Parameters required in DEM simulation. by Lintao Chen (4634617)

“…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …”

BP neural network topology structure. by Lintao Chen (4634617)

“…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …”

Raw materials obtained from BFs. by Lintao Chen (4634617)

“…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …”

Schematic diagram of the JKR bonding model. by Lintao Chen (4634617)

“…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …”

Particle size distribution of arrow BF. by Lintao Chen (4634617)

“…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …”

Particle size distribution of palm BF. by Lintao Chen (4634617)

“…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …”

Illustration of the generated experimental stimuli. by Yen-Ju Chen (354876)

Schematic diagram of chromosome coding. by Meilin Zhu (688698)

Communication-Efficient Distributed Estimation and Inference for Cox’s Model by Pierre Bayle (21567081)

“…In addition, we provide valid and powerful distributed hypothesis tests for any coordinate element based on a decorrelated score test. We allow time-dependent covariates as well as censored survival times. …”

Data_Sheet_1_Sex differences in brain MRI using deep learning toward fairer healthcare outcomes.PDF by Mahsa Dibaji (20177271)

“…Our code and saliency maps are available at https://github.com/mahsadibaji/sex-differences-brain-dl.…”

An overview of the organization of the study program. by Marialuisa Gandolfi (8639238)

Subjects:

Overview of the development of the biomarkers in the motor, exteroceptive, interoceptive, and cerebral domains. by Marialuisa Gandolfi (8639238)

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The schedule of enrolment, interventions, and assessments. by Marialuisa Gandolfi (8639238)

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Implementation of TIPC, a computational method utilizing hexagonal tessellation and a classifier that evaluates multiple spatial parameters against a tumor region-specific null mod... by Mai Chan Lau (3135303)

The structure of the NANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

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The structural mutation of neuroevolution. by Wenbing Shi (5806160)

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The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

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Evaluation indexes of different methods on the test set. by Wenbing Shi (5806160)

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The speciation of ANEAT model evolution. by Wenbing Shi (5806160)

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The analysis of feature importance. by Wenbing Shi (5806160)

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