Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…An adaptive impedance control strategy is implemented to enhance force control, and PD iteration and RBF neural networks are used to ensure stable contact force and accuracy. …”

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>…”

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>…”

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

Flowchart of DBO-BPNN prediction. by Ma Haohao (22177538)

“…An adaptive impedance control strategy is implemented to enhance force control, and PD iteration and RBF neural networks are used to ensure stable contact force and accuracy. …”

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

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

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

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

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

Subjects:

Main code. by Jingguo Bi (21439766)

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. …”

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)

Chromosome coding. by Junjie He (700642)

Cost and cases diagnosed for each algorithm in different modelled scenarios. by Tushar Garg (9283574)

Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) by bowen pang (21837359)

“…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …”