Segmentation results of DUKE dataset. by Fan Yang (1413)

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Evaluation of the effectiveness of the pruning ratio (r%). by Fan Yang (1413)

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Dice scores for each tissue type in the HCMS dataset, as well as the average Dice score and average IoU for each tissue type. by Fan Yang (1413)

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Schematic of the spatial attention gate [17]. by Fan Yang (1413)

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The hotmap of adaptive weight. by Fan Yang (1413)

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Segmentation results of HCMS dataset. by Fan Yang (1413)

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Schematic of the model pruning. by Fan Yang (1413)

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Subphenotype model flowchart. by Vitaly Lorman (16814000)

“…In this exploratory analysis, we identified a cohort of pediatric (age <21) patients with evidence of Long COVID and no pre-existing complex chronic conditions using electronic health record data from 38 institutions and used an unsupervised machine learning-based approach to identify subphenotypes. …”

Characteristics of Study Sample. by Vitaly Lorman (16814000)

“…In this exploratory analysis, we identified a cohort of pediatric (age <21) patients with evidence of Long COVID and no pre-existing complex chronic conditions using electronic health record data from 38 institutions and used an unsupervised machine learning-based approach to identify subphenotypes. …”

The dark-to-light transition sessions "calendar" showing data availability (“1”) for different dates and boxes. by Piotr Popik (292215)

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The light-to-dark transition sessions "calendar" showing data availability (“1”) for different dates and boxes. by Piotr Popik (292215)

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Average Heart Rate across pre-interview, interview and post-interview phases for High and Low Clarity and Authority groups: Heart Rate (HR) increases from pre-interview to intervie... by David Vagni (8060432)

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<b> </b> Rate of brain weight to body weight in different experimental groups. AlCl3 treatment caused a significant decrease in brain-to-body weight with respect to the control gro... by Atefeh Sadeghi (21253051)

The selection of indicators based on their correlation with ground surface data. by Abdolhossein Boali (19996390)

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The HIL simulation data flowchart. by Honglei Pang (22693724)

“…Next, vehicle stability is analyzed using vehicle dynamics models to optimize reinforcement learning control variables. This involves designing a continuous state space and action space that incorporate vehicle states and road surface parameters. …”

Terrestrial Condition Assessment (TCA) Grassland Productivity by U.S. Forest Service (17476914)

Data Sheet 1_A machine learning model for predicting the risk of diabetic nephropathy in individuals with type 2 diabetes mellitus.docx by Tingting Li (10553)

“…</p>Research design and methods<p>We conducted a retrospective collection of clinical data from 10,057 patients diagnosed with T2DM at Shijiazhuang Second Hospital. …”

RMSE versus learning rate. by Zhe Hu (787283)

Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

Experimental Setup and live ECG recording during an on-air primetime TV interview: On the left side, the science communicator was interviewed by Marco Dedola, director of the “Scie... by David Vagni (8060432)

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