Action potential of sample points in model 1. by Hang Zhao (143592)

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”

Performance validation on the MIT-BIH database. by Hang Zhao (143592)

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”

Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”

Performance comparison with other papers. by Hang Zhao (143592)

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”

Action potential of sample points in model 2. by Hang Zhao (143592)

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”

Action potential of sample points in model 0. by Hang Zhao (143592)

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”

Immunoassay of key anoikis-related genes. by Yufeng He (5673119)

Expression analysis of lncRNAs between the MCAO and sham groups. by Meimei Xu (744867)

Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO₃–BiMeO₃ Ceramics by Jian Liu (33711)

“…After that, multiple machine learning algorithm models were built to train and predict <i>W</i>_rec and η. …”

The UB and LB of the bearing capacity factors <i>N</i>_c. by Rui Sun (177521)

“…To enhance the precision of the proposed UB finite element method using a reduced element count, this study implements a mesh adaptation algorithm grounded in plastic dissipation. …”

Machine Learning Study of Methane Activation by Gas-Phase Species by Ying Xu (9172)

“…In this study, by assembling a data set encompassing a total of 134 gas-phase metal species documented in the literature for methane activation via the mechanism of oxidative addition, machine learning (ML) models based on the backpropagation artificial neural network algorithm have been established with a range of intrinsic electronic properties of these species as features and the experimental rate constants of the reactions with methane as the target variables. …”

Machine Learning Study of Methane Activation by Gas-Phase Species by Ying Xu (9172)

“…In this study, by assembling a data set encompassing a total of 134 gas-phase metal species documented in the literature for methane activation via the mechanism of oxidative addition, machine learning (ML) models based on the backpropagation artificial neural network algorithm have been established with a range of intrinsic electronic properties of these species as features and the experimental rate constants of the reactions with methane as the target variables. …”

Distribution of different numbers (<i>k</i>) of FMs in H&N tumor model. by Haolin Liu (789542)

Octree spatial visualization. by Gaia Marangon (22582137)

“…The model, implemented within a finite element environment, captures essential bone characteristics, including orthotropic elasticity, viscoplasticity, and progressive damage accumulation. …”

Reduced yield-deformation parameters. by Gaia Marangon (22582137)

“…The model, implemented within a finite element environment, captures essential bone characteristics, including orthotropic elasticity, viscoplasticity, and progressive damage accumulation. …”

Preprocessed Spatial Dynamic Wind Power Forecasting (SDWPF) Dataset from Baidu KDD Cup 2022 Challenge by Yuan Shi (22779782)

Breakdown of respondents. by Qunita Brown (19751520)

“…High quality data from Africa will afford diversity to global data sets, reducing bias in algorithms built for artificial intelligence technologies in healthcare. …”

Integrating drought warning water level with analytical hedging for reservoir water supply operation by Wenhua Wan (8051543)

“…</p><p dir="ltr">2. R codes for the HR-based DP algorithm, the processes deriving seasonal DWWL, and the statistical performance of HR with DWWL during typical drought years.…”

Probability graphical model of scMSI. by Yuqian Liu (1413763)

Linear mixed-effect model results. by Shirong Chen (22127046)

“…Additionally, we found three distinct preparatory reading patterns: <i><i>Fast Surface-level Preparatory Reading, Systematic Deep-level Preparatory Reading,</i></i> and <i><i>Extended Iterative Preparatory Reading,</i></i> each reflecting a distinct combination of cognitive investment and reading speed. …”