Search Results - "Do, Bach"

Optimization of Fiber-Reinforced Polymer Patches for Repairing Fatigue Cracks in Steel Plates Using a Genetic Algorithm by Do, Bach, Lenwari, Akhrawat

“…AbstractA practical design optimization of fiber-reinforced polymer (FRP) patches for repairing fatigue cracks in metallic structures is presented. The design…”
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Sequential sampling approach to energy‐based multi‐objective design optimization of steel frames with correlated random parameters by Do, Bach, Ohsaki, Makoto

“…This work presents a novel sequential sampling approach to the multi‐objective reliability‐based design optimization of moment‐resisting steel frames subjected…”
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A random search for discrete robust design optimization of linear-elastic steel frames under interval parametric uncertainty by Do, Bach, Ohsaki, Makoto

“…•Radial basis function (RBF) models serve as approximations of structural responses.•An RBF-based lower-level optimization problem is solved using a DC…”
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Correction to: Gaussian mixture model for robust design optimization of planar steel frames by Do, Bach, Ohsaki, Makoto

“…A Correction to this paper has been published: https://doi.org/10.1007/s00158-020-02789-9…”
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Gaussian mixture model for robust design optimization of planar steel frames by Do, Bach, Ohsaki, Makoto

“…A new method is presented for an application of the Gaussian mixture model (GMM) to a multi-objective robust design optimization (RDO) of planar steel frame…”
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Sequential mixture of Gaussian processes and saddlepoint approximation for reliability-based design optimization of structures by Do, Bach, Ohsaki, Makoto, Yamakawa, Makoto

“…This paper presents an efficient optimization procedure for solving the reliability-based design optimization (RBDO) problem of structures under aleatory…”
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Bayesian optimization for inverse identification of cyclic constitutive law of structural steels from cyclic structural tests by Do, Bach, Ohsaki, Makoto

“…•Bayesian optimization identifies parameters for steels from cyclic structural responses.•Noise-free and noisy experimental measures are considered in…”
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Monitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam) by Pham-Duc, Binh, Frappart, Frederic, Tran-Anh, Quan, Si, Son Tong, Phan, Hien, Quoc, Son Nguyen, Le, Anh Pham, Viet, Bach Do

“…This study estimates monthly variation of surface water volume of Thac Mo hydroelectric reservoir (located in South Vietnam), during the 2016–2021 period…”
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Involvement of Secondary Metabolites in Response to Drought Stress of Rice (Oryza sativa L.) by Quan, Nguyen, Anh, La, Khang, Do, Tuyen, Phung, Toan, Nguyen, Minh, Truong, Minh, Luong, Bach, Do, Ha, Pham, Elzaawely, Abdelnaser, Khanh, Tran, Trung, Khuat, Xuan, Tran

“…In this study, responses of rice under drought stress correlating with changes in chemical compositions were examined. Among 20 studied rice cultivars, Q8 was…”
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Sequential mixture of Gaussian processes and saddlepoint approximation for reliability-based design optimization of structures by Do, Bach, Ohsaki, Makoto, Yamakawa, Makoto

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Ensemble learning of myocardial displacements for myocardial infarction detection in echocardiography by Nguyen, Tuan, Nguyen, Phi, Tran, Dai, Pham, Hung, Nguyen, Quang, Le, Thanh, Van, Hanh, Do, Bach, Tran, Phuong, Le, Vinh, Nguyen, Thuy, Tran, Long, Pham, Hieu

“…BackgroundEarly detection and localization of myocardial infarction (MI) can reduce the severity of cardiac damage through timely treatment interventions. In…”
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Uncovering the heterogeneity of a solar flare mechanism with mixture models by Do, Bach Viet, Chen, Yang, Nguyen, XuanLong, Manchester, Ward

“…The physics of solar flares occurring on the Sun is highly complex and far from fully understood. However, observations show that solar eruptions are…”
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Epsilon-Greedy Thompson Sampling to Bayesian Optimization by Do, Bach, Adebiyi, Taiwo, Zhang, Ruda

“…Bayesian optimization (BO) has become a powerful tool for solving simulation-based engineering optimization problems thanks to its ability to integrate…”
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Bayesian optimization-assisted approximate Bayesian computation and its application to identifying cyclic constitutive law of structural steels by Do, Bach, Ohsaki, Makoto

“…•Bayesian optimization-assisted approximate Bayesian computation to Bayesian inference.•Probabilistic identification of cyclic elastoplastic parameters for…”
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Proximal-exploration multi-objective Bayesian optimization for inverse identification of cyclic constitutive law of structural steels by Do, Bach, Ohsaki, Makoto

“…Despite its importance in seismic response analysis, solving an inverse problem to identify the cyclic elastoplastic parameters for structural steels using…”
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A novel decoupled approach combining invertible cross-entropy method with Gaussian process modeling for reliability-based design and topology optimization by Huynh, Thu Van, Tangaramvong, Sawekchai, Do, Bach, Gao, Wei

“…Design optimization considering the presence of uncertainties in parameters poses an extremely challenging problem. The source of difficulties comes with…”
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Bayesian optimization for robust design of steel frames with joint and individual probabilistic constraints by Do, Bach, Ohsaki, Makoto, Yamakawa, Makoto

“…•Bayesian optimization handles probabilistic constrained robust optimization problems.•Two new acquisition functions guide Bayesian optimization toward better…”
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Sequential most probable point update combining Gaussian process and comprehensive learning PSO for structural reliability-based design optimization by Van Huynh, Thu, Tangaramvong, Sawekchai, Do, Bach, Gao, Wei, Limkatanyu, Suchart

“…•A novel RBDO method decouples the deterministic CLPSO with surrogate-assisted GPR model.•An active learning GPR model determines the probability of failure of…”
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COMPARISON OF AMBULATORY BLOOD PRESSURE MONITORING IN PATIENTS WITH AUTONOMIC DYSFUNCTION VS PATIENTS WITHOUT AUTONOMIC DYSFUNCTION by Bach, Megan

“…Preventive Cardiology Best Practices – clinic operations, team approaches, outcomes research Blood pressure (BP) patterns in patients with autonomic…”
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Automated design of nonreciprocal thermal emitters via Bayesian optimization by Do, Bach, Jafari Ghalekohneh, Sina, Adebiyi, Taiwo, Zhao, Bo, Zhang, Ruda

“…Nonreciprocal thermal emitters that break Kirchhoff’s law of thermal radiation promise exciting applications for thermal and energy applications. The design of…”
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