Online estimation of the coefficients <i>g</i>_<i>i</i>(<i>k</i>) of the non-stationary moving average process based on the colored noise data from recording <i>2–81731-A... by Martin Dodek (20623832)

Subject characteristics. by Dominique Vincent-Genod (20552594)

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Research data. by Dominique Vincent-Genod (20552594)

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Loss function curves for the training. by Xuhui Liu (546025)

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip by Rui Zhang (13940)

“…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. According to the results obtained from the testing set, the sensitivity was higher than 92.02%, the specificity was higher than 95.18%, the accuracy was higher than 94.34%, and the AUC was higher than 0.972.…”

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx by Rui Zhang (13940)

“…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. According to the results obtained from the testing set, the sensitivity was higher than 92.02%, the specificity was higher than 95.18%, the accuracy was higher than 94.34%, and the AUC was higher than 0.972.…”

<b>Optimization of the whole life capacity configuration of the hydrogen production system based on improved whale optimization algorithm</b> by Fan Jiang (21178691)

“…The improvements notably boost the algorithm's convergence speed and optimization accuracy, as validated by five benchmark function types. …”

Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network by Rajesh Kumar Thangavel (20591164)

“…In this research, Utilizing Phase-aware Composite Deep Neural Network Optimized with Coati Optimized Algorithm for Brain Tumor Identification Based on Magnetic resonance imaging (PACDNN-COA-BTI-MRI) is proposed. …”

EITO_P with flexible trip time. by Yunhu Huang (21402795)

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Energy consumption in the PPO process. by Yunhu Huang (21402795)

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Speed limits. by Yunhu Huang (21402795)

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Running time in the PPO process. by Yunhu Huang (21402795)

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EITO_E speed distance profile. by Yunhu Huang (21402795)

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Parameters of DKZ32. by Yunhu Huang (21402795)

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EITO_<i>P</i> with a variable trip time. by Yunhu Huang (21402795)

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Block diagram of lattice-based cryptography. by Sultan H. Almotiri (14029251)

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Box plots of different algorithms on CEC2017 test function. by Tengfei Ma (597633)

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Flowchart of DAPF-RRT algorithm. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Performance comparison of different algorithms. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Functions in nhppp. by Thomas A. Trikalinos (5785877)

“…We developed it to facilitate the sampling of event times in discrete event and statistical simulations. The package’s functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function; the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme. …”