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

Our algorithms process large data sets within a minute. by Manu Aggarwal (15990691)

Algorithm comparison experiment on the RSOD dataset. by Pingping Yan (462509)

Subjects:

LF and SP optimum values using the PSOGSAHO algorithm. by Nada Ahmed Ezz-Eldien (17396553)

Subjects: “…gravitational search algorithm…”

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

Subjects: “…assess microvascular function…”

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

Subjects:

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

Subjects:

Classification algorithm implemented in SPARTA. by Baptiste Ruiz (20285217)

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

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

Subjects:

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

Function graph and algorithm iterative graph. by WanRu Zhao (18980374)

Subjects:

Comparative analysis of algorithms. by Xumin Zhao (18261643)

Subjects:

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

Illustration of methods based on Green’s function first-passage algorithms. by Jean Marc Tregan (15195173)

Procedure of the DCT-based EIT algorithm. by Rongqing Chen (249906)

Subjects:

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. …”

Relearning under noisy feedback signal using recursive-least-squares algorithm and local learning algorithm [47]. by Barbara Feulner (10104552)

“…<p>(A-B) Relearning performance, measured as mean squared error (MSE), as a function of the amplitude of the noise in the feedback signal using recursive-least-squares (RLS) algorithm (A) and an alternative implementation with a local learning algorithm (Eprop) (B). …”

Identification of hub genes from the PPI network by bottleneck algorithm using the cytoHubba Cytoscape plugin. by Cihat Erdogan (12529243)