Suchergebnisse - Doan

Effect of Supply Chain Finance on Supply Chain Trade von Ha Van Doan, Thang Ngoc Doan

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Formal moduli problems with cohomological constraints von Doan, An Khuong

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Local structure of the Teichmüller and the Riemann moduli stacks von Doan, An Khuong

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Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving $O(1/k)$ Finite-Sample Complexity von Doan, Thinh T.

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Why Not OER? von Doan, Tomalee

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The Effect of Fiscal Decentralization on Tax Compliance Time: Evidence From the World Bank Doing Business Project von Nguyen Doan

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Ortho-integral surfaces von Doan, Nhat Minh

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Genericity of Lyapunov spectrum of bounded random compact operators on infinite-dimensional Hilbert spaces von Doan, Thai Son

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Optimizing conditions for treatment and extraction of collagen from fan-bellied leatherjacket skin Monacanthus chinensis (Osbeck, 1765) von Doan, Thi Thiet

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The living Coccolithophorids (Haptophytes) in coastal waters of Khanhhoa province, Central Vietnam von Doan, Nhu Hai

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School Library Media Centers in Networks. von Doan, Janice K.

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Radial variation in cell morphology of Melia azedarach planted in northern Vietnam von Doan Van Duong

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A Study of α ‐Hyperholomorphic Functions in the Framework of Clifford Analysis von Doan Cong Dinh

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Global Value Chain Participation and Firm Exit During COVID‐19: Evidence from Emerging Countries von Ngoc Thang Doan

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Counting embedded curves in symplectic 6-manifolds von Doan, Aleksander, Walpuski, Thomas

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Auditory Representation Effective for Estimating Vocal Tract Information von Irino, Toshio, Doan, Shintaro

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Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning von Zeng, Sihan, Doan, Thinh T.

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Bayesian meta learning for trustworthy uncertainty quantification von Yuan, Zhenyuan, Doan, Thinh T.

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Resilient Two-Time-Scale Local Stochastic Gradient Descent for Byzantine Federated Learning von Dutta, Amit, Doan, Thinh T.

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Accelerated Multi-Time-Scale Stochastic Approximation: Optimal Complexity and Applications in Reinforcement Learning and Multi-Agent Games von Zeng, Sihan, Doan, Thinh T.

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