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>…”

Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

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)

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. …”

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

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

Subjects:

Comparisons of 90% credible intervals (CIs) for off-diagonal elements of precision matrix Ω. by Aapo E. Korhonen (22530674)

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

Distribution of off-diagonal elements in the estimated precision matrix with hyperparameters: varying values (colors) and fixed = 0.80. by Aapo E. Korhonen (22530674)

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

“…</p><p>Purpose</p><p>This study aims to introduce a novel, automated approach for CPM using YOLOv8, a state-of-the-art object detection algorithm, to enhance efficiency and accuracy in monitoring construction projects.…”

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

Main code. by Jingguo Bi (21439766)

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. …”

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. …”

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

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

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