Results 31 to 40 of about 3,947,093 (294)
The Journal of Engineering, 2019 This paper proposes a PV and wind output power generation forecasting agent for a multi-agent-based energy management system (EMS) in a smart microgrid.
A Sujil, Rajesh Kumar, Ramesh C Bansal
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Atypical development of causal inference in autism inferred through a neurocomputational model
Frontiers in Computational Neuroscience, 2023 In everyday life, the brain processes a multitude of stimuli from the surrounding environment, requiring the integration of information from different sensory modalities to form a coherent perception.
Melissa Monti +2 more
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IoT Framework for Interoperability in the oneM2M Architecture
Advances in Electrical and Computer Engineering, 2020 The IoT is expected that many devices and sensors can be interconnected and interact over the Internet. Conventional IoT solutions rely on vertically developed machine-to-machine solutions that yield limited interoperability. To ensure interoperability
KANG, S., CHUNG, K.
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Novel ISAR autofocusing method based on Bayesian inference
The Journal of Engineering, 2019 To achieve well-focused ISAR imaging with low signal-to-noise ratio (SNR), this study constructs a statistical model and derives an effective method for image autofocusing based on Bayesian inference.
Xueru Bai, Ge Wang
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Deep Learning for Causal Inference
, 2023 This primer systematizes the emerging literature on causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction on building and optimizing custom deep learning models and shows how to adapt ...
Tim Sainburg +5 more
core +1 more source
Radar target classification using improved Dempster–Shafer theory
The Journal of Engineering, 2019 This study considers the problem of coarse classification of targets using multifunction radar. Several methods are available for classification such as decision trees, Dempster–Shafer, Bayes, neural networks, etc. A different approach to assign the mass
Parth Mehta +3 more
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PLoS Computational Biology, 2022 Memory generalisations may be underpinned by either encoding- or retrieval-based generalisation mechanisms and different training schedules may bias some learners to favour one of these mechanisms over the other.
Sam C Berens, Chris M Bird
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The Journal of Engineering, 2019 The new generation Geometrical Product Specifications require consideration of the effects of measurement uncertainty in the product inspection. This study estimated the measurement results and the uncertainty by integrating the statistical production ...
Yinbao Cheng +5 more
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Information measures for inferring quantum mechanics [PDF]
Journal of Physics A: Mathematical and General, 2005 Starting from the Hamilton-Jacobi equation describing a classical ensemble, one may infer a quantum dynamics using the principle of maximum uncertainty. That procedure requires an appropriate measure of uncertainty: Such a measure is constructed here from physically motivated constraints. It leads to a unique single parameter extension of the classical
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
wiley +1 more source