Articles with "using neural" as a keyword



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Using neural networks for efficient evaluation of high multiplicity scattering amplitudes

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Published in 2020 at "Journal of High Energy Physics"

DOI: 10.1007/jhep06(2020)114

Abstract: Precision theoretical predictions for high multiplicity scattering rely on the evaluation of increasingly complicated scattering amplitudes which come with an extremely high CPU cost. For state-of-the-art processes this can cause technical bottlenecks in the production… read more here.

Keywords: neural networks; multiplicity scattering; scattering amplitudes; high multiplicity ... See more keywords
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A Case for Adaptive Resource Management in Alibaba Datacenter Using Neural Networks

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Published in 2020 at "Journal of Computer Science and Technology"

DOI: 10.1007/s11390-020-9732-x

Abstract: Both resource efficiency and application QoS have been big concerns of datacenter operators for a long time, but remain to be irreconcilable. High resource utilization increases the risk of resource contention between co-located workload, which… read more here.

Keywords: resource management; neural networks; resource; alibaba datacenter ... See more keywords
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Avoidance of vertical displacement events in DIII-D using a neural network growth rate estimator

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Published in 2021 at "Fusion Engineering and Design"

DOI: 10.1016/j.fusengdes.2021.112492

Abstract: Abstract Robust disruption avoidance techniques are critical for the development of reliable fusion reactor devices. A viable reactor will require non-disruptive, long pulse operation where simply shutting down a discharge is undesirable. To achieve such… read more here.

Keywords: neural network; growth rate; using neural;
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Development and Application of an Automatic Cluster Analysis System for EPMA Using Neural Network

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Published in 2018 at "Microscopy and Microanalysis"

DOI: 10.1017/s1431927618010723

Abstract: Machine learning technology using a neural network such as deep learning has made progress in recent years. It's the feature that the neural network is able to get a solution near human's sense. It's possible… read more here.

Keywords: neural networks; analysis; using neural; neural network ... See more keywords
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Faster and More Accurate Geometrical-Optics Optical Force Calculation Using Neural Networks

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Published in 2022 at "ACS Photonics"

DOI: 10.1021/acsphotonics.2c01565

Abstract: Optical forces are often calculated by discretizing the trapping light beam into a set of rays and using geometrical optics to compute the exchange of momentum. However, the number of rays sets a trade-off between… read more here.

Keywords: neural networks; optics; geometrical optics; faster accurate ... See more keywords
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European call price modelling using neural networks in considering volatility as stochastic with comparison to the Heston model

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Published in 2020 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2020.1747463

Abstract: ABSTRACT The aim of this paper is to model the European call price using neural networks (NNs). Many existing works have treated the problem as Hutchinson et al. [(1994). A nonparametric approach to pricing and… read more here.

Keywords: neural networks; using neural; call price; model ... See more keywords
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Forecasting Drought using Neural Network Approaches with Transformed Time Series Data

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Published in 2020 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2020.1867829

Abstract: Drought is one of the important and costliest disaster all over the world. With the accelerated progress of climate change, its frequency of occurrence and negative impacts are rapidly increasing. ... read more here.

Keywords: drought; drought using; using neural; forecasting drought ... See more keywords
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Using Neural Networks for a Universal Framework for Agent-based Models

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Published in 2021 at "Mathematical and Computer Modelling of Dynamical Systems"

DOI: 10.1080/13873954.2021.1889609

Abstract: Traditional agent-based modelling is mostly rule-based. For many systems, this approach is extremely successful, since the rules are well understood. However, for a large class of systems it is dif... read more here.

Keywords: agent; neural networks; using neural; agent based ... See more keywords
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Distinguishing Felsenstein Zone from Farris Zone Using Neural Networks

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Published in 2020 at "Molecular Biology and Evolution"

DOI: 10.1093/molbev/msaa164

Abstract: Abstract Maximum likelihood and maximum parsimony are two key methods for phylogenetic tree reconstruction. Under certain conditions, each of these two methods can perform more or less efficiently, resulting in unresolved or disputed phylogenies. We… read more here.

Keywords: zone using; zone farris; using neural; farris zone ... See more keywords
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Language Recognition using Neural Phone Embeddings and RNNLMs

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Published in 2018 at "IEEE Latin America Transactions"

DOI: 10.1109/tla.2018.8447373

Abstract: New advances in Language Identification (LID) using Recurrent Neural Networks (RNNs) and Neural Embeddings have been proposed recently. While their application has been successfully applied at a word level, results at a phoneme level may… read more here.

Keywords: language recognition; using neural; neural embeddings; phone ... See more keywords
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A Study on Iterative Decoding With LLR Modulator Using Neural Network in SMR System

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Published in 2019 at "IEEE Transactions on Magnetics"

DOI: 10.1109/tmag.2019.2891711

Abstract: This paper focuses on the shingled magnetic recording (SMR) as the recording system for further high-density hard disk drives. Previously, we applied a log-likelihood ratio (LLR) modulator to the low-density parity check coding and iterative… read more here.

Keywords: neural network; llr modulator; modulator; modulator using ... See more keywords