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

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

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

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

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CNN framework. حسب 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. …"

CNN frameworks. حسب 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. …"

CNN model. حسب Longfei Gao (698900)

Architecture of the proposed shallow CNN. حسب Shruti Atul Mali (21300851)

CNN-LSTM action recognition process. حسب Longfei Gao (698900)

Mask R-CNN training loss graph. حسب Dennis Dennis (20490126)

List of eigenvalues, percentages of variance, and factor loadings for the first two principal components of the PCA. حسب Brienna Eteson (21416834)

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Dominant hand %MVC sEMG PCA plot (PC 1 = 70.27% of variance; and PC 2 = 11.59% of variance) PCA plot summarizing overall dominant hand muscular recruitment during all three phases... حسب Brienna Eteson (21416834)

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Stem plot of PC 1 scores (vertical axis), representing all three phases within participants Hold (red); Aim (yellow); Execute (green). حسب Brienna Eteson (21416834)

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%MVC sEMG PCA plot (PC 1  حسب Brienna Eteson (21416834)

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Descriptive statistics of the mean %MVC values for each stage. حسب Brienna Eteson (21416834)

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Beta frequency band maps of all three phases within the Oldowan flake-cutting task and the control task Maps are configured at 0.1–0.6 حسب Brienna Eteson (21416834)

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Summary of the framework for the computation of the brain transition cost from EEG data. حسب Giacomo Barzon (19832364)

Divergent gene expression in <i>D. sechellia.</i> حسب Daehan Lee (5043377)

Comparisons of separability and variance of evidence distributions when noise and variability are manipulated independently for the 4-layer CNN across the three experiments. حسب Medha Shekhar (19502698)

Data Sheet 2_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.pdf حسب Upinder Kaur (10805317)