Results 21 to 30 of about 5,127,553 (152)
Efficient recognition of dynamic user emotions based on deep neural networks
Frontiers in Neurorobotics, 2022 The key issue at this stage is how to mine the large amount of valuable user sentiment information from the massive amount of web text and create a suitable dynamic user text sentiment analysis technique.
Qi Zheng
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Сluster analysis of long-term crop yield data in crop rotation [PDF]
BIO Web of ConferencesToday, cluster analysis is one of the most effective tools for processing large amounts of information and is used wherever computing technology is used, since data and the results of their analysis play an increasingly important role in modern ...
Shitov A.G. +4 more
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Efficiency Of STMIK Hang Tuah Pekanbaru Stationery Inventory Office Using Monte Carlo Method
Journal of Applied Engineering and Technological Science, 2020 Inventory management in Office Stationery needs (ATK) is instrumental in supporting administrative activities. Not terinvetaris well, resulting in the use of goods is not optimal and increase spending on this ATK.
Rian Ordila
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A Hybrid Forecasting Model Based on CNN and Informer for Short-Term Wind Power
Frontiers in Energy Research, 2022 Wind power prediction reduces the uncertainty of an entire energy system, which is very important for balancing energy supply and demand. To improve the prediction accuracy, an average wind power prediction method based on a convolutional neural network ...
Hai-Kun Wang +3 more
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World citation and collaboration networks: uncovering the role of geography in science [PDF]
, 2012 Modern information and communication technologies, especially the Internet, have diminished the role of spatial distances and territorial boundaries on the access and transmissibility of information.
A Agrawal +35 more
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Scientific Reports, 2021 We described the significance of systematic monitoring nationwide antimicrobial stewardship programs (ASPs) in primary care. All the prescriptions given by family physicians were recorded in Prescription Information System established by the Turkish ...
Mehmet Gönen +6 more
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On Entropy of Some Fractal Structures
Fractal and Fractional, 2023 Shannon entropy, also known as information entropy or entropy, measures the uncertainty or randomness of probability distribution. Entropy is measured in bits, quantifying the average amount of information required to identify an event from the ...
Haleemah Ghazwani +3 more
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Characterization of PET image using global and local entropy
Brazilian Journal of Radiation Sciences, 2015 In the clinical practice PET imaging provides semi-quantitative information about metabolic activities in human body, using the Standardized Uptake Value (SUV).
Igor Fagner Vieira
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Towards Quantifying Non-Local Information Transfer: Finite-Bit Non-Locality
, 1999 The advent of Bell's inequalities provoked the possibility that entangled quantum phenomena is non-local in nature. Since teleportation only requires a finite amount of classical information, i.e.
Aravind +6 more
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Efficient measurements, purification, and bounds on the mutual information [PDF]
, 2003 When a measurement is made on a quantum system in which classical information is encoded, the measurement reduces the observers average Shannon entropy for the encoding ensemble. This reduction, being the {\em mutual information}, is always non-negative.
A.C. Doherty +12 more
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