Convergence curve of the DBO algorithm. 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. …”

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

“…<p>Calculation algorithm implementing the proposed model.</p>…”

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. …”

The block diagram of the ASO algorithm implementation for inverse modeling. by Ahmad Al-Talabi (21387479)

“…<p>The block diagram of the ASO algorithm implementation for inverse modeling.</p>…”

ICEEMDAN algorithm steps with implementation details. by Yaopeng Han (22622718)

Real-time implementation of the proposed model. by Lai Yingdong (22403854)

“…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…”

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

Overall flow chart of the model. by Bei Huang (485021)

Subjects:

Parameter configuration for ChildEmoNet algorithm implementation. by Zhang Shanshan (22272359)

Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Model’s measure methods. 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.…”

Vehicle dynamics model implemented in Simulink. by Seung-Min Ryu (21463891)

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Comparison of the optimal solutions between analytical model and genetic algorithm. by Silvia Merdikawati (20298266)

Subjects:

Conceptual framework for the implementation of the hybrid model. by Micanaldo Ernesto Francisco (18723706)

Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

“…We used the common interface provided by Neuroptimus to conduct a detailed comparison of more than twenty different algorithms (and implementations) on six distinct benchmarks that represent typical scenarios in neuronal parameter search. …”

The results of implementing the models. by Hanieh Alimiri Dehbaghi (20405015)

“…Radiomics features were extracted from each image and finally, the machine learning models were implemented on these features. The used machine learning algorithms are Gradient Tree Boosting (GBM), eXtreme Gradient Boosting (XGBoost), and Light GBM. …”

The method implemented by the winning team. by Pramod Shinde (20968597)