Thematic clouds for lectures. by Ignacio García-Espona (21395335)

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

Point cloud fusion instance effect. by Hongliang Zou (20707270)

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Thematic cloud for posters [2013-23]. by Ignacio García-Espona (21395335)

TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

Table of values for <i>p.</i> by Long Di (9977453)

CNN Model Architecture. by Mudhafar Jalil Jassim Ghrabat (22177655)

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Flowchart of Proposed SMO_CNN. by Mudhafar Jalil Jassim Ghrabat (22177655)

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CNN Model Layers Summary. by Mudhafar Jalil Jassim Ghrabat (22177655)

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<i>r</i>² values for <i>α</i> relationships. by James Cushway (19942288)

The multiple criteria qualitative value-based pricing framework “MARIE” for new clinical status by Akina Takami (16407200)

TITAN increaser macroinvertebrate heatmap Heatmap of tolerant (i.e., <i>z</i>+) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of number... by Brent J. Bellinger (21156150)

Lymphocytes decreased in mouse pneumonia model. by Qi Xu (134661)

Decreased <i>Notch3</i> asymmetry in <i>Nodal</i> mutants. by Tobias Holm Bønnelykke (20968460)

The values calculated for the inhibitor dissociation constant, as detailed in Eqs 10 and 11 and approximated values for the binding rate constants of the inhibitors. by J. Roadnight Sheehan (20141887)

Performance Results of Proposed SMO_CNN Model. by Mudhafar Jalil Jassim Ghrabat (22177655)

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Observed values, synthetic control estimates, causal effects, with confidence intervals, by country and moral foundation. by Daniel Hart (440152)

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<i>JRC</i> values of concrete joint specimens of each group. by Zhezhe Zhang (19704587)

Numeric values used to generate all the graphs presented in the figures. by Wenjia Yu (9422059)

CNN framework. by Sajid Mehmood (6689843)

“…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. …”