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

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

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

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

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Schematic diagram of the experimental algorithm. حسب 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. حسب M. Eric Irrgang (4487278)

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

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

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Hierarchical sparse functional principal component analysis for multistage multivariate profile data حسب Kai Wang (21246)

"…The proposed HSMFPCA employs the regression-type reformulation of the PCA and the reparameterization of the entries of eigenvectors, and enjoys an efficient optimization algorithm in high-dimensional settings. …"

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

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

Algorithm pseudocode. حسب 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. …"

Parselmouth for bioacoustics: automated acoustic analysis in Python حسب 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. …"

Network propagation improves the correlation between mRNA and protein levels of ageing tissues (brain and liver) and PCa samples. حسب Konstantina Charmpi (9901053)

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

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

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

Faster Exact Exchange for Solids via occ-RI-K: Application to Combinatorially Optimized Range-Separated Hybrid Functionals for Simple Solids with Pseudopotentials Near the Basis Se... حسب Joonho Lee (1351974)

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Mean RMSE and R² for the training and test phases of RBF by different training algorithms for temperature and humidity prediction. حسب Caixia Yan (6647072)

Mean RMSE and R² for the training and test phases of MLP by different training algorithms for temperature and humidity prediction. حسب Caixia Yan (6647072)