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MDPI/Sensor Paper/template.log

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+This is pdfTeX, Version 3.141592653-2.6-1.40.24 (MiKTeX 22.7.30) (preloaded format=pdflatex 2022.8.13)  30 AUG 2022 09:53
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+Output written on template.pdf (22 pages, 2259576 bytes).
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MDPI/Sensor Paper/template.tex

@@ -98,9 +98,9 @@
 % Affiliations / Addresses (Add [1] after \address if there is only one affiliation.)
 
 \address{
-$^{1}$ \quad School of Electrical and Electronic Engineering, Hanoi university of Science and Technology, Vietnam; [email protected]\\
+$^{1}$ \quad School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam; [email protected]\\
 $^{2}$ \quad Faculty of Information Technology, University of Transport and Communications, Vietnam; [email protected]\\
-$^{3}$ \quad School of Electrical and Electronic Engineering, Hanoi university of Science and Technology, Vietnam; [email protected]}
+$^{3}$ \quad School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam; [email protected]}
 
 % Contact information of the corresponding author
 \corres{Correspondence: [email protected]; Tel.:  +84-9834-443-22 (N.V.D.)}
@@ -389,7 +389,7 @@ \subsubsection{Loss Function}
 \section{Results}
 \subsection{Experimental Setup}
 \subsubsection{Training}
-Before training, the data set is split into two sub set for training (90 percent) and validation (10 percent). Test set, otherwise is provided by the HAM10000 data set, contains 857 images. To analyze the effect of augmented data on the model, during the training the image data is augmented by the following technique:\\
+Before training, the data set is split into two sub set for training (90 percent) and validation (10 percent). Test set, otherwise is provided by the HAM10000 data set, contains 857 images. To analyze the effect of augmented data on the model, before the training the image data is augmented to 53573 images by the following technique:\\
 - Rotation Range: rotate the image in a fixed angle. \\
 - Width and height shift range: Shift the image horizontally and vertically, respectively. \\
 - Zoom Range:  Zoom in or zoom out the image to create new image. \\
@@ -459,19 +459,19 @@ \subsection{Discussion}
 		\hline
 		DenseNet201 & 0.84 & \textbf{0.89}\\
 		\hline
-		ResNet50 & 0.76 & 0.70 \\
+		ResNet50 & 0.76 & 0.70\\
 		\hline
-		ResNet152 & - & 0.57\\
+		ResNet152 & 0.81 & 0.57\\
 		\hline
 		NasNetLarge & - & 0.84\\
 		\hline
 		MobileNetV2 & - & 0.81\\
 		\hline
 		MobileNetV3Small & - & 0.78\\
 		\hline
-		MobileNetV3Large & - & \textbf{0.86}\\
+		MobileNetV3Large & 0.85 & \textbf{0.86}\\
 		\hline
-		NasNetMobile & - & \textbf{0.86}\\
+		NasNetMobile & 0.84 & \textbf{0.86}\\
 		\hline
 	\end{tabular}
 	\caption{Accuracy of all models. ACC stands for accuracy. AD stands for augmented data, this indicate that the model is trained with augmented data. MD stands for Metadata which indicate that the model is trained with Metadata}