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Found 66776 dataset(s) matching "informants".
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The objective of this shape retrieval contest is to retrieve 3D models those are relevant to a query range scan. This task corresponds to a real life scenario where the query is a 3D range scan of...
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This repository contains code for analyzing industrial wireless sounder measurements and the generation of wireless scenarios. DISCLAIMER: Certain commercial equipment, instruments, or materials...
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This dataset contains a comparison of packet loss counts vs handovers using four different methods: baseline, heuristic, distance, and machine learning, as well as the data used to train a machine...
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The dataset consists of six collections of SEM images, three trained U-net AI models, and CSV files with image quality metrics and trained AI model accuracy metrics. Each SEM image collection...
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- zip file contains a folder with image quality metrics and a folder with ai model accuracy
- zip file with six subfolders containing sem image collections
- zip contains three folders with tensorflow ai models
- zip file contains mask images and the initial intensity image with max contrast and min noise
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This document identifies the NIST Cybersecurity Framework Subcategories that map closely to the potential mitigations within Advanced Metering Infrastructure (AMI), Distributed Energy Resources...
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Content posted by authorized Department representative on a Social Media Website including but not limited to general status updates and tips to the public.
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The objective of this SHREC'12 track is to evaluate the performance of different sketch-based 3D model retrieval algorithms using both hand-drawn and standard line drawings sketch queries on a...
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The DOD Counterdrug Technology Program sponsored the Facial Recognition Technology (FERET) program and development of the FERET database. The National Institute of Standards and Technology (NIST)...
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The IACC.3 dataset is approximately 4600 Internet Archive videos (144 GB, 600 h) with Creative Commons licenses in MPEG-4/H.264 format with duration ranging from 6.5 min to 9.5 min and a mean...
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Non-rigid 3D objects are commonly seen in our surroundings. However, previous efforts have been mainly devoted to the retrieval of rigid 3D models, and thus comparing non-rigid 3D shapes is still...
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The NIST scan framework is a framework that greatly simplifies the process of writing and maintaining scans of experimental parameters using the ARTIQ control system and language. The framework...
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This dataset contains the raw data for the paper: Garey, W.; Henderson, T.; Sun, Y.; Rouil, R. and Gamboa, S. (2021). Modeling MCPTT and User Behavior in ns-3. In Proceedings of the 11th...
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Cell-scaffold contact measurements are derived from pairs of co-registered volumetric fluorescent confocal laser scanning microscopy (CLSM) images (z-stacks) of stained cells and spun coat, large...
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This web-based validation system has been designed to perform visual validation of automated multi-class segmentation of concrete samples from scanning electron microscopy (SEM) images. The goal...
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This dataset contains the DOIs of the corpus, used for the natural language processing analysis described in the article of the same title. The DOIs all point to articles published in the...
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Project documentation and demonstrations processing OSCAL (the Open Security Controls Assessment Language).
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ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using...
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We have applied 3D shape-based retrieval to various disciplines such as computer vision, CAD/CAM, computer graphics, molecular biology and 3D anthropometry. We have organized two workshops on 3D...
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This dataset contains short videos (ranging from 3 seconds to 10 seconds) from TRECVID VTT task from 2016 to 2024. There are 73,893 videos with captions. Each video has between 2 and 5 captions,...
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The DVU dataset consists of 10 creative common movies for training and 4 creative common movies for testing used in the Deep Video Understanding grand challenges in 2020 and 2021. Total duration...
