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Moderated Online Data-Collection for Developmental Research: Methods and Replications. [PDF]
Front Psychol, 2021 Online data collection methods are expanding the ease and access of developmental research for researchers and participants alike. While its popularity among developmental scientists has soared during the COVID-19 pandemic, its potential goes beyond just
Chuey A +16 more
europepmc +2 more sources
Online data-enabled predictive control [PDF]
Automatica, 2022 We develop an online data-enabled predictive (ODeePC) control method for optimal control of unknown systems, building on the recently proposed DeePC [1]. Our proposed ODeePC method leverages a primal-dual algorithm with real-time measurement feedback to iteratively compute the corresponding real-time optimal control policy as system conditions change ...
Baros, Stefanos +3 more
openaire +3 more sources
Learning Time-Varying Graphs From Online Data [PDF]
IEEE Open Journal of Signal Processing, 2022 This work proposes an algorithmic framework to learn time-varying graphs from online data. The generality offered by the framework renders it model-independent, i.e., it can be theoretically analyzed in its abstract formulation and then instantiated ...
Alberto Natali +3 more
doaj +2 more sources
Characteristic Analysis and Health Risk Assessment of PM2.5 and VOCs in Tianjin Based on High-Resolution Online Data [PDF]
ToxicsThis study leveraged 2019 online data of particulate matter (PM2.5) and volatile organic compounds (VOCs) in Tianjin to analyze atmospheric pollution characteristics.
Yanqi Huangfu +5 more
doaj +2 more sources
Regulating Online Data Privacy
SCRIPTed: A Journal of Law, Technology & Society, 2004 With existing data protection laws proving inadequate in the fight to protect online data privacy and with the offline law of privacy in a state of change and uncertainty, the search for an alternative solution to the important problem of online data ...
Paul Reid
doaj +4 more sources
Massive online data annotation, crowdsourcing to generate high quality sleep spindle annotations from EEG data. [PDF]
Sci Data, 2020 Spindle event detection is a key component in analyzing human sleep. However, detection of these oscillatory patterns by experts is time consuming and costly.
Lacourse K +3 more
europepmc +2 more sources
A Novel Online Data-Driven Algorithm for Detecting UAV Navigation Sensor Faults. [PDF]
Sensors (Basel), 2017 The use of Unmanned Aerial Vehicles (UAVs) has increased significantly in recent years. On-board integrated navigation sensors are a key component of UAVs’ flight control systems and are essential for flight safety.
Sun R, Cheng Q, Wang G, Ochieng WY.
europepmc +2 more sources
Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient [PDF]
International Conference on Learning Representations, 2022 We consider a hybrid reinforcement learning setting (Hybrid RL), in which an agent has access to an offline dataset and the ability to collect experience via real-world online interaction.
Yuda Song +5 more
semanticscholar +1 more source
To Store or Not? Online Data Selection for Federated Learning with Limited Storage [PDF]
The Web Conference, 2022 Machine learning models have been deployed in mobile networks to deal with massive data from different layers to enable automated network management and intelligence on devices.
Chen Gong +5 more
semanticscholar +1 more source
Umanistica Digitale, 2022 This book review describes the attempt at a course book out of about two decades of research and teaching activities made by Johanna Drucker, one of the pioneering scholars and advocates in digital humanities.
Brunella Longo
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