ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 by Berith Atemoztli De la Cruz Sánchez (21758708)

“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. …”

Action potential of sample points in model 1. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Action potential of sample points in model 2. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Action potential of sample points in model 0. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Data Sheet 1_Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model.docx by Pan Zhang (206408)

Overall flow chart of the model. by Bei Huang (485021)

Pareto optimal front result of MOCOA. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Confusion matrix. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Performance validation on the MIT-BIH database. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Performance comparison with other papers. by Hang Zhao (143592)

“…A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …”

Precision Recall data. by Lai Yingdong (22403854)

Partial polishing of experimental data. by Ma Haohao (22177538)

Polishing experimental data (<i>μ<i>m</i></i>). by Ma Haohao (22177538)

Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO₃–BiMeO₃ Ceramics by Jian Liu (33711)

“…After that, multiple machine learning algorithm models were built to train and predict <i>W</i>_rec and η. …”

Iteration curve of the optimization process. by Meijun Shang (22806461)