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RISC-V hardware attack traces on gem5 O3 CPU performance and instruction coun...
Dataset containing monitoring of various hardware performance counters (HPCs) and executed instructions associated with the proof-of-concept of 24 side-channel attacks... -
Tracking the lithiation state of LixSi from machine-learned XPS binding energies
<p>X-ray Photoelectron Spectroscopy (XPS) is a powerful technique to probe chemical states and interfacial processes in battery materials, but a quantitative... -
Replication Data for: Optimal information injection and transfer mechanisms f...
This repository contains raw and post-processed replication data for the publication "Optimal information injection and transfer mechanisms for active matter reservoir... -
An electromyography database for determining optimal electrode placement for ...
We present a dataset with electromyography and inertial measurement data that contains common hand movements (relax, wave in, fist, wave out, and fingers spread), finger... -
Replication Data for: A Pruning Method for Multi-Layer Perceptron Optimisatio...
This repository contains the implementation and experimental code for neural network pruning techniques published in the IET Electronics Letter paper. The project focuses on... -
Imbalanced dataset for benchmarking
The different algorithms of the "imbalanced-learn" toolbox are evaluated on a set of common dataset, which are more or less balanced. These benchmark have been proposed in Ding,... -
Replication Data for: Automatic Tuning based on Hardware Performance Counters...
This dataset contains Hardware Performance Counters (HwPCs) measurements collected from parallel code regions executing on heterogeneous High Performance Computing platforms.... -
RISC-V Hardware attack traces using runtime executed instructions dataset
Dataset containing a count of instructions executed by the proof-of-concept programs presented in the IEEE S&P 2023 paper "A Security RISC: Microarchitectural Attacks on... -
RISC-V Hardware attack traces on gem5 O3 CPU performance and instruction coun...
Dataset containing monitoring of various hardware performance counters (HPCs) and executed instructions associated with the proof-of-concept of 16 side-channel attacks... -
Replication data for: Multi-objective application placement in fog computing ...
This dataset comprises a collection of synthetic application‐placement instance sets for heterogeneous cloud–edge/fog infrastructures, designed for the evaluation of single‐ and... -
TPCOMP: Temporal Point Clouds of a wOrkpiece in the Machining Process
Temporal point clouds sampled from a workpiece in progress using 16 different machining tools. The datasets were created using a machining simulation in the Unit Industrial... -
Replication Data for: Hardware Attack detectoR via Performance counters analY...
A dataset containing the monitoring of several hardware counters (HPC) associated with 7 cache side-channel attacks (Spectre V1, V2, V4; Meltdown, ZombieLoad, Fallout, and... -
Person Specific Realistic Virtual Speaker Code, demos and color version
Visual C++ code for a demo of a person specific virtual speaker with gray scale and color versions. -
Replication Data for: Fisher information for smart sampling in time-domain sp...
No data, just the Matlab programs to generate the data, and the algorithm to optimize and evaluate the sampling scheme -
Code for automated detection of archaeological mounds using machine-learning ...
JavaScript code to be implemented in Google Earth Engine(c) for automated detection of archaeological mounds in Cholistan (Pakistan) using machine-learning classification of... -
RISC-V hardware attack traces on on-chip hardware performance counters (HARPY...
Dataset containing the monitoring of various hardware performance counters (HPCs) associated with the proof of concept for 16 side-channel attacks (access-retired, evict-reload,... -
Results of the automated extraction of individual potsherd fragments in the s...
These folders store the results of the automated extraction of individual potsherd fragments in the soil surface provided by two different approaches. They both used the same... -
Algorithm for the visualization of subtle topographic change of variable size...
JavaScript code to be implemented in Google Earth Engine(c). The multi-scale relief model (MSRM) is a new algorithm for the visual interpretation of landforms using DSMs. The... -
Hybrid MSRM-Based Deep Learning and Multitemporal Sentinel 2-Based Machine Le...
JavaScript code to be implemented in Google Earth Engine(c) for Hybrid MSRM-Based Deep Learning and Multitemporal Sentinel 2-Based Machine Learning Algorithm. Algorithm for... -
Automated machine learning-based potsherd detection using high-resolution dro...
JavaScript code to be implemented in Google Earth Engine(c) for automated machine learning-based potsherd detection using high-resolution drone imagery. This research presents...
