A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

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The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

“…First, physico-chemical inputs as bulk density (BD), initial water content (W_i), saturated water content (W_s), mean weight diameter (MWD), and geometric mean diameter (GMD) of aggregates, pH, electrical conductivity (EC), and calcium carbonate equivalent (CCE) were measured. Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”

The schematic view of the fruit fly optimization algorithm (FOA). by Mohsen Hesami (6917390)

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Flowchart of step() function. by Raed Alharthi (18340157)

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Reward function related parameters. by Honglei Pang (22693724)

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Recursive attention function and loss function change. by Wang Linfeng (17102068)

Flowchart of the particle swarm optimization algorithm. by Jian Ma (170138)

Flowchart of the particle swarm optimization algorithm. by Jian Ma (170138)

Disparities in loneliness of user’s preferences on algorithm matching. by Linsha Liu (20378293)

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Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. by Raul Castañeda (13932971)

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

Flow chart of the simulated annealing algorithm [37]. by Jiahao Chen (194408)

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

Disparities in self-presentation of user’s preferences on algorithm matching. by Linsha Liu (20378293)

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a) FO Function, b) FI function. by Huang Jiexian (17060975)

“…The SRL32 primitive (Reconfigurable Look up Tables—RLUTs) and DPR (Dynamic Partial Reconfiguration) are employed to reconfigure single round MISTY1 / KASUMI algorithms on the run-time. The RLUT based architecture attains dynamic logic functionality without extra hardware resources by internally modifying the LUT contents. …”

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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