Model Evaluation Metrics. by Fuchao Yan (21022006)

“…The study utilizes the Hilbert-Schmidt Independence Criterion-based Variable Space Iterative Optimization algorithm (HSIC-VSIO) for feature variable selection, and combines it with Partial Least Squares Regression (PLSR) to build a spectral fusion quantitative model. …”

Table 1_Development of a prognostic prediction model and visualization system for autologous costal cartilage rhinoplasty: an automated machine learning approach.docx by Aihemaitijiang Niyazi (22355542)

“…We proposed an improved metaheuristic algorithm (INPDOA) for AutoML optimization, validated against 12 CEC2022 benchmark functions. …”

Raman spectra. by Fuchao Yan (21022006)

“…The study utilizes the Hilbert-Schmidt Independence Criterion-based Variable Space Iterative Optimization algorithm (HSIC-VSIO) for feature variable selection, and combines it with Partial Least Squares Regression (PLSR) to build a spectral fusion quantitative model. …”

Main Experimental Instruments. by Fuchao Yan (21022006)

“…The study utilizes the Hilbert-Schmidt Independence Criterion-based Variable Space Iterative Optimization algorithm (HSIC-VSIO) for feature variable selection, and combines it with Partial Least Squares Regression (PLSR) to build a spectral fusion quantitative model. …”

Table 1_Assessment and prediction of copper release amount from copper oxide facepieces.docx by Zengqing Bai (22308178)

“…Among them, the SVM algorithm performed the best, further improving its predictive ability by using data augmentation methods and Particle Swarm Optimization (R² of 0.9045, RMSE of 0.0762, and MAE of 0.0525). …”

Octree spatial visualization. by Gaia Marangon (22582137)

“…To enhance computational efficiency, an octree-based algorithm has been employed to assign local orthotropic axes based on CT data to enable accurate representation of bone mechanical response across complex geometries. …”

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

“…To enhance computational efficiency, an octree-based algorithm has been employed to assign local orthotropic axes based on CT data to enable accurate representation of bone mechanical response across complex geometries. …”

Prediction of New Crystal of Titanium Oxides and Property Calculations Using Structure Prediction Software and First-Principles Theory by Jinrong Huo (10657343)

“…The crystal structure prediction software CBD-GM, based on the Bayesian optimization algorithm combined with deep learning, was used to predict the crystal structure of titanium oxide. …”

Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains by Myungjin Kim (60778)

“…An efficient optimization algorithm is developed using the alternating direction method of multipliers (ADMM). …”

Image 1_Proof of concept of fully automated adaptive workflow for head and neck radiotherapy treatments with a conventional linear accelerator.pdf by Gaia Muti (20601608)

“…Introduction<p>The objective of this study is to evaluate the performance of an automatic workflow for head-and-neck (H&N) radiotherapy using a multi-atlas based auto-contouring software and an a-priori multicriteria plan optimization algorithm and implement an adaptive online approach with CBCT images. …”

Machine Learning-Driven Kinetic Elucidation for Sustainable Solvent-Free Continuous ε‑Caprolactone Production via Propionaldehyde-Mediated Nanocarbon Catalysis by Qing Hu (152962)

“…A kinetic model was established by focusing on two primary reactions: Cy = O oxidation (Reaction I) and PRA auto-oxidation (Reaction II), from which the reliable kinetic parameters were obtained via genetic algorithm-based optimization. The results demonstrated that nanocarbons accelerated both reactions and increased the ratio of <i>k</i>_I/<i>k</i>_II, thereby improving the value of η. …”

Machine Learning-Driven Kinetic Elucidation for Sustainable Solvent-Free Continuous ε‑Caprolactone Production via Propionaldehyde-Mediated Nanocarbon Catalysis by Qing Hu (152962)

“…A kinetic model was established by focusing on two primary reactions: Cy = O oxidation (Reaction I) and PRA auto-oxidation (Reaction II), from which the reliable kinetic parameters were obtained via genetic algorithm-based optimization. The results demonstrated that nanocarbons accelerated both reactions and increased the ratio of <i>k</i>_I/<i>k</i>_II, thereby improving the value of η. …”

Robot polishing experimental platform. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Data Sheet 1_Large language models in the management of chronic ocular diseases: a scoping review.xls by Jiatong Zhang (394129)

“…Future directions emphasize the need for specialized model training, multimodal algorithm optimization, the establishment of a multinational multicenter clinical validation platform, and the construction of an ethical framework for dynamic regulation. …”

Backpropagation neural network structure. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Planning parameters for energy storage equipment. by Wenjie Wang (413433)

“…This paper proposes a Multi - load Balancing Control Strategy (MLBS) based on the Improved Tuna Swarm Optimization (ITSO) algorithm. …”

Diagram of the overall framework of the study. by Wenjie Wang (413433)

“…This paper proposes a Multi - load Balancing Control Strategy (MLBS) based on the Improved Tuna Swarm Optimization (ITSO) algorithm. …”

Polishing experimental data (<i>μ<i>m</i></i>). by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Partial polishing of experimental data. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Table 1_Large language models in the management of chronic ocular diseases: a scoping review.docx by Jiatong Zhang (394129)

“…Future directions emphasize the need for specialized model training, multimodal algorithm optimization, the establishment of a multinational multicenter clinical validation platform, and the construction of an ethical framework for dynamic regulation. …”