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권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 목차
Changes in physical properties with varying impregnation temperatures and compression times during fabrication of carbon blocks using needle cokes and pitch USang Youn, SangHye Lee, JongBok Kim, JaeSeung Roh p. 2153-2161
(The) solubility of deep eutectic solvents derived from allytriphenylphosphonium bromide in supercritical carbon dioxide in the presence of ethanol as a cosolvent YoonKook Park p. 2091-2097
Microbial treatment of azo dyes using biogenic bimetallic iron-molybdenum nanoparticles Sun-Wook Jeong, Jung Eun Yang, Yong Jun Choi p. 2059-2067
Effect of Na2CO3 on production of NaHCO3 using desulfurized Na2SO4 waste Chaehyun Lim, Youngchul Byun, Hwan Gi Kim, Sang Sook Park, Jung Gi Min p. 2163-2172
Effect of oxyfluorination of activated carbon on the adsorption of tetracycline from aqueous solutions Chung Gi Min, Chaehun Lim, Seongmin Ha, Seongjae Myeong, Young-Seak Lee p. 2069-2077
Pumping with modified polyurethane sponges : a rapid oil spill treatment technology Yupu Meng, Xiaohong Zhou, Zhiwei Huang, Zhuqing Wang p. 2133-2142
Improved coloration efficiency and stability of WO3 electrochromic devices by the addition of silver nanowires Dong-Kun An, Seog-Jin Jeon p. 2173-2181
Studies on effective photo-catalytic degradation of rhodamine-B using metal-doped oxidized-activated carbon : kinetics, isotherm models and degradation mechanism Rajendraprasad Munireddy, Loganathan Murugesan, Murugesan Arukkani, Senthil Kumar Ponnusamy, Rangasamy Gayathri p. 2183-2200
Piezoelectric persulfate activation process for oxidative degradation of aqueous pollutants Win Thi Yein, Qun Wang, Dong-Su Kim p. 1871-1900
Electrochemically activated histidine-tagged flavoenzyme-mediated biopseudocapacitor Suhwan Sung, Joon-Hyung Jin p. 2143-2152
Theoretically and experimentally exploring the inhibition effect of imidazole sulfonic acid derivatives with multiple adsorption sites in 1.0 mol/L HCl Pengjie Wang, Lin Fan, Yuhao Song, Kuaihai Deng, Lei Guo, Zhonghui Li, Yuanhua Lin p. 2117-2132
Mass transfer kinetics of ultrasound-assisted steam distillation for the extraction of cinnamon oils Haixiang Shi, Xiaoyu Ling, Xuan Luo, Tongming Su, Xinling Xie, Hongbing Ji, Zuzeng Qin p. 1977-1990
Catalysing sustainability with keratin-derived adsorbent materials for enhanced heavy metal remediation Shreya Vashista, Ashish Arora, Mahesh Kumar Sah p. 1901-1921
Construction of NH2-MIL-101(Fe)/TiO2 heterojunction to enhance the charge transfer in photocatalytic degradation of antibiotics Yuting Jiang, Shouying Wu, Hongyu Zhang, Wei Wu, Bolin Ji, Yi Zhong, Hong Xu, Xueling Feng, Bijia Wang, Yimeng Ma, Zhiping Mao, Linping Zhang p. 2039-2058
Photothermal methanation of CO with benzyl alcohol as a hydrogen source using Au-Ni alloy catalyst Yuheng Zhou, Yingtao Yang, Yuntao Hu p. 2109-2115
Loading of 4-chloro-3-formylcoumarin on the potassium-based perylene tetracarboxylic acid as the metal-organic framework for the biocompatible antimicrobial performances Rajaram Rajamohan, Chandramohan Govindasamy, Michael Ruby Raj, Chaitany Jayprakash Raorane, Seong-Cheol Kim, Sivakumar Allur Subramanian, Sung Jae Kim, Kuppusamy Murugavel, Sanjeevram Dhandapani, Yong Rok Lee p. 2079-2090
Suppressing lithium metal plating of graphite anode with Al2O3 and TiO2 for fast-charging Li-ion batteries Seung Gyu Jung, Mangishetti Sandya Rani, Jaejin Bae, Song Kyu Kang, Gwan Hyeon Park, Junhyuk Ji, Won Bae Kim p. 2029-2037
Microwave-assisted hydrothermal synthesis, characterization and catalytic performance of α-Bi2Mo3O12 in the selective oxidation of propene Xin Zhang, Songling Xu, Shufeng Shan, Xingye Zeng, Rujin Zhou p. 2017-2027
Variable time delay-based granger causality approach integrated with dynamic coupling analysis for root cause diagnosis in chemical processes Yuting Li, Xu Yang, Jian Huang, Jingjing Gao p. 1955-1976
Progresses and challenges of machine learning approaches in thermochemical processes for bioenergy : a review Nafiu Olanrewaju Ogunsola, Seung Seok Oh, Pil Rip Jeon, Jester Lih Jie Ling, Hyun Jun Park, Han Saem Park, Ha Eun Lee, Jung Min Sohn, See Hoon Lee p. 1923-1953
Validation of effectiveness factor correlations for steam methane reforming in Ni-based washcoat catalyst layers using commercial computational fluid dynamics software Yun Seok Oh, Hyun-Joo Oh, Jin Hyun Nam p. 1991-2004
Preparation of PVDF microporous membranes via combining TIPS with rolling embossing for water-in-oil emulsions separation Qichao Sun, Zhensheng Yang, Zhiying Wang, Lianying Wu p. 2005-2015
Bio-base metal organic frameworks as potential CO2 adsorbents Jiawei Zhang, Jingjing Ma, Chen Liu, Qi Wang, Yiling Xu, Long Fang, Kai Xia, Deshuai Sun p. 2099-2107

참고문헌 (156건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 Prediction of tar and particulate in biomass gasification using adaptive neuro fuzzy inference system 미소장
2 Prediction of NOx emissions from a biomass fired combustion process through digital imaging, non-negative matrix factorization and fast sparse regression 미소장
3 Biomass gasification models for downdraft gasifier: A state-of-the-art review 미소장
4 Modeling of biomass gasification: A review 미소장
5 Black-box complexities of combinatorial problems 미소장
6 What is a support vector machine? 미소장
7 The yields and composition of bio-oil produced from Quercus Acutissima in a bubbling fluidized bed pyrolyzer 미소장
8 Artificial neural network modelling approach for a biomass gasification process in fixed bed gasifiers 미소장
9 Artificial neural networks: a tutorial 미소장
10 Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set 미소장
11 A review on pyrolysis of biomass constituents: Mechanisms and composition of the products obtained from the conversion of cellulose, hemicelluloses and lignin 미소장
12 Artificial intelligence for the modeling and control of combustion processes: a review 미소장
13 State of the art on reactor designs for solar gasification of carbonaceous feedstock 미소장
14 Review of fast pyrolysis of biomass and product upgrading 미소장
15 Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms 미소장
16 Efficient Greedy Learning of Gaussian Mixture Models 미소장
17 Long-term operation of biomass-to-liquid systems coupled to gasification and Fischer–Tropsch processes for biofuel production 미소장
18 Application of artificial neural network for kinetic parameters prediction of biomass oxidation from biomass properties 미소장
19 Prediction of NOx Emissions from a Biomass Fired Combustion Process Based on Flame Radical Imaging and Deep Learning Techniques 미소장
20 Sources of Biomass Feedstock Variability and the Potential Impact on Biofuels Production 미소장
21 The pyrolysis process verification of hydrogen rich gas (H–rG) production by artificial neural network (ANN) 미소장
22 Fuzzy logic-based predictive model for biomass pyrolysis 미소장
23 Prediction and Validation of Major Gas and Tar Species from a Reactor Network Model of Air-Blown Fluidized Bed Biomass Gasification 미소장
24 The progressive routes for carbon capture and sequestration 미소장
25 Pyrolysis products from industrial waste biomass based on a neural network model 미소장
26 Co-combustion of peanut hull and coal blends: Artificial neural networks modeling, particle swarm optimization and Monte Carlo simulation 미소장
27 Biochemical Conversion Processes of Lignocellulosic Biomass to Fuels and Chemicals – A Review 미소장
28 Artificial neural network model for the prediction of kinetic parameters of biomass pyrolysis from its constituents 미소장
29 Kinetic Model of Steam Gasification of Biomass in a Bubbling Fluidized Bed Reactor 미소장
30 Artificial neural network based modeling of biomass gasification in fixed bed downdraft gasifiers 미소장
31 Hydrogen generation via supercritical water gasification of lignin using Ni-Co/Mg-Al catalysts 미소장
32 Lignin Degradation by Fungal Pretreatment: A Review 미소장
33 Comparison of ANN (MLP), ANFIS, SVM, and RF models for the online classification of heating value of burning municipal solid waste in circulating fluidized bed incinerators 미소장
34 Application of machine learning to pyrolysis reaction networks: Reducing model solution time to enable process optimization 미소장
35 Image-based deep neural network prediction of the heat output of a step-grate biomass boiler 미소장
36 Lignocellulosic biomass pyrolysis mechanism: A state-of-the-art review 미소장
37 The prediction of potential energy and matter production from biomass pyrolysis with artificial neural network 미소장
38 Moisture content prediction in poultry litter using artificial intelligence techniques and Monte Carlo simulation to determine the economic yield from energy use 미소장
39 A reaction kinetic study of CO2 gasification of petroleum coke, coals and mixture 미소장
40 A support vector machine-based ensemble algorithm for breast cancer diagnosis 미소장
41 Modeling and prediction of regional municipal solid waste generation and diversion in Canada using machine learning approaches 미소장
42 The Elements of Statistical Learning 미소장
43 Activation energy prediction of biomass wastes based on different neural network topologies 미소장
44 A new insight into sugarcane biorefineries with fossil fuel co-combustion: Techno-economic analysis and life cycle assessment 미소장
45 Assessment of producer gas composition in air gasification of biomass using artificial neural network model 미소장
46 A predictive model of biochar formation and characterization 미소장
47 A Study of the Production and Combustion Characteristics of Pyrolytic Oil from Sewage Sludge Using the Taguchi Method 미소장
48 Prediction of combustion activation energy of NaOH/KOH catalyzed straw pyrolytic carbon based on machine learning 미소장
49 An artificial intelligence based approach to predicting syngas composition for downdraft biomass gasification 미소장
50 An artificial neural network based model to predict spatial soil type distribution using piezocone penetration test data (CPTu) 미소장
51 Synthesis, characterization and machine learning based performance prediction of straw activated carbon 미소장
52 ANN-Kriging hybrid model for predicting carbon and inorganic phosphorus recovery in hydrothermal carbonization 미소장
53 Economic analysis of a 600 mwe ultra supercritical circulating fluidized bed power plant based on coal tax and biomass co-combustion plans 미소장
54 A review on biomass pyrolysis models: Kinetic, network and mechanistic models 미소장
55 Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms 미소장
56 Application of Artificial Neural Networks in prediction of pyrolysis behavior for algal mat (LABLAB) biomass 미소장
57 Numerical approaches and comprehensive models for gasification process: A review 미소장
58 Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions 미소장
59 Comparison of the different artificial neural networks in prediction of biomass gasification products 미소장
60 Prediction of higher heating value of biomass materials based on proximate analysis using gradient boosted regression trees method 미소장
61 Carbon monoxide emission models for small-scale biomass combustion of wooden pellets 미소장
62 A comprehensive study on estimating higher heating value of biomass from proximate and ultimate analysis with machine learning approaches 미소장
63 Application of soft computing techniques in tunnelling and underground excavations: state of the art and future prospects 미소장
64 A review on subcritical and supercritical water gasification of biogenic, polymeric and petroleum wastes to hydrogen-rich synthesis gas 미소장
65 Uncertainty and sensitivity analyses of co-combustion/pyrolysis of textile dyeing sludge and incense sticks: Regression and machine-learning models 미소장
66 Is hydrothermal treatment coupled with carbon capture and storage an energy-producing negative emissions technology? 미소장
67 Predictive modeling of biomass gasification with machine learning-based regression methods 미소장
68 Modelling of biomass gasification with steam 미소장
69 CFD-based reduced-order modeling of fluidized-bed biomass fast pyrolysis using artificial neural network 미소장
70 Forecasting tunnel geology, construction time and costs using machine learning methods 미소장
71 A comprehensive review of engineered biochar: Production, characteristics, and environmental applications 미소장
72 Tar prediction in bubbling fluidized bed gasification through artificial neural networks 미소장
73 Fuzzy model predictive control for small-scale biomass combustion furnaces 미소장
74 Predicting algal biochar yield using eXtreme Gradient Boosting (XGB) algorithm of machine learning methods 미소장
75 Hydrochars as Emerging Biofuels: Recent Advances and Application of Artificial Neural Networks for the Prediction of Heating Values 미소장
76 Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource 미소장
77 Combustion behavior, kinetics, gas emission characteristics and artificial neural network modeling of coal gangue and biomass via TG-FTIR 미소장
78 Numerical study of oxy-fuel combustion behaviors in a 2MWe CFB boiler 미소장
79 Emission limited model predictive control of a small-scale biomass furnace 미소장
80 CFD-DEM Simulation of Biomass Pyrolysis in Fluidized-Bed Reactor with a Multistep Kinetic Scheme 미소장
81 MultiCon: A Semi-Supervised Approach for Predicting Drug Function from Chemical Structure Analysis 미소장
82 The prediction of CO2 emissions in domestic power generation sector between 2020 and 2030 for Korea 미소장
83 Application of artificial intelligence to rock mechanics: An overview 미소장
84 (Reference title not available) 미소장
85 Machine Learning in Predictive Toxicology: Recent Applications and Future Directions for Classification Models 미소장
86 Modelling of municipal solid waste gasification using an optimised ensemble soft computing model 미소장
87 Optimization of hydrothermal liquefaction process through machine learning approach: process conditions and oil yield 미소장
88 Modeling the prediction of hydrogen production by co‐gasification of plastic and rubber wastes using machine learning algorithms 미소장
89 Modeling and process optimization of hydrothermal gasification for hydrogen production: A comprehensive review 미소장
90 Vertical flow constructed wetlands using expanded clay and biochar for wastewater remediation: A comparative study and prediction of effluents using machine learning 미소장
91 Gasification of food waste in supercritical water: An innovative synthesis gas composition prediction model based on Artificial Neural Networks 미소장
92 Machine learning technology in biodiesel research: A review 미소장
93 Optimization of hydrothermal gasification process through machine learning approach: Experimental conditions, product yield and pollution 미소장
94 Estimation of lignocellulosic biomass pyrolysis product yields using artificial neural networks 미소장
95 Towards Engineered Hydrochars: Application of Artificial Neural Networks in the Hydrothermal Carbonization of Sewage Sludge 미소장
96 A comparative study of machine learning methods for bio-oil yield prediction – A genetic algorithm-based features selection 미소장
97 A novel machine learning-based approach for prediction of nitrogen content in hydrochar from hydrothermal carbonization of sewage sludge 미소장
98 A review on ammonia, ammonia-hydrogen and ammonia-methane fuels 미소장
99 Interpretable machine learning for predicting and evaluating hydrogen production via supercritical water gasification of biomass 미소장
100 Hydrogen Production by Fluidized Bed Reactors: A Quantitative Perspective Using the Supervised Machine Learning Approach 미소장
101 Estimation of higher heating values (HHVs) of biomass fuels based on ultimate analysis using machine learning techniques and improved equation 미소장
102 Production of biofuels from biomass: Predicting the energy employing artificial intelligence modelling 미소장
103 Optimization of Hydrolysis-Acidogenesis Phase of Swine Manure for Biogas Production Using Two-Stage Anaerobic Fermentation 미소장
104 Machine learning prediction of pyrolytic gas yield and compositions with feature reduction methods: Effects of pyrolysis conditions and biomass characteristics 미소장
105 Prediction of char production from slow pyrolysis of lignocellulosic biomass using multiple nonlinear regression and artificial neural network 미소장
106 Lignocellulosic biomass-based pyrolysis: A comprehensive review 미소장
107 Sustainability assessment of biomethanol production via hydrothermal gasification supported by artificial neural network 미소장
108 Comparison of machine learning methodologies for predicting kinetics of hydrothermal carbonization of selective biomass 미소장
109 A simple model for estimation of higher heating value of oily sludge 미소장
110 Elucidating the effect of process parameters on the production of hydrogen-rich syngas by biomass and coal Co-gasification techniques: A multi-criteria modeling approach 미소장
111 A hybrid data-driven and mechanistic modelling approach for hydrothermal gasification 미소장
112 Multi-layer perceptron artificial neural network (MLP-ANN) prediction of biomass higher heating value (HHV) using combined biomass proximate and ultimate analysis data 미소장
113 Machine learning prediction and optimization of bio-oil production from hydrothermal liquefaction of algae 미소장
114 MFiX based multi-scale CFD simulations of biomass fast pyrolysis: A review 미소장
115 Prediction of Mechanical Properties of Coal from Non-destructive Properties: A Comparative Application of MARS, ANN, and GA 미소장
116 Investigation of co-combustion of sewage sludge and coffee industry residue by TG-FTIR and machine learning methods 미소장
117 Predicting co-pyrolysis of coal and biomass using machine learning approaches 미소장
118 The role of machine learning to boost the bioenergy and biofuels conversion 미소장
119 Recent advances of thermochemical conversion processes for biorefinery 미소장
120 Machine learning in solid heterogeneous catalysis: Recent developments, challenges and perspectives 미소장
121 Machine learning prediction of biocrude yields and higher heating values from hydrothermal liquefaction of wet biomass and wastes 미소장
122 Modeling of thermochemical conversion of waste biomass – a comprehensive review 미소장
123 The modeling and products prediction for biomass oxidative pyrolysis based on PSO-ANN method: An artificial intelligence algorithm approach 미소장
124 Wet wastes to bioenergy and biochar: A critical review with future perspectives 미소장
125 Biomass fast pyrolysis prediction model through data-based prediction models coupling with CPFD simulation 미소장
126 Random forest-based modeling for insights on phosphorus content in hydrochar produced from hydrothermal carbonization of sewage sludge 미소장
127 Machine learning methods for modeling conventional and hydrothermal gasification of waste biomass: A review 미소장
128 Prediction of combustion reactivity for lignocellulosic fuels by means of machine learning 미소장
129 Data-driven correlations of higher heating value for biomass, waste and their combination based on their elemental compositions 미소장
130 Prediction and evaluation of fuel properties of hydrochar from waste solid biomass: Machine learning algorithm based on proposed PSO–NN model 미소장
131 Predictability of higher heating value of biomass feedstocks via proximate and ultimate analyses – A comprehensive study of artificial neural network applications 미소장
132 Accuracy of predictions made by machine learned models for biocrude yields obtained from hydrothermal liquefaction of organic wastes 미소장
133 Evaluation of the solar thermal storage of fluidized bed materials for hybrid solar thermo-chemical processes 미소장
134 Prediction of Pyrolysis Kinetics of Biomass: New Insights from Artificial Intelligence-Based Modeling 미소장
135 Interpretable machine-learning model with a collaborative game approach to predict yields and higher heating value of torrefied biomass 미소장
136 Prediction of activation energy of biomass wastes by using multilayer perceptron neural network with Weka 미소장
137 An integrated framework of data-driven, metaheuristic, and mechanistic modeling approach for biomass pyrolysis 미소장
138 Determination of the heat capacity of cellulosic biosamples employing diverse machine learning approaches 미소장
139 A machine learning model to predict the pyrolytic kinetics of different types of feedstocks 미소장
140 Machine learning predicts and optimizes hydrothermal liquefaction of biomass 미소장
141 Prediction of product yields using fusion model from Co-pyrolysis of biomass and coal 미소장
142 Gaseous emissions from advanced CLC and oxyfuel fluidized bed combustion of coal and biomass in a complex geometry facility:A comprehensive model 미소장
143 Analysis of operational characteristics of biomass oxygen fuel circulating fluidized bed combustor with indirect supercritical carbon dioxide cycle 미소장
144 Autonomous kinetic modeling of biomass pyrolysis using chemical reaction neural networks 미소장
145 Analysis of combustion characteristics using CPFD in 0.1 MW<SUB align="right">th oxy-fuel CFB 미소장
146 Techno-economic assessment of a solar-assisted biomass gasification process 미소장
147 Process optimization of biomass gasification with a Monte Carlo approach and random forest algorithm 미소장
148 Prediction of activation energy for combustion and pyrolysis by means of machine learning 미소장
149 Machine learning predicting wastewater properties of the aqueous phase derived from hydrothermal treatment of biomass 미소장
150 A comprehensive artificial neural network model for gasification process prediction 미소장
151 Machine learning approach for the prediction of biomass pyrolysis kinetics from preliminary analysis 미소장
152 Understanding and optimizing the gasification of biomass waste with machine learning 미소장
153 Recent progress in the catalytic thermochemical conversion process of biomass for biofuels 미소장
154 Prediction of thermal degradation of biopolymers in biomass under pyrolysis atmosphere by means of machine learning 미소장
155 Recent advances and future prospects of thermochemical biofuel conversion processes with machine learning 미소장
156 Study of the influence of operational parameters on biomass conversion in a pyrolysis reactor via CFD 미소장

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