3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. by Rui Zhang (13940)

PSNR (dB) and SSIM of the deblurred images, and the algorithms’ running time (in seconds) on VOC2012 database. by Wei Zhou (24328)

Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation" by Saeed Parsa (13893726)

“…</p> <p><br></p> <p>3. Algorithm</p> <p>Below is the main body of the test data generator program:</p> <p>  </p> <p>the main body of a Python program to generate test data for Python functions.…”

Principal component analysis (PCA) of sub-layer mean intensities. by Maëlle Vilbert (17101954)

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

Accelerating Fock Build via Hybrid Analytical-Numerical Integration by Yong Zhang (5893)

“…A hybrid analytical-numerical integration scheme is introduced to accelerate the Fock build in self-consistent field (SCF) and time-dependent density functional theory (TDDFT) calculations. To evaluate the Coulomb matrix <b>J</b>[<b>D</b>], the density matrix <b>D</b> is first decomposed into two parts, the superposition of atomic density matrices <b>D</b>_⊕^<i>A</i> and the rest <b>D</b>^<i>R</i> = <b>D</b>–<b>D</b>_⊕^<i>A</i>. …”

Accelerating Fock Build via Hybrid Analytical-Numerical Integration by Yong Zhang (5893)

“…A hybrid analytical-numerical integration scheme is introduced to accelerate the Fock build in self-consistent field (SCF) and time-dependent density functional theory (TDDFT) calculations. To evaluate the Coulomb matrix <b>J</b>[<b>D</b>], the density matrix <b>D</b> is first decomposed into two parts, the superposition of atomic density matrices <b>D</b>_⊕^<i>A</i> and the rest <b>D</b>^<i>R</i> = <b>D</b>–<b>D</b>_⊕^<i>A</i>. …”

Different leaf species with the corresponding Mean Square Error (MSE) and RBFNN curve fitting. by Ali Ahmed (2567584)

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Two different leaf images belonging to the same plant species and their corresponding contour feature curves. by Ali Ahmed (2567584)

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Binary leaf image rotated anti-clock wise from the origin degree to 40^<i>o</i>, 80^<i>o</i>, 120^<i>o</i>, and 160^<i>o</i> from left to ri... by Ali Ahmed (2567584)

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The SVM kernel parameters optimization using Bayesian optimization. by Ali Ahmed (2567584)

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Summarization of related literature. by Ali Ahmed (2567584)

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The RBFNN as a classifier. by Ali Ahmed (2567584)

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Classification parameters of the proposed three classifiers. by Ali Ahmed (2567584)

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The SVM kernel parameters optimization using SSA optimization. by Ali Ahmed (2567584)

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Pairs of features from the 36 features defining the leaf and their corresponding leaf classes. by Ali Ahmed (2567584)

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The proposed system accuracies with respect to different selected angles (number of features). by Ali Ahmed (2567584)

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Information of nodes and pipes of NYN. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”