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

"…Therefore, An Algorithm for Heterogeneous Federated Knowledge Graph (HFKG) is proposed to solve this problem by limiting model drift through comparative learning. …"

Convergence curves for all algorithms. حسب Genliang Li (5816264)

الموضوعات:

Parameter Settings for competitive algorithms. حسب Genliang Li (5816264)

الموضوعات:

Proposed Algorithm. حسب Hend Bayoumi (22693738)

"…EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"

The flow chart of the IES program solved by the MSAGOOSE algorithm. حسب Chengcheng Ding (9013862)

Metaheuristic algorithms for solving DNA-related problems. حسب Eslam Hamouda (5172083)

Details of multiple GWO algorithm variants. حسب Genliang Li (5816264)

الموضوعات:

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"

Data embedding by using Neural Quantum Embedding (NQE). حسب Aninda Astuti (21736334)

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Algorithm process. حسب Wei Cui (92129)

The pre-processing of CTG raw signals [26]. حسب Amin Ullah (12015113)

الموضوعات:

Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values with... حسب Aninda Astuti (21736334)

الموضوعات:

Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values with... حسب Aninda Astuti (21736334)

الموضوعات:

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC12. حسب Aninda Astuti (21736334)

الموضوعات:

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC11. حسب Aninda Astuti (21736334)

الموضوعات:

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC10. حسب Aninda Astuti (21736334)

الموضوعات:

Comparison of performance metrics, SVC vs QSVC after using NQE for data embedding. Bold-faced fonts denote that the classifier achieves better performance. حسب Aninda Astuti (21736334)

الموضوعات:

Comparison of NQE combined with SVC, NN, and QCNN classifiers. The table shows the number of test cases, comparison with classical classifiers, and data imbalance issues in this an... حسب Aninda Astuti (21736334)

الموضوعات:

The Search process of the genetic algorithm. حسب Wenguang Li (6528113)

الموضوعات:

Enhancing off-policy optimisation in structured Markov decision processes via Thompson Sampling حسب Sourav Ganguly (293262)

"…<p>Reinforcement Learning (RL) provides a framework for solving sequential decision-making tasks, yet limited and potentially unsafe data hinder its training process. …"