The additional documents are divided in 9 ‘categories’ and in the name of the document the number at the beginning of the name indicates to what category this document belongs. In the documenta
Experiment: -The dataset was captured using the Chipwhisperer CW308, with the target device being STM32F3 with an ARM Cortex-M4 -The target device performed an AES-128
This dataset is used for my PhD about applying machine learning algorithms in the audit practice. Where I focus on comparing different Machine learning algorithms and analyse how they perform.
Datasets related to the evaluation and report of the Urban Vitality (UV) Open science support desk. Data were exported from Qualtrics and saved as STATA (.dta) files and analyzed using STATA version 1
