CSV
<p>The proliferation of efficient edge computing has enabled a paradigm shift of how we monitor and interpret urban air quality. Coupled with the dense spatiotemporal resolution realized from large-scale wireless sensor networks, we can achieve highly accurate realtime local inference of airborne pollutants. In this paper, we introduce a novel Deep Neural Network architecture targeted at latent time-series regression tasks from continuous, exogenous sensor measurements, based on the Transformer encoder scheme and designed for deployment on low-cost power-efficient edge processors.
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963 Views
Simulation results from EVI-OnDemand estimating need for infrastructure to support electric ride-hailing vehicles in the US.
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142 Views
Skeleton datasets for Normal, Antalgic, Stiff legged, Lurching, Steppage, and Trendelenburg gaits.
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974 Views
Sequential skeleton and average foot pressure data for normal and five pathological gaits (i.e., antalgic, lurching, steppage, stiff-legged, and Trendelenburg) were simultaneously collected. The skeleton data were collected by using Azure Kinect (Microsoft Corp. Redmond, WA, USA). The average foot pressure data were collected by GW1100 (GHIWell, Korea). 12 healthy subjects participated in data collection. They simulated the pathological gaits under strict supervision. A total of 1,440 data instances (12 people x 6 gait types x 20 walkings) were collected.
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2688 Views
This dataset was created for an Eli Lilly and Company employee information management training program. It was part of a project that explored the potential use of ClinicalTrials.gov (CT.gov) as a tool to evaluate the severity of changes to inclusion and exclusion criteria on clinical trial operations. CT.gov is a public clinical study registry that records summary data about clinical trials. The registry includes a historical record of changes (change history) to inclusion and exclusion criteria and other data that is accessible by users.
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340 Views
This dataset was acquired at the Radboud University Medical Center, Nijmegen, the Netherlands and enriched with landmarks by Fraunhofer MEVIS. It consists of nine datasets of consecutive sections, each containing four slides stained with H&E, CD8, CD45, Ki67, respectively.
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606 Views
Water consumption. Data recorded between 2017.1.1 and 2019.12.31.
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421 Views
It contains the data of four omic profiles (CNV, mRNA, miRNA, and protein) obtained for BRCA, LGG, and LUAD obtained from the TCGA project.
In addition, we provide synthetic data for a mixture of isotropic distributions.
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589 Views
Dataset used in the article "The Reverse Problem of Keystroke Dynamics: Guessing Typed Text with Keystroke Timings". CSV files with dataset results summaries, the evaluated sentences, detailed results, and scores. Results data contains training and evaluation ARFF files for each user, containing features of synthetic and legitimate samples as described in the article. The source data comes from three free text keystroke dynamics datasets used in previous studies, by the authors (LSIA) and two other unrelated groups (KM, and PROSODY, subdivided in GAY, GUN, and REVIEW).
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434 Views
These datasets collect sensorial information about collaborative robot functioning. We recorded information from two different kinds of robots UR3e and UR10e. This dataset is used for data-driving modeling of the power consumption of cobots. The datasets have the following information: recording time, trajectory ID, joints' positions, joints' velocities, motor currents, motor torques, motor voltages, end effector position, force and momentum exerted to the end effector, current and voltage of the robot.
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648 Views