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Early predicting cooling loads for energy-efficient design in office buildings by machine learning

Energy and buildings, 2019-01, Vol.182, p.264-273

Ngo, Ngoc-Tri

2019

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Preparation of powdered oil particles by spray drying of cellulose nanocrystals stabilized Pickering hempseed oil emulsions

Colloids and surfaces. A, Physicochemical and engineering aspects, 2020-08, Vol.598, p.124823, Article 124823

2020

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Continuous-time Bayesian calibration of energy models using BIM and energy data

Energy and buildings, 2019-07, Vol.194, p.177-190

2019

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Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

Applied energy, 2016-09, Vol.177, p.751-770

2016

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Aggregate Morphology and Aqueous Dispersibility of Spray-Dried Powders of Cellulose Nanocrystals

Industrial & engineering chemistry research, 2019-10, Vol.58 (43), p.19926-19936

2019

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Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability

Journal of cleaner production, 2020-07, Vol.260, p.121082, Article 121082

2020

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Enhancing building energy efficiency by adaptive façade: A computational optimization approach

Applied energy, 2020-05, Vol.265, p.114797, Article 114797

2020

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Renewable energy from biomass surplus resource: potential of power generation from rice straw in Vietnam

Scientific reports, 2021-01, Vol.11 (1), p.792-10, Article 792

2021

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Cleaning carbohydrate impurities from lignin using Pseudomonas fluorescens

Green chemistry : an international journal and green chemistry resource : GC, 2019, Vol.21 (7), p.1648-1659

2019

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The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate

Engineering applications of artificial intelligence, 2017-10, Vol.65, p.471-483

2017

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Modified firefly algorithm for multidimensional optimization in structural design problems

Structural and multidisciplinary optimization, 2017-06, Vol.55 (6), p.2013-2028

2017

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RNA Specificity and Autoregulation of DDX17, a Modulator of MicroRNA Biogenesis

Cell reports (Cambridge), 2019-12, Vol.29 (12), p.4024-4035.e5

2019

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Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings

Scientific reports, 2022-01, Vol.12 (1), p.1065-1065, Article 1065

2022

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FraC: A new conforming mesh method for discrete fracture networks

Journal of computational physics, 2019-01, Vol.376, p.713-732

2019

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Smart grid data analytics framework for increasing energy savings in residential buildings

Automation in construction, 2016-12, Vol.72, p.247-257

2016

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Regenerated cellulose in additive manufacturing

Cellulose (London), 2024-02, Vol.31 (3), p.1773-1785

2024

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Heme enables proper positioning of Drosha and DGCR8 on primary microRNAs

Nature communications, 2017-11, Vol.8 (1), p.1737-10, Article 1737

2017

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Ozone oxidized lignin-based polyurethane with improved properties

European polymer journal, 2019-08, Vol.117, p.114-122

2019

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Effects of additives on the particle morphology and aqueous dispersibility of foam-spray dried cellulose nanocrystal suspensions

Cellulose (London), 2019-11, Vol.26 (16), p.8611-8623

2019

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Hybrid machine learning for predicting strength of sustainable concrete

Soft computing (Berlin, Germany), 2020-10, Vol.24 (19), p.14965-14980

2020

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The prevalence of self-reported anxiety, depression, and associated factors among Hanoi Medical University’s students during the first wave of COVID-19 pandemic

PloS one, 2022-08, Vol.17 (8), p.e0269740-e0269740

2022

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Lignin Profiling: A Guide for Selecting Appropriate Lignins as Precursors in Biomaterials Development

ACS sustainable chemistry & engineering, 2016-10, Vol.4 (10), p.5090-5105

2016

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Integration of support vector regression and grey wolf optimization for estimating the ultimate bearing capacity in concrete-filled steel tube columns

Neural computing & applications, 2021-07, Vol.33 (14), p.8525-8542

2021

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Engineering strength of fiber-reinforced soil estimated by swarm intelligence optimized regression system

Neural computing & applications, 2018-10, Vol.30 (7), p.2129-2144

2018

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Early predicting cooling loads for energy-efficient design in office buildings by machine learning

Preparation of powdered oil particles by spray drying of cellulose nanocrystals stabilized Pickering hempseed oil emulsions

Continuous-time Bayesian calibration of energy models using BIM and energy data

Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

Aggregate Morphology and Aqueous Dispersibility of Spray-Dried Powders of Cellulose Nanocrystals

Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability

Enhancing building energy efficiency by adaptive façade: A computational optimization approach

Renewable energy from biomass surplus resource: potential of power generation from rice straw in Vietnam

Cleaning carbohydrate impurities from lignin using Pseudomonas fluorescens

The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate

Modified firefly algorithm for multidimensional optimization in structural design problems

RNA Specificity and Autoregulation of DDX17, a Modulator of MicroRNA Biogenesis

Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings

FraC: A new conforming mesh method for discrete fracture networks

Smart grid data analytics framework for increasing energy savings in residential buildings

Regenerated cellulose in additive manufacturing

Heme enables proper positioning of Drosha and DGCR8 on primary microRNAs

Ozone oxidized lignin-based polyurethane with improved properties

Effects of additives on the particle morphology and aqueous dispersibility of foam-spray dried cellulose nanocrystal suspensions

A Clinical and Epidemiological Investigation of the First Reported Human Infection With the Zoonotic Parasite Trypanosoma evansi in Southeast Asia

Hybrid machine learning for predicting strength of sustainable concrete

The prevalence of self-reported anxiety, depression, and associated factors among Hanoi Medical University’s students during the first wave of COVID-19 pandemic

Lignin Profiling: A Guide for Selecting Appropriate Lignins as Precursors in Biomaterials Development

Integration of support vector regression and grey wolf optimization for estimating the ultimate bearing capacity in concrete-filled steel tube columns

Engineering strength of fiber-reinforced soil estimated by swarm intelligence optimized regression system

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