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)

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). حسب Johannes Weyer (13392175)

Flowchart of the RIR algorithm. حسب Jiamin Hu (8972420)

"…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"

IOU values of four algorithms. حسب Hong Li (20183)

The method for determining the chemical constituents of unknown materials in the algorithm. حسب Dong Hyeok Choi (12562048)

Speed efficiency of the proposed technique in comparison with the baseline deep learning models. حسب Amin Ullah (12015113)

الموضوعات:

Three types of models are compared using the Accuracy metric for multiclassification in an imbalanced CTG test dataset: basic deep learning models, advanced deep learning models, a... حسب Amin Ullah (12015113)

الموضوعات:

Visualization of learned features via t-SNE. حسب Song Wu (36667)

"…Compared to traditional classification methods, the improved spectral clustering algorithm demonstrated better adaptability to data distribution and superior clustering performance. …"

Using the Accuracy metric, three model types—naive deep learning models, advanced deep learning models, and the proposed framework—are compared for the binary classification of nor... حسب Amin Ullah (12015113)

الموضوعات:

Deep reinforcement learning agents trained using a curriculum solve navigation tasks with delayed rewards. حسب William L. Tong (22238845)

Using the Recall, Precision, and F1-score metrics, three model types are compared: naïve deep learning models, advanced deep learning models, and the proposed framework for binary... حسب Amin Ullah (12015113)

الموضوعات:

Using the Recall, Precision, and F1-score metrics, three model types—naive deep learning models, advanced deep learning models, and the proposed framework—are compared for multicla... حسب Amin Ullah (12015113)

الموضوعات:

Using the Recall, Precision, and F1-score metrics, three model types are compared: naïve deep learning models, advanced deep learning models, and the proposed framework for multicl... حسب Amin Ullah (12015113)

الموضوعات:

Using the Recall, Precision, and F1-score metrics, three model types are compared: naïve deep learning models, advanced deep learning models, and the proposed framework for binary... حسب Amin Ullah (12015113)

الموضوعات:

Comparison of algorithm performance aesults. حسب 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. …"

Calculation algorithm implementing the proposed model. حسب Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. حسب Landry Djopkop Kouanang (17131748)

The sensing layer gathers data and sends it to the data layer, while the control layer acts as the infrastructure’s central intelligence, overseeing the whole SDN-IoT network. حسب Amin Ullah (12015113)

الموضوعات: