Results 31 to 40 of about 2,291,111 (185)
Self-supervised optimization of random material microstructures in the small-data regime
npj Computational Materials, 2022 While the forward and backward modeling of the process-structure-property chain has received a lot of attention from the materials’ community, fewer efforts have taken into consideration uncertainties.
Maximilian Rixner +1 more
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Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks
IEEE Access, 2023 Physics-informed neural networks (PINNs) have emerged as a promising deep learning method, capable of solving forward and inverse problems governed by differential equations.
Franz M. Rohrhofer +3 more
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Management ScienceWe study mergers between firms operating in data-connected markets: the data generated as a byproduct of the activity in market A can be used by firms operating in market B. The effects of such a merger depend on whether data trade among independent firms is possible and whether data use benefits consumers or leads to more surplus extraction.
Alexandre de Cornière, Greg Taylor
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Data-driven part-of-speech tagging of Kiswahili [PDF]
, 2006 C
De Pauw, G +2 more
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Complexity, 2018 In this paper, an adaptive finite-time fault-tolerant control scheme is proposed for the attitude stabilization of rigid spacecrafts. A first-order command filter is presented at the second step of the backstepping design to approximate the derivative of
Zhongtian Chen +3 more
doaj +1 more source
Detecting the overfilled status of domestic and commercial bins using computer vision
Intelligent Systems with Applications, 2023 As the amount of waste being produced globally is increasing, there is a need for more efficient waste management solutions to accommodate this expansion. The first step in waste management is the collection of bins or containers.
Cathaoir Agnew +8 more
doaj +1 more source
Data-driven detection of multi-messenger transients
, 2020 The primary challenge in the study of explosive astrophysical transients is their detection and characterisation using multiple messengers. For this purpose, we have developed a new data-driven discovery framework, based on deep learning.
Sadeh, Iftach
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Crisis Analytics: Big Data Driven Crisis Response [PDF]
, 2016 Disasters have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process and analyze big data), our ability to respond to disasters is at an inflection point.
Ali, Anwaar +5 more
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Complexity, 2019 This paper proposes an adaptive fixed-time control scheme for twin-rotor systems subject to the inertia uncertainties and external disturbances. First of all, a fixed-time sliding mode surface is constructed and the corresponding controller is developed ...
Linwu Shen +3 more
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Data-driven gamification design [PDF]
Proceedings of the 21st International Academic Mindtrek Conference, 2017 Gamification has been attracted much interest, not only in the HCI community, in the last few years. However, there is still a lack of insights and theory on the relationships between game design elements, motivation, domain context and user behavior. In this workshop we want to discover the potentials of data-driven gamification design optimization, e.
Meder, Michael +3 more
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