Search Results - "Nguyen, Hoang"
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A new knowledge-based measure for intuitionistic fuzzy sets and its application in multiple attribute group decision making
Published in Expert systems with applications (01-12-2015)“…Since introduced by K. Atanassov as a generalization of fuzzy sets, intuitionistic fuzzy sets (IFSs) have been investigated by many researchers and applied in…”
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Surface plasmon resonance: a versatile technique for biosensor applications
Published in Sensors (05-05-2015)“…Surface plasmon resonance (SPR) is a label-free detection method which has emerged during the last two decades as a suitable and reliable platform in clinical…”
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A new interval-valued knowledge measure for interval-valued intuitionistic fuzzy sets and application in decision making
Published in Expert systems with applications (01-09-2016)“…•A new knowledge measure for interval-valued intuitionistic fuzzy sets.•A generalization of the knowledge measure for intuitionistic fuzzy sets.•Unlike to…”
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A novel similarity/dissimilarity measure for intuitionistic fuzzy sets and its application in pattern recognition
Published in Expert systems with applications (01-03-2016)“…Among the most interesting measures in intuitionistic fuzzy sets (IFSs) theory, the similarity measure is an essential tool to compare and determine degree of…”
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A Generalized p-Norm Knowledge-Based Score Function for an Interval-Valued Intuitionistic Fuzzy Set in Decision Making
Published in IEEE transactions on fuzzy systems (01-03-2020)“…This paper addresses the commonly used methods for solving multiple attribute group decision-making problems under an interval-valued intuitionistic fuzzy…”
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Dichotomous engagement of HDAC3 activity governs inflammatory responses
Published in Nature (London) (13-08-2020)“…The histone deacetylases (HDACs) are a superfamily of chromatin-modifying enzymes that silence transcription through the modification of histones. Among them,…”
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Modulated Expression of Specific tRNAs Drives Gene Expression and Cancer Progression
Published in Cell (02-06-2016)“…Transfer RNAs (tRNAs) are primarily viewed as static contributors to gene expression. By developing a high-throughput tRNA profiling method, we find that…”
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A novel artificial intelligent model for predicting water treatment efficiency of various biochar systems based on artificial neural network and queuing search algorithm
Published in Chemosphere (Oxford) (01-01-2022)“…This study aims at providing a robust artificial intelligent model for predicting the efficiency of heavy metal removal from aqueous solutions of biochar…”
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Support vector regression approach with different kernel functions for predicting blast-induced ground vibration: a case study in an open-pit coal mine of Vietnam
Published in SN applied sciences (01-04-2019)“…Blast-induced ground vibration (PPV) is one of the effects of the hazard in open-pit mines. It can make vibration of the structure, instability of slope and…”
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A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators
Published in Applied soft computing (01-04-2020)“…Developing an accurate and reliable multi-step ahead prediction model is a key problem in many Prognostics and Health Management (PHM) applications…”
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Waterproof Alkyl Phosphate Coated Fluoride Phosphors for Optoelectronic Materials
Published in Angewandte Chemie International Edition (07-09-2015)“…A facile approach for coating red fluoride phosphors with a moisture‐resistant alkyl phosphate layer with a thickness of 50–100 nm is reported. K2SiF6:Mn4+…”
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Ensemble empirical mode decomposition and long short-term memory neural network for multi-step predictions of time series signals in nuclear power plants
Published in Applied energy (01-02-2021)“…•A method for multi-step ahead prediction of time series signals is proposed.•Ensemble Empirical Mode Decomposition is combined with Long Short-Term Memory.•A…”
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Mapping the deforestation footprint of nations reveals growing threat to tropical forests
Published in Nature ecology & evolution (01-06-2021)“…Deforestation, a significant threat to biodiversity, is accelerated by global demand for commodities. Although prior literature has linked deforestation to…”
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Efficient machine learning models for prediction of concrete strengths
Published in Construction & building materials (10-01-2021)“…•Hyperparameters are optimally selected by utilising random search methodology based on highly efficient implementation.•Handling missing data by using the…”
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Role of Capping Agent in Wet Synthesis of Nanoparticles
Published in The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory (04-05-2017)“…Aqueous-based synthesis is one of the most popular methods to prepare nanoparticles. In these procedures, surfactants are needed to regulate the growth and…”
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Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
Published in Engineering applications of artificial intelligence (01-01-2021)“…The advance rate (AR) of a tunnel boring machine (TBM) in hard rock condition is a key parameter for the successful accomplishment of a tunneling project, and…”
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Local Minima and Factor Rotations in Exploratory Factor Analysis
Published in Psychological methods (01-10-2023)“…In exploratory factor analysis, factor rotation algorithms can converge to local solutions (i.e., local minima) when they are initiated from different starting…”
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Recent advances in preparation methods and thermophysical properties of oil-based nanofluids: A state-of-the-art review
Published in Powder technology (15-06-2019)“…Thermal oils due to their high ability in cooling and lubricating have many applications in high-tech industries such as automotive industry. Dispersing…”
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Core-shell Au@ZIF-67-based pollutant monitoring of thiram and carbendazim pesticides
Published in Environmental pollution (1987) (15-01-2023)“…A sensitive and stable substrate plays a vital role in the Raman spectroscopic techniques as an analytical method for detecting pesticides effectively from the…”
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Hypothalamic REV-ERB nuclear receptors control diurnal food intake and leptin sensitivity in diet-induced obese mice
Published in The Journal of clinical investigation (04-01-2021)“…Obesity occurs when energy expenditure is outweighed by energy intake. Tuberal hypothalamic nuclei, including the arcuate nucleus (ARC), ventromedial nucleus…”
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