Four factors and three levels of the experiment. 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. …”

Flowchart of curvature adaptive calculation. 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. …”

Four factors and three levels of the experiment. 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. …”

Comparison of surface profiles. 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. …”

Flowchart of adaptive variable impedance control. 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. …”

Overall workflow of this study. 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. …”

Robotic polishing system improves DH parameters. 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. …”

Flowchart of DBO-BPNN prediction. 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. …”

Supplementary Material 8 by Nishitha R Kumar (19750617)

“…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…”

Structure of building energy storage system. by Wenjie Wang (413433)

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

Low carbon planning case study. by Wenjie Wang (413433)

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

Analysis of results of carbon trading mechanisms. by Wenjie Wang (413433)

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

Comprehensive building energy system structure. by Wenjie Wang (413433)

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

Gated Feedforward Network (GDFN) Structure. by Xuanming Wang (22184274)

“…For this reason, an infrared night vision image enhancement algorithm based on cross-level feature fusion is proposed. …”

Pixel perception module structure. by Xuanming Wang (22184274)

“…For this reason, an infrared night vision image enhancement algorithm based on cross-level feature fusion is proposed. …”

Infrared night vision image test sample. by Xuanming Wang (22184274)

“…For this reason, an infrared night vision image enhancement algorithm based on cross-level feature fusion is proposed. …”

Data Sheet 1_Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay.docx by Anusha Klett (20748443)

“…</p>Discussion<p>Future integration with a perfusion-based drug screening system promises to enhance personalized cancer therapy by optimizing broad drug screening approaches and enabling real-time evaluation of therapeutic efficacy.…”

Additional file 7 of Global biogeography and projection of antimicrobial toxin genes by Ya Liu (205636)

“…Feature selection and hyperparameter tuning for the random forest algorithm. ATG abundance and diversity were predicted based on tenfold cross-validation. …”

Frequency analysis of ablation experiments. by Zhengyuan Zhang (491725)

“…A multi visual pattern mining algorithm based on variational inference Gaussian mixture model and pattern activation response graph is introduced to address the issues of insufficient frequency and discriminability faced by traditional algorithms. …”

Detailed information of each dataset. by Zhengyuan Zhang (491725)

“…A multi visual pattern mining algorithm based on variational inference Gaussian mixture model and pattern activation response graph is introduced to address the issues of insufficient frequency and discriminability faced by traditional algorithms. …”