generated. حسب Sijie Chen (1622476)

الموضوعات:

Pseudocode of the BBAC_I Algorithm. حسب Zezhi Lin (22521663)

Execution Steps of the EOF Algorithm. حسب Zezhi Lin (22521663)

Analysis of single features of vehicle movement. حسب Yaqin He (4627711)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

Performance comparison for different algorithms reported in terms of bootstrapped canonical correlation of each component. حسب Shashwat Kumar (19120858)

Excerpts from the raw acquired data set with the tracking algorithm. حسب Hannes Benecke (17409369)

Data fitting and inferences of time-dependent parameters for BC using the VOCs-INN algorithm. حسب Wenxuan Li (2566450)

Data fitting and time-dependent parameters inferences for five regions within BC using the VOCs-INN algorithm. حسب Wenxuan Li (2566450)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

الموضوعات:

Value ranges of three representative points. حسب Bin Zhao (276445)

"…Numerical experiments using actual survey data from Kunshan City yield several noteworthy findings: (1) An optimal moderate-sized time step exists for rolling optimization to minimize either the average delay time or total costs; specifically, an excessively small time step may increase vehicle average delay time or total costs; (2) The percentage of delay reduction achieved by our method, compared to Synchro software, reaches a maximum of approximately 70% when traffic demand is moderate and the initial state is low; and (3) The percentage reduction in average delay or total costs compared to Synchro initially increases and then decreases with rising traffic intensity.…"

Reshaping Industrial Maintenance with Machine Learning: Fouling Control Using Optimized Gaussian Process Regression حسب Francesco Negri (12992994)

"…The algorithm’s predictive capabilities are validated on five distinct data sets representing the evolution of the column’s pressure differential, a key indicator of fouling. …"

Sensitivity Analysis of the “Swift Effect” Across Matching Algorithms. حسب James M. Smoliga (9074225)

الموضوعات:

Simulation validation, experimental results and performance of mass parameter estimation algorithm حسب Silvia Eldring (21350045)

"…Mass and centre of mass location are estimated accurately using measured data and represent changes in these parameters accurately over various load cases and scenarios. …"