Sensitivity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Number of features selected for IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Performance of traditional ML algorithms for optimal offloading scheme. by Shehr Bano (20421706)

Subjects:

Performance of different ensemble algorithms for optimal partitioning policy. by Shehr Bano (20421706)

Subjects:

Performance of traditional ML algorithms for optimal partitioning scheme. by Shehr Bano (20421706)

Subjects:

Performance of different ensemble algorithms for optimal offloading policy. by Shehr Bano (20421706)

Subjects:

Overview of the modeling approach using Marxan optimization algorithm. by Boris Salak (18340030)

SVR and MLPR algorithm flow optimized by GridSearchCV. by Jintao Li (448681)

Overall systemic risk in banking networks with different matching algorithms. by Bo Zhu (118038)

The hyperparameters selected for CLPREM, as well as other settings of the model, were determined based on experience and testing. by Xiaorui Wu (8322705)

Proposed Algorithm. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. 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 Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”

Overview of mobile-edge-cloud server-based system. by Shehr Bano (20421706)

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Optimized network structure. by Menaa Nawaz (14304920)

Experiment 2: Evaluating modularity-based consensus clustering pipelines on synthetic networks based on clustered real-world networks. by Yasamin Tabatabaee (18095491)

Tuning parameters of PID based on DA, AOA, POA, and GRO. by H Abdelfattah (17854644)