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>…”

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)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

Data and Scripts for 'A Predictive Model for Attention-deficit/hyperactivity Disorder and Its Subtypes in Children: A Back-propagation Neural Network Optimized with Genetic Algorithms Based on Multidimensional Cognitive Ability Tests' by Wang (20310746)

“…Using <a href="" target="_blank">multidimensional cognitive ability tests</a> and a <a href="" target="_blank">back-propagation neural network</a> optimized by a genetic algorithm, this study developed a computer-aided diagnostic model to distinguish children with attention-deficit/hyperactivity disorder and its specific subtypes. …”

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

Data and Scripts for 'Application of Multidimensional Cognitive Ability Tests in Computer-Assisted Diagnosis of Attention-Deficit/Hyperactivity Disorder and Its Subtypes in Children: Based on A Genetic Algorithm Optimized Back-Propagation Neural Network Predictive Model' by Wang (20310746)

“…Using <a href="" target="_blank">multidimensional cognitive ability tests</a> and a <a href="" target="_blank">back-propagation neural network</a> optimized by a genetic algorithm, this study developed a computer-aided diagnostic model to distinguish children with attention-deficit/hyperactivity disorder and its specific subtypes. …”

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

Subjects:

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)

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

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

Subjects:

Augmentation levels with back-translation. by Rodrigo Gutiérrez Benítez (19746443)

“…<div><p>Over the last ten years, social media has become a crucial data source for businesses and researchers, providing a space where people can express their opinions and emotions. …”

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)