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Global Behavior of Solutions to Generalized Gross-Pitaevskii Equation
Global Behavior of Solutions to Generalized Gross-Pitaevskii Equation
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Global Behavior of Solutions to Generalized Gross-Pitaevskii Equation

Masaki, Satoshi ; Miyazaki, Hayato

Differential equations and dynamical systems, 2024-07, Vol.32 (3), p.743-761 [Periódico revisado por pares]

New Delhi: Springer India

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Revisiting Walking-in-Place by Introducing Step-Height Control, Elastic Input, and Pseudo-Haptic Feedback
Revisiting Walking-in-Place by Introducing Step-Height Control, Elastic Input, and Pseudo-Haptic Feedback
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Revisiting Walking-in-Place by Introducing Step-Height Control, Elastic Input, and Pseudo-Haptic Feedback

Hirao, Yutaro ; Narumi, Takuji ; Argelaguet, Ferran ; Lecuyer, Anatole

IEEE transactions on visualization and computer graphics, 2024-07, Vol.30 (7), p.3210-3223 [Periódico revisado por pares]

United States: IEEE

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3
A Ranking Information Based Network for Facial Beauty Prediction
A Ranking Information Based Network for Facial Beauty Prediction
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A Ranking Information Based Network for Facial Beauty Prediction

LYU, Haochen ; LI, Jianjun ; YE, Yin ; CHANG, Chin-Chen

IEICE Transactions on Information and Systems, 2024/06/01, Vol.E107.D(6), pp.772-780 [Periódico revisado por pares]

The Institute of Electronics, Information and Communication Engineers

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4
Expansion estimators improving the bias and risk of James–Stein’s shrinkage estimator
Expansion estimators improving the bias and risk of James–Stein’s shrinkage estimator
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Expansion estimators improving the bias and risk of James–Stein’s shrinkage estimator

Tsukuma, Hisayuki

Japanese journal of statistics and data science, 2024-06, Vol.7 (1), p.377-393 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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5
Reservoir-Based 1D Convolution: Low-Training-Cost AI
Reservoir-Based 1D Convolution: Low-Training-Cost AI
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Reservoir-Based 1D Convolution: Low-Training-Cost AI

TANAKA, Yuichiro ; TAMUKOH, Hakaru

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2024/06/01, Vol.E107.A(6), pp.941-944 [Periódico revisado por pares]

The Institute of Electronics, Information and Communication Engineers

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6
Joint User Grouping and Resource Allocation for NOMA Enhanced D2D Communications
Joint User Grouping and Resource Allocation for NOMA Enhanced D2D Communications
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Joint User Grouping and Resource Allocation for NOMA Enhanced D2D Communications

XIE, Jin ; XU, Fangmin

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2024/06/01, Vol.E107.A(6), pp.864-872 [Periódico revisado por pares]

The Institute of Electronics, Information and Communication Engineers

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7
A POMDP-Based Approach to Assortment Optimization Problem for Vending Machine
A POMDP-Based Approach to Assortment Optimization Problem for Vending Machine
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A POMDP-Based Approach to Assortment Optimization Problem for Vending Machine

NEMOTO, Gaku ; HIRAISHI, Kunihiko

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2024/06/01, Vol.E107.A(6), pp.909-918 [Periódico revisado por pares]

The Institute of Electronics, Information and Communication Engineers

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8
Stein’s identities and the related topics: an instructive explanation on shrinkage, characterization, normal approximation and goodness-of-fit
Stein’s identities and the related topics: an instructive explanation on shrinkage, characterization, normal approximation and goodness-of-fit
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Stein’s identities and the related topics: an instructive explanation on shrinkage, characterization, normal approximation and goodness-of-fit

Kubokawa, Tatsuya

Japanese journal of statistics and data science, 2024-06, Vol.7 (1), p.267-311 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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9
Matrix quadratic risk of orthogonally invariant estimators for a normal mean matrix
Matrix quadratic risk of orthogonally invariant estimators for a normal mean matrix
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Matrix quadratic risk of orthogonally invariant estimators for a normal mean matrix

Matsuda, Takeru

Japanese journal of statistics and data science, 2024-06, Vol.7 (1), p.313-328 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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10
MuSRGM: A Genetic Algorithm-Based Dynamic Combinatorial Deep Learning Model for Software Reliability Engineering
MuSRGM: A Genetic Algorithm-Based Dynamic Combinatorial Deep Learning Model for Software Reliability Engineering
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MuSRGM: A Genetic Algorithm-Based Dynamic Combinatorial Deep Learning Model for Software Reliability Engineering

FU, Ning ; RYU, Duksan ; KIM, Suntae

IEICE Transactions on Information and Systems, 2024/06/01, Vol.E107.D(6), pp.761-771 [Periódico revisado por pares]

The Institute of Electronics, Information and Communication Engineers

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