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Database performance is one of the main components in supporting the sustainability of a system in this case is Student's Activity Record System (STARS). One way to improve the performance of the database is to use the concept of a partition table. Thus, in this study, the design and evaluation of the partition table will be carried out which will then be applied to the Satya Wacana Christian University (SWCU) STARS database.
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—Indelible challenges facing to control the transistor action and realization of emerging two-dimensional van der Waals multi-layer (2Dml) field-effect transistors (FETs), to post-silicon technology era. For scalability, a cost-effective large area ultrafine thin films interface and band alignment of multi-layer channel material with compatible gate dielectric are essential.
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Exchange rate data of 49 countries from January 1, 2017 to August 1, 2022
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*** The paper published on Multimedia Tools and Applications (Springer) - 2024 ***
*** Title: "SPRITZ-PS: Vlaidation of Synthetic Face Images Using A Large Dataset of Printed Docuemnts"***
*** Authors: Ehsan Nowroozi, Yoosef Habibi, and Mauro Conti ***
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CONTENTS OF THIS FILE
* Data Analysis
* Experimental Design
# Data Analysis
This folder consists of data obtained from the experiments and the materials we use for analysis. Here we provide the following documents:
01-The folder "Class diagrams"
This folder contains class diagrams realized by participants in three experiments.
02-Code.R
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Ground Penetrating Radar (GPR) has a wide range of applications such as detection of buried mines, pipes and wires. GPR has been used as a near-surface remote sensing technique, and its working principle is based on electromagnetic (EM) wave theory. Here proposed data set is meant for data driven surrogate modelling based Buried Object Characterization. The considered problem of estimating geophysical parameters of a buried object is 2D. The training and testing scenarios include B-scan images (2D data), which contain 16 pairs of A-scan (concatenated forms of A-scans).
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The supplementary material S2 includes experimental data of uniaxial tension tests of polylactic acid material (PLA) and thermoplastic polyurethane elastomer (TPU).
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Design files for proposed prototype
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Figures of Data
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Accurately obtaining the position of active transmitters within an indoor wireless network has promising applications in future wireless networks. However, due to the complex propagation phenomena experienced by signals indoors, classical model-based localization techniques present poor accuracy, and machine learning (ML) based positioning has a promising potential to deliver high accuracy localization services indoors.
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