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ShareScore release 0.7.1
Dataset results
13 results for “Edge Computing”
AutoML for Video Analytics with Edge Computing - Dataset
<p>Latency and confidence measurements obtained from an edge-assisted object recognition system.</p> <p>The records are obtained by tuning the image encoding rate and Neural Network input layer size and measuring the latency on completing each system operation, i.e. encoding the image, transmiting it wirelessly, decoding and rotating at the server, and performing object recognition with YOLO on the server's GPU. Moreover, we document the achievable frame rate as a result of the total latency, as well as the object recognition confidence and cumulative confidence for all identified objects of each image.</p>
Mobile Edge Computing Bibliographic Results from Google Scholar
<p>This dataset contains all the results for the term "Mobile Edge Computing" on Google Scholar until June 2018. The data was acquired using Publish or Perish. The data has been cleaned such that the wrong and invalid results have been removed, duplicates have been removed. Titles are accurate and fine but authors and publishers info. etc. is still unclean. For textual analysis based on paper titles, this dataset is fine. For any other factor, such as institutional or journal or authorship analysis, this isn't a good choice. </p>
Edge Computing Bibliographic Results from Google Scholar
<p>This dataset contains all the results for the term "Edge Computing" on Google Scholar until June 2018. The data was acquired using Publish or Perish. The data has been cleaned such that the wrong and invalid results have been removed, duplicates have been removed. Titles are accurate and fine but authors and publishers info. etc. is still unclean. For textual analysis based on paper titles, this dataset is fine. For any other factor, such as institutional or journal or authorship analysis, this isn't a good choice. </p>
Datasets on approved and ongoing standards for Cloud, Edge and IoT computing in the continuum and analysis and assessment of relevance
<p>Two datasets:</p> <ol> <li><span>the database of standards relevant to the Cloud-Edge-IoT continuum and to the ACES-EDGE Research and Innovation Action funded under the grant agreement No. 101093126 call HORIZON-CL4-2022-DATA-01-02.</span></li> <li><span>the Excel workbook with the analysis of the assessment of the standards in relation to the needs of the ACES-EDGE implementation.</span></li> </ol> <p><span>Both datasets will be used for a more deep assessment of the standardisation requirements of the ongoing technolgical developments.</span></p>
JCSP: Joint Caching and Service Placement for Edge Computing Systems
<p>The archives include the research data associated with the paper <strong><em>JCSP: Joint Caching and Service Placement for Edge Computing Systems</em></strong>. The paper is accepted in IEEE IWQoS 2022.</p> <p>The research data includes the validation dataset for the generalized LQN model that corresponds to section V of the paper. The validation model contains two layers. In the upper layer, the underlying processor adopts the processor sharing strategy. While in the lower layer, the capacity of the cache-task is set as 1 with a total number of 3 items. All the items obey discrete uniform distribution and take the random replacement strategy. </p> <p> </p>
A flexible all-digital compute-in-memory AI chip for edge-computing
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Raw Experimental Data of the Master's Thesis: Improving Serverless Edge Computing for Network Bound Workloads
<p>Raw Experimental Data of the Master's Thesis: Improving Serverless Edge Computing for Network Bound Workloads</p> <p>Please see the README for information on parsing and data structure.<br> Some of the data might need additional explanations. In case of confusion don't hesitate to contact me under jacob.palecek@outlook.com</p>
Computational data for "Measurement of Coherent Vibrational Dynamics with X-ray Transient Absorption Spectroscopy Simultaneously at the Carbon K- and Chlorine L$_{2,3}$- Edges"
<p>Contains:<br><br>1. Code for and results from, time-dependent Schroedinger equation simulations for the molecular normal modes under strong electric fields inducing impulsive stimulated Raman processes.</p> <p>2. Molecular orbitals obtained from ROKS calculations for the C 1s and Cl 2p excited states (with spin-free one-electron X2C). </p>
Data Table - Digital Scholarship, PhD project "Bridging Data Science and Intellectual History: Computing the Nodes and Edges in the Old University of Louvain (1425-1797)"
<p>How were academic networks configured in the premodern world, and how did they change? This doctoral project seeks to offer a data-driven answer by computing networks at and around the Old University of Louvain (1425-1797), a crucial hub for the transfer of knowledge in late medieval and early modern Europe. Drawing upon datasets under construction from the teams of the PIs at KU Leuven and UCLouvain, this project sets out to plot and visualize networks of students, scholars and their ‘books’ over almost four centuries, thus integrating data from demographic, prosopographical and book historical datasets. This will lead to a better understanding of how academic communities evolved in the past, and it will help to assess how their organization and structure promoted or hindered the creation and transfer of knowledge in premodern Europe. Hence, the doctoral research project offers an innovative test case to develop novel understandings of networks (e.g.. new tested ways to define nodes and edges) in datasets on scholars and ‘literati’, and it will be able to compare these new results to interpretations of human capital indices in the past. As such, the project creates a pioneering pilot for integrating data science into the field of intellectual and early modern history. This enhanced collaboration between KU Leuven and UCLouvain on a theme related to their common past is timely in view of 600 years Leuven/Louvain in 2025.</p>
Dataset for: Trust Trackers for Computation Offloading in Edge-Based IoT Networks
<p>The dataset used to generate graphs for: Matthew Bradbury, Arshad Jhumka and Tim Watson.<br> Trust Trackers for Computation Offloading in Edge-Based IoT Networks. In IEEE INFOCOM, 1–10. IEEE, 10–13 May 2021.</p> <p>Also includes instructions for experiment setup.</p> <p>Scripts from https://github.com/MBradbury/iot-trust-task-alloc are required to analyse and graph these results.</p>
Edge Computing Platform for Spine Health Risk Management Based on IoT Technology
ClinicalTrials.gov study NCT06092138. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Novel Self-charging, Medical-Grade Smart Insoles With AI/ML Edge Computing to Monitor Biometrics.
ClinicalTrials.gov study NCT07273422. IPD Sharing: NO. Countries: 1. Publications: 0.
Revolutionising Insect Biodiversity Monitoring with Cutting-Edge Sensors, Deep Learning, and Computer Vision
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.