*.csv
The data are associated with a submitted journal paper.
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The provided dataset is obtained by crawling through various websites to identify all the possible webpages that which can be used to determine to what degree they are exposed to attacks.
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In this work, physical parameter‐based modeling of small signal parameters for a metal‐semiconductor field‐effect transistor (MESFET) has been carried out as continuous functions of drain voltage, gate voltage, frequency, and gate width. For this purpose, a device simulator has been used to generate a big dataset of which the physical device parameters included material type, doping concentration and profile, contact type, gate length, gate width, and work function.
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Description:
This repository contains the datasets used as part of the OC2 lab's work on Student Performance prediction and student engagement prediction in eLearning environments using machine learning methods.
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A criticality analysis dataset of the phenomenon occlusion on a T-intersection. Simulation was done using CARLA.
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This repository includes the data collected from the aocl profile and the Jupyter notebooks with the memory model equations proposed. Application folder contains a set of benchmarks to validate the proposed model.
The model was developed using the Quartus aocl version 18.1 for Stratix10 GX and 19.4 for Stratix10MX
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These datasets contain bulk BTE simulation results for GaAs, InP, GaSb and InAs as a function of electric field at 300 K.
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This dataset is composed of side channel information (e.g., temperatures, voltages, utilization rates) from computing systems executing benign and malicious code. The intent of the dataset is to allow aritificial intelligence tools to be applied to malware detection using side channel information.
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1003 Views
Intrusion Detection System can be build for private cloud using OpenNebula. OpenNebula is a cloud computing platform for managing heterogenous distributed data center infrastructure. The database is generated using a private cloud setup using KVM and OpenNebula. OpenNebula provides API to monitor Virtual Machines (VMs) running on the infrastructure. Total 6 VMs were deployed on the infrastructure. The monitoring data was collected over 63 Hours. Attacks were simulated on few of the VMs for variable time duration.
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