Heuristic approaches for configuring network alignment algorithms. by Giuseppe Agapito (104634)

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Recommended network representation formats for different types of biological networks. Each biological network type exhibits unique topological characteristics that make certain re... by Giuseppe Agapito (104634)

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Prediction performance compared with the CART algorithm. by Yixian Wen (12201388)

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Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

Prediction performance compared with random forest algorithm. by Yixian Wen (12201388)

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Comparison of preprocessing methods for network alignment. by Giuseppe Agapito (104634)

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Key aspects of network alignment documentation. by Giuseppe Agapito (104634)

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Accuracy verification of big data diagnosis and early warning algorithm. by Hao-yang Li (17815508)

Comparison of local and global network alignment approaches. by Giuseppe Agapito (104634)

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Algorithms runtime comparison. by Meilin Zhu (688698)

“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”

Representative tools using heuristic strategies for network alignment. by Giuseppe Agapito (104634)

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Proposed Algorithm. by Hend Bayoumi (22693738)

“…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”

Solution results of different algorithms. by Meilin Zhu (688698)

“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”

Performance of different machine learning algorithms. by Apichat Suratanee (634281)

Event-driven data flow processing. by Yixian Wen (12201388)

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Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

“…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”

Evaluation of model aggregation algorithms. by JiaMing Wang (334865)

“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”

Comparison of homomorphic encryption algorithms. by JiaMing Wang (334865)

“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”

Comparison of the optimal objective function values obtained by three different algorithms under different scale test data sets. by Meilin Zhu (688698)

Visualization of mean absolute SHAP values for conditional algorithm for each class. by Sadia Nazim (21440115)