Algorithm detection steps. حسب José M. Rivera-Arbeláez (12418512)

Algorithm of the brightness scale calibration experiment. حسب Krzysztof Petelczyc (3954203)

"…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …"

Gillespie algorithm simulation parameters. حسب Nicholas H. Vitale (20469289)

"…Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm. …"

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. حسب Yuanchen Zhao (12905580)

الموضوعات:

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

الموضوعات: "…evolutionary genetic algorithm…"

The topology of the NYN. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

The result of Wilcoxon signed-rand test. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

The Simulation and optimization process of pipe diameter selection. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Optional pipe diameter and unit price of NYN. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Optional pipe diameter and unit price of HN. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

The topology of HN. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Information of nodes and pipes of HN. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Evolution of the rescaled hydraulic diameter () and complexity () in both simulations and seal tomograms as a function of simulation timestep and relative age (). حسب Jonathan E Kings (20818367)

Summary of results of naïve Bayes algorithms. حسب Christopher E. Niemczak (8586861)

الموضوعات:

Comparison of deconvolution and optimization algorithms on a batch of data. حسب Ali-Kemal Aydin (10968731)

"…Output is given by the vascular response, measured as the change in speed of red blood cells flowing inside a capillary proximal to the recorded neuronal activation (in yellow, right panel). Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …"

CEC2017 basic functions. حسب Tengfei Ma (597633)

"…During experimental evaluation, the efficiency of OP-ZOA was verified using the CEC2017 test functions, demonstrating superior performance compared to seven recently proposed meta-heuristic algorithms (Bloodsucking Leech Algorithm (BSLO), Parrot Optimization Algorithm (PO), Polar Lights Algorithm (PLO), Red-tailed Hawk Optimization Algorithm (RTH), Bitterling Fish Optimization Algorithm (BFO), Spider Wasp Optimization Algorithm (SWO) and Zebra Optimization Algorithm (ZOA)). …"

Explained variance ration of the PCA algorithm. حسب Abeer Aljohani (18497914)

الموضوعات:

Membership function. حسب Tuan Anh Nguyen (121944)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms حسب Saadiallakh Normatov (20682324)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms حسب Saadiallakh Normatov (20682324)