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

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Fig 3 - 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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Genetic algorithm RfaH designs exhibit greater sequence similarity to NusG-like foldswitching proteins than non-foldswitching proteins. by Lu Hong (399882)

Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

“…Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. On the basis of stable egg carrying, a carrying motion mathematical model is established, and the genetic algorithm (GA) is chosen to optimize the structural parameters. …”

Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

gmxapi usage examples. by M. Eric Irrgang (4487278)

Fuzzy membership function for the longitudinal velocity with s. by Yasir Mehmood (744452)

Absorption Intensities of Organic Molecules from Electronic Structure Calculations versus Experiments: the Effect of Solvation, Method, Basis Set, and Transition Moment Gauge by Jorge C. Garcia-Alvarez (11934119)

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Mean and standard deviation of RBF classifier performance across different training algorithms with cross-validation. by Mohammad Hossein Hadizadeh Isfahani (22634016)

Mean and standard deviation of MLP classifier performance across different training algorithms with cross-validation. by Mohammad Hossein Hadizadeh Isfahani (22634016)

Algorithm pseudocode. by Cheng-jie Chen (22272090)

“…On the basis of the Retinex model, multi-level decomposition of brightness is carried out, and different filtering parameters are set to obtain multiple illumination and reflection images with different scale information; Using exponential function and Sigmoid function to process reflection images and illumination images separately, reducing external interference on images of different scales, and solving the difficulty of enhancing images with uneven illumination, high noise, low illumination, and loss of details. …”

Using ESM-1v as an objective function biases sampling towards RfaHβ-like sequences with lower native sequence recovery. by Lu Hong (399882)

Parselmouth for bioacoustics: automated acoustic analysis in Python by Yannick Jadoul (11498813)

“…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …”

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)