Flowchart of system algorithm. by Syed Zahurul Islam (9635163)

Smooth function of sample size. by Muhammad Atif (2575789)

Parameter sets of the chosen algorithms. by WanRu Zhao (18980374)

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The flow chart of IERWHO algorithm. by WanRu Zhao (18980374)

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The flow chart of WHO algorithm. by WanRu Zhao (18980374)

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Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

Algorithm comparison experiment on the NWPU VHR-10 dataset. by Pingping Yan (462509)

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Comparison of Algorithms 1, 2 and 3 using Examples 1, 5, and 6. by Sagvan Y. Musa (17797611)

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Study proposed algorithm. by Ainhoa Pérez-Guerrero (21377457)

“…The index of microvascular resistance (IMR) is a specific physiological parameter used to assess microvascular function. Invasive coronary assessment has been shown to be both feasible and safe. …”

Taming Negative Ion Resonances Using Nonlocal Exchange-Correlation Functionals by Abhisek Ghosal (762577)

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Flowchart for Algorithm 1. by Sagvan Y. Musa (17797611)

Flowchart for Algorithm 2. by Sagvan Y. Musa (17797611)

The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

Example of an application of functional safety-critical energy optimization reallocation tasks. by Zhiqun Lin (1429501)

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The convergence curves of all the 10 algorithms. by WanRu Zhao (18980374)

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Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

“…Here, we propose a new physics-based scoring function that includes both enthalpic and entropic contributions upon binding by considering the conformational variability of the flexible side chains within the ensemble of docked poses. …”

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

“…Here, we propose a new physics-based scoring function that includes both enthalpic and entropic contributions upon binding by considering the conformational variability of the flexible side chains within the ensemble of docked poses. …”

GD and soft loss function (Loss_S) parameters are optimized through the hyperparameter tuning process within their search spaces. by Burcu Ozek (16949357)

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

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Accelerated MPC Algorithms and Augmented System Design for Legged Robots by John Ndegwa Nganga (21088838)

“…The approach is powered by a newly introduced algorithm, named the modified Recursive Newton Euler Algorithm~(mRNEA), which is inspired by classical RNEA, and computes the dynamics information pre-multiplied with a fixed vector. …”