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The search for galaxy cluster members with deep learning of panchromatic HST imaging and extensive spectroscopy

Astronomy and astrophysics (Berlin), 2020-11, Vol.643, p.A177

2020

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Molecular dynamics of vegetable oil extraction and degumming: Analysis of micelles and phospholipid bilayers in different solvents

Journal of the American Oil Chemists' Society, 2024-02, Vol.101 (2), p.205-223

2024

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The Tensor-Core Correlator

Astronomy and astrophysics (Berlin), 2021-12, Vol.656, p.A52

Romein, John W.

2021

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Estimating Oil and Protein Content of Sesame Seeds Using Image Processing and Artificial Neural Network

Journal of the American Oil Chemists' Society, 2020-07, Vol.97 (7), p.691-702

2020

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Absolute parameters for AI Phoenicis using WASP photometry

Astronomy and astrophysics (Berlin), 2016-07, Vol.591, p.A124

2016

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Clustering the Orion B giant molecular cloud based on its molecular emission

Astronomy and astrophysics (Berlin), 2018-02, Vol.610, p.A12

2018

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Equatorial spread-F forecasting model with local factors using the long short-term memory network

Earth, planets, and space, 2023-12, Vol.75 (1), p.118-16, Article 118

2023

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Supervised neural networks for helioseismic ring-diagram inversions

Astronomy and astrophysics (Berlin), 2019-02, Vol.622, p.A124

2019

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Estimating extinction using unsupervised machine learning

Astronomy and astrophysics (Berlin), 2017-05, Vol.601, p.A137

2017

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Using machine learning algorithms to measure stellar magnetic fields

Astronomy and astrophysics (Berlin), 2018-11, Vol.619, p.A22

2018

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Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data

Journal of agricultural, biological, and environmental statistics, 2019-06, Vol.24 (2), p.175-203

Wikle, Christopher K.

2019

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Automated reliability assessment for spectroscopic redshift measurements

Astronomy and astrophysics (Berlin), 2018-03, Vol.611, p.A53

2018

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Seismic event and phase detection using deep learning for the 2016 Gyeongju earthquake sequence

Geosciences journal (Seoul, Korea), 2023-06, Vol.27 (3), p.285-295

2023

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Landslide susceptibility mapping at Gongliu county, China using artificial neural network and weight of evidence models

Geosciences Journal, 2016, 20(5), , pp.705-718

2016

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Optoelectronic instrumentation enhancement using data mining feedback for a 3D measurement system

Optical review (Tokyo, Japan), 2016-12, Vol.23 (6), p.891-896

2016

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Understanding the dynamical structure of pulsating stars: The Baade-Wesselink projection factor of the δ Scuti stars AI Velorum and β Cassiopeiae

Astronomy and astrophysics (Berlin), 2013-02, Vol.550, p.1-4

2013

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Modeling the permeability of heterogeneous oil reservoirs using a robust method

Geosciences Journal, 2016, 20(2), , pp.259-271

2016

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Occurrence assessment of earth fissure based on genetic algorithms and artificial neural networks in Su-Xi-Chang land subsidence area, China

Geosciences Journal, 2014, 18(4), , pp.485-493

2014

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Estimating shear wave velocities in oil fields: a neural network approach

Geosciences Journal, 2016, 20(2), , pp.221-228

2016

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Assessment of groundwater corrosivity in Hamedan Province, Iran using an adaptive neuro-fuzzy inference system (ANFIS)

Geosciences Journal, 2011, 15(4), , pp.433-439

2011

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Earthquake hazard assessment in seismogenic systems through Markovian artificial neural network estimation: an application to the Japan area

Earth, planets, and space, 2009-01, Vol.61 (11), p.1223-1232

2009

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Two-stage optimization of lens grinding parameters for multi-quality target combining Taguchi method and neural network software

Optical review (Tokyo, Japan), 2009-05, Vol.16 (3), p.276-282

2009

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Analog vision chip for motion detection of an approaching object against a moving background based on the insect visual system

Optical review (Tokyo, Japan), 2007-05, Vol.14 (3), p.111-119

2007

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A complementary metal-oxide-semiconductor vision chip for edge and motion detection with a function for output offset cancellation

Optical review (Tokyo, Japan), 2005-01, Vol.12 (1), p.15-19

2005

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Capability of a liquid-crystal adaptive optics system based on feedback interferometry for retinal imaging

Optical review, 2005-03, Vol.12 (2), p.115-121

SHIRAI, Tomohiro

2005

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The search for galaxy cluster members with deep learning of panchromatic HST imaging and extensive spectroscopy

Molecular dynamics of vegetable oil extraction and degumming: Analysis of micelles and phospholipid bilayers in different solvents

The Tensor-Core Correlator

Estimating Oil and Protein Content of Sesame Seeds Using Image Processing and Artificial Neural Network

Absolute parameters for AI Phoenicis using WASP photometry

Clustering the Orion B giant molecular cloud based on its molecular emission

Equatorial spread-F forecasting model with local factors using the long short-term memory network

Supervised neural networks for helioseismic ring-diagram inversions

Estimating extinction using unsupervised machine learning

Using machine learning algorithms to measure stellar magnetic fields

Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data

Automated reliability assessment for spectroscopic redshift measurements

Seismic event and phase detection using deep learning for the 2016 Gyeongju earthquake sequence

Landslide susceptibility mapping at Gongliu county, China using artificial neural network and weight of evidence models

Optoelectronic instrumentation enhancement using data mining feedback for a 3D measurement system

Understanding the dynamical structure of pulsating stars: The Baade-Wesselink projection factor of the δ Scuti stars AI Velorum and β Cassiopeiae

Modeling the permeability of heterogeneous oil reservoirs using a robust method

Occurrence assessment of earth fissure based on genetic algorithms and artificial neural networks in Su-Xi-Chang land subsidence area, China

Estimating shear wave velocities in oil fields: a neural network approach

Assessment of groundwater corrosivity in Hamedan Province, Iran using an adaptive neuro-fuzzy inference system (ANFIS)

Earthquake hazard assessment in seismogenic systems through Markovian artificial neural network estimation: an application to the Japan area

Two-stage optimization of lens grinding parameters for multi-quality target combining Taguchi method and neural network software

Analog vision chip for motion detection of an approaching object against a moving background based on the insect visual system

A complementary metal-oxide-semiconductor vision chip for edge and motion detection with a function for output offset cancellation

Capability of a liquid-crystal adaptive optics system based on feedback interferometry for retinal imaging

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