Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models

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One of the primary causes of non-uniform snowfall deposition on the ground in mountainous regions is the preferential deposition of snow, which results from the interaction of near-surface winds with topography and snow particles. However, producing high-r ...

As large, data-driven artificial intelligence models become ubiquitous, guaranteeing high data quality is imperative for constructing models. Crowdsourcing, community sensing, and data filtering have long been the standard approaches to guaranteeing or imp ...

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Dataset corresponding to the following manuscript: Slagter, A., Setyadji, J.A., Vogt, E.L. et al. Nanoindentation Hardness and Modulus of Al2O3–SiO2–CaO and MnO–SiO2–FeO Inclusions in Iron. Metall Mater Trans A (2024). https://doi.org/10.1007/s11661-024-0 ...

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Along with the successful deployment of deep neural networks in several application domains, the need to unravel the black-box nature of these networks has seen a significant increase recently. Several methods have been introduced to provide insight into t ...

Object detection plays a critical role in various computer vision applications, encompassing domains like autonomous vehicles, object tracking, and scene understanding. These applica- tions rely on detectors that generate bounding boxes around known object ...

In the Large Hadron Collider, the beam losses are continuously measured for machine protection. By design, most of the particle losses occur in the collimation system, where the particles with high oscilla-tion amplitudes or large momentum error are scrape ...

Exploiting the recent advancements in artificial intelligence, showcased by ChatGPT and DALL-E, in real-world applications necessitates vast, domain-specific, and publicly accessible datasets. Unfortunately, the scarcity of such datasets poses a significan ...

Data redundancy has been one of the most important problems in data-intensive applications such as data mining and machine learning. Removing data redundancy brings many benefits in efficient data updating, effective data storage, and error-free query proc ...

This dataset supports the publication 'Elastocapillary menisci mediate interaction of neighboring structures at the surface of a compliant solid' by Lebo Molefe and John M. Kolinski, Physical Review E, (2023). The data are surface profiles of textured surf ...

Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models

Chattez avec Graph Search

Snowfall deposition in mountainous terrain: a statistical downscaling scheme from high-resolution model data on simulated topographies

Extensions of Peer Prediction Incentive Mechanisms

A semantic model-based systems engineering approach for assessing the operational performance of metal forming process

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Designing for Intimate Wellbeing: Aidee, a Qualitative Approach To Urine Home Monitoring

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Hybrid Simulator for Capturing Dynamics of Synthetic Populations

Data set for control of Ge island coalescence for the formation of nanowires on silicon

Blue Brain Nexus: An open, secure, scalable system for knowledge graph management and data-driven science

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Improving Object Detection under Domain Shifts

Data-driven modeling of beam loss in the LHC

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Validating functional redundancy with mixed generative adversarial networks

Dataset for "Elastocapillary menisci mediate interaction of neighboring structures at the surface of a compliant solid"