Principal component analysis of the total and sampled points Zernike vectors for four binding regions. by Greta Grassmann (12418506)

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Comparison between the best sampling and the random selection of points for patches with different roughness. by Greta Grassmann (12418506)

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Sampled points fractions for varying parameters. by Greta Grassmann (12418506)

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Local roughness of the patches. by Greta Grassmann (12418506)

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Visualization of the 3D surfaces reconstruction. by Greta Grassmann (12418506)

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Best sampling for each range of selected points (<i>n</i>_<i>S</i>). by Greta Grassmann (12418506)

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Selection of the absolute best sampling parameters. by Greta Grassmann (12418506)

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BOFdat Step 3: Identifying species-specific metabolic end goals. by Jean-Christophe Lachance (6619307)

“…<p>(A) After Step 3, the entire weight of the cell is accounted for by BOFdat. …”

Model construction and validation (A) Construction of the model based on multiple machine learning algorithms. by Chengting Wu (21485612)

User options and main steps of the generative algorithm. by Diana C. de Oliveira (9220729)

Example of task reassignment resulting from application response time requirement validation. by Zhiqun Lin (1429501)

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Basic framework design flowchart. by Zhiqun Lin (1429501)

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Theoretical energy consumption on a simulated platform. by Zhiqun Lin (1429501)

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Schematic diagram of common CPS architecture. by Zhiqun Lin (1429501)

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Example of task assignment resulting from application response time requirement verification. by Zhiqun Lin (1429501)

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Schematic diagram of CPS. by Zhiqun Lin (1429501)

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Flowchart of EAS framework design. by Zhiqun Lin (1429501)

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Preservation analysis of co-expressed modules of control networks were tested in the stress condition based on the median rank (A) and Zsummary (B) algorithms. by Bahman Panahi (7323578)

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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

Automatic cropping algorithm. by Thomas W Georgi (12427189)