64 datasets found

This project is a pytorch implementation of a Faster R-CNN for fruit detection suitable with multi-modal images (up to 5 channels). It's based on implementation of:...

A first-principles approach for calculating ion separation in solution through 2D membranes is proposed. Ionic energy profiles across the membrane are obtained first, where...

Metabolic diversity in genotypes of the germplasm core collection of Pearl millet from Embrapa, Brazil

Three datasets containing data from particles of shredded WEEE, including ferrous metals, non-ferrous metals, plastics and printed circuit boards in two particle size ranges of...

A 2D design space with two parameters were created using different sampling methods: grid, Latin hypercube sampling (LHS), random, and antithetic version of the last two. The...

Abstract Intraplaque haemorrhage (IPH) represents a critical feature of plaque vulnerability as it is robustly associated with adverse cardiovascular events, including stroke...

The results of EICP (Enzyme Induced Calcite Precipitation) experiments. This dataset includes pressure measurements and 3D reconstructed X-ray images during the conducted...

This dataset contains the codes to reproduce the five different segmentation results of the paper Lee et al (2021). The original dataset before applying these segmentation codes...

This dataset contains informations about buildings in Beirut in shapefile format used for estimation of seismic damage and debris at the urban scale. The buildings are in...

We propose a novel approach to predict saturation vapor pressures using group contribution-assisted graph convolutional neural networks (GC2NN), which use both, molecular...

This dataset features the training models, emotion classifications and emotion patterns before and after events, related to the paper: F. Kunneman, M. van Mulken and A. Van den...

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...

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...

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,...

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...

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...

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...

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...

Visual C++ code for a demo of a person specific virtual speaker with gray scale and color versions.

No data, just the Matlab programs to generate the data, and the algorithm to optimize and evaluate the sampling scheme