Factors influencing the discovery of new genetic signatures. by Wei Liu (20030)

Heavy-load transfer steel platform. by Meijun Shang (22806461)

“…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. …”

Traditional scaffolding reinforcement system. by Meijun Shang (22806461)

“…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. …”

Iteration curve of the optimization process. by Meijun Shang (22806461)

“…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. …”

ChatbotDjango by Muammar, SST, M.Kom (21435692)

Furniture design based on cultural orientation: a thematic review by Wenhong Huang (1675600)

High-entropy sulfide data for clustering comparison by Alexander Eggeman (11230284)

A. Scatter plot of the training set data before batch correction; B: Scatter plot of the training set data after batch correction. by Min-xiao Wang (20868922)

Range of point clouds. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

Results of ablation experiment. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

Transformer Encoder network structure. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

Line chart of frame rate. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

The total loss and three-component loss. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

Improved upsampling module based on Transformer. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

R project including metadata update. by Frederik Stein (22146203)

“…These problems appear to stem from both algorithmic limitations and deficiencies in submission and post-submission processes. …”

Classes of errors and gaps in BOLD metadata. by Frederik Stein (22146203)

“…These problems appear to stem from both algorithmic limitations and deficiencies in submission and post-submission processes. …”

Principal component analysis (PCA) was applied to reduce the dimensionality of the dataset, and hierarchical clustering was then used to identify kinematic subpopulations. by Nancy A. Juárez-Contreras (22794057)

Riemann Hypothesis Solution: A Structured Hilbert-Polya Operator Realization via Entropy Geometry by Jennifer Bulyaki (22283308)

Spatial patterns of the CAPs estimated from both splits are reproducible and strongly correlated with at least one of the basis CAPs. by Kangjoo Lee (11648345)

LSTM model’s equations. by Songsong Wang (8088293)

“…The findings indicate that the LSTM model, when integrated with the watershed-internal KG and LLM, can effectively incorporate critical elements influencing water level changes, the accuracy of the LLM-KG-LSTM model is enhanced by 3% compared to the standard LSTM model, and the LSTM series outperforms both RNN and GRU models, Our method will guide future research from the perspective of focusing on forecasting algorithms to the perspective of focusing on the relationship between multi-dimensional disaster data and algorithm parallelism.…”