Computational complexity comparison with state-of-art-algorithms. by Sandeep Yerrathi (17775761)

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

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

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

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

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Feature selection process. by Balraj Preet Kaur (20370832)

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

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

The relaxed gradient based iterative algorithm for solving the generalized coupled complex conjugate and transpose Sylvester matrix equations by Yanping Long (10171727)

“…(Journal of the Franklin Institute, 2018), we adopt relaxation technique and introduce relaxation factors into the gradient based iterative (GI) algorithm, and the relaxed based iterative (RGI) algorithm is established to solve the generalized coupled complex conjugate and transpose Sylvester matrix equations. …”

Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)

Experiment 4: Evaluating modularity-based clustering methods on tree-of-cliques networks. by Yasamin Tabatabaee (18095491)

Experiment 4: Evaluating CPM-based clustering methods on ring-of-cliques networks. by Yasamin Tabatabaee (18095491)

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

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General procedural flow of clustering algorithm. by Sandeep Yerrathi (17775761)

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Experiment 4: Accuracy of modularity-based consensus clustering methods on ring-of-cliques networks of varying sizes. by Yasamin Tabatabaee (18095491)

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

Simulation parameters set analogously for all of the algorithms. by Sandeep Yerrathi (17775761)

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Experiment 3: Comparison of FastEnsemble(Leiden-CPM) and Leiden-CPM on synthetic networks based on clustered real-world networks. by Yasamin Tabatabaee (18095491)

Algorithm of the PbGA search for the optimal PbF. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”