Citations (37)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (20)
Mohammad Sadegh Goodarzi, Amin Kiomarsiyan, Karim Rouhibakhsh & Ebrahim Pourfatehyan. (2022) A novel method for prediction of refractive index of ionic liquids and alcohol binary systems. Petroleum Science and Technology 0:0, pages 1-15.
Read now
Read now
Ali Naghshgar, Karim Rouhibakhsh, Mohsen Zare & Mohammad Sadegh Goodarzi. (2022) Application of LSSVM-PSO algorithm as a novel tool to predict standard molar chemical exergy for organic materials. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:2, pages 3008-3015.
Read now
Read now
Mohammad Afkhami Karaei, Bizhan Honarvar, Amin Azdarpour & Erfan Mohammadian. (2022) On prediction of carbon dioxide solubility in aqueous systems of NaCl using LSSVM algorithm. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:2, pages 2801-2810.
Read now
Read now
Sajjad Rasam, Farzaneh Talebkeikhah, Mohsen Talebkeikhah, Ali Salimi & Mostafa Keshavarz Moraveji. (2021) Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation. International Journal of Environmental Analytical Chemistry 101:14, pages 2297-2318.
Read now
Read now
Roy Setiawan & Samira Mohammadinia. (2021) Toward estimating standard enthalpy of combustion of pure chemical compounds: extreme learning machine approach. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-9.
Read now
Read now
Seyed Hashem Samadi, Barat Ghobadian & Mohsen Nosrati. (2021) Prediction of higher heating value of biomass materials based on proximate analysis using gradient boosted regression trees method. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 43:6, pages 672-681.
Read now
Read now
Alexei Valerievich Yumashev, Seyed Morteza Fateminasab, Azam Marjani & Amin B. Lirgeshas. (2021) Development of computational methods for estimation of current efficiency and cell voltage in a Chlor-alkali membrane cell. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-14.
Read now
Read now
Rupak Roy & Srimanta Ray. (2020) Development of a non-linear model for prediction of higher heating value from the proximate composition of lignocellulosic biomass. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-14.
Read now
Read now
Yan Cao, Qiangfeng Wang, Zhijie Wang & Mahdi Ghadiri. (2020) Group contribution model based on decision tree algorithm for estimating flash point of pure organic compounds. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-11.
Read now
Read now
Milad Janghorban Lariche, Shahrzad Soltani, Hossein Davoudi Nezhad, Hamed Moradi, Sheyda Soltani, Fatemeh Farsayad & Hossein Moradi Kazerouni. (2020) Developing supervised models for estimating methylene blue removal by silver nanoparticles. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 42:10, pages 1247-1254.
Read now
Read now
Shayan Ahmadi, Mohadeseh Motie & Ramin Soltanmohammadi. (2020) Proposing a modified mechanism for determination of hydrocarbons dynamic viscosity, using artificial neural network. Petroleum Science and Technology 38:10, pages 699-705.
Read now
Read now
Milad Sedaghat & Karim Rouhibakhsh. (2020) Investigation of carbon dioxide capture and storage by a novel LSSVM-GA method. Petroleum Science and Technology 38:5, pages 421-427.
Read now
Read now
Ali Esfandiarian, Milad Sedaghat, Ali Maniatpour & Houman Darvish. (2019) Application of grid partitioning based fuzzy inference system as a novel predictor to estimate dynamic viscosity of n-alkane. Petroleum Science and Technology 37:23, pages 2309-2314.
Read now
Read now
Amin Kiomarsiyan & Ali Esfandiarian. (2019) Applying Grid partitioning based Fuzzy inference system method to estimate interfacial tension of brine and hydrocarbon. Petroleum Science and Technology 37:14, pages 1620-1625.
Read now
Read now
Ayda Darvishan, Hesam Bakhshi, Mojtaba Madadkhani, Mahdi Mir & Amin Bemani. (2018) Application of MLP-ANN as a novel predictive method for prediction of the higher heating value of biomass in terms of ultimate analysis. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40:24, pages 2960-2966.
Read now
Read now
Mohammad Sepehr, Mohammad Baghban, Alireza Ghanbari, Mohamad Ebrahim Bozorgvar & Alireza Baghban. (2018) Modeling dynamic viscosity of n-alkanes using LSSVM technique. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40:16, pages 1966-1973.
Read now
Read now
Milad Sedaghat & Karim Rouhibakhsh. (2018) On prediction of asphaltene precipitation in different operational conditions utilization of LSSVM algorithm. Petroleum Science and Technology 36:16, pages 1292-1297.
Read now
Read now
Mostafa Sedaghatzadeh, Pouya Bakhtiari Manesh & Khalil Shahbazi. (2018) Applying of LSSVM approach as a novel tool for accurate prediction of asphaltene inhibition efficiency. Petroleum Science and Technology 36:15, pages 1175-1180.
Read now
Read now
Soroush Khosravani Haghighi & Moein Nabipour. (2018) Application of LSSVM algorithm as a novel tool for prediction of density of bitumen and heavy n-alkane mixture. Petroleum Science and Technology 36:15, pages 1137-1142.
Read now
Read now
Razieh Razavi, Mohammad Navid Kardani, Alireza Ghanbari, Milad Janghorban Lariche & Alireza Baghban. (2018) Utilization of LSSVM algorithm for estimating synthetic natural gas density. Petroleum Science and Technology 36:11, pages 807-812.
Read now
Read now
Articles from other publishers (17)
Richa Dubey & Velmathi Guruviah. (2022) Predictive Modeling of Higher Heating Value of Biomass Using Ensemble Machine Learning Approach. Arabian Journal for Science and Engineering 48:7, pages 9329-9338.
Crossref
Crossref
Ibham Veza, Irianto, Hitesh Panchal, Permana Andi Paristiawan, Muhammad Idris, I.M. Rizwanul Fattah, Nicky R. Putra & Rajendran Silambarasan. (2022) Improved prediction accuracy of biomass heating value using proximate analysis with various ANN training algorithms. Results in Engineering 16, pages 100688.
Crossref
Crossref
João Moreira, Alan Carneiro, Diego Oliveira, Fernando Santos, Danielle Guerra, Manoel Nogueira, Hendrick Rocha, Félix Charvet & Luís Tarelho. (2022) Thermochemical Properties for Valorization of Amazonian Biomass as Fuel. Energies 15:19, pages 7343.
Crossref
Crossref
Jun Li, Raheel Ahmed, Huanwei Shi & Yan Wang. (2022) An extension of gases-brine mutual solubility models to include geochemical reactions: Modeling and applications. Journal of Contaminant Hydrology 249, pages 104030.
Crossref
Crossref
Tao Lin & Amir Seraj. (2022) Evolving Machine Learning Methods for Density Estimation of Liquid Alkali Metals over the Wide Ranges. International Journal of Chemical Engineering 2022, pages 1-11.
Crossref
Crossref
Yundi Huang, Fashe Li, Guirong Bao, Qingtai Xiao & Hua Wang. (2022) Modeling the effects of biodiesel chemical composition on iodine value using novel machine learning algorithm. Fuel 316, pages 123348.
Crossref
Crossref
Titus O. Ajewole, Abraham K. Aworinde, Oyetunji B. Okedere & Tobiloba E. Somefun. (2022) Agro-residues for clean electricity: in-lab trial of power generation from blended cocoa-kolanut wastes. Heliyon 8:3, pages e09091.
Crossref
Crossref
Abolfazl Sajadi Noushabadi, Amir Dashti, Farhad Ahmadijokani, Jinguang Hu & Amir H. Mohammadi. (2021) Estimation of higher heating values (HHVs) of biomass fuels based on ultimate analysis using machine learning techniques and improved equation. Renewable Energy 179, pages 550-562.
Crossref
Crossref
Anh Tuan Hoang, Sandro Nižetić, Hwai Chyuan Ong, Wieslaw Tarelko, Van Viet Pham, Tri Hieu Le, Minh Quang Chau & Xuan Phuong Nguyen. (2021) A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels. Sustainable Energy Technologies and Assessments 47, pages 101416.
Crossref
Crossref
Daniel Rangel-Martinez, K.D.P. Nigam & Luis A. Ricardez-Sandoval. (2021) Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage. Chemical Engineering Research and Design 174, pages 414-441.
Crossref
Crossref
Titus O. Ajewole, Francis B. Elehinafe, Oyetunji B. Okedere & Tobiloba E. Somefun. (2021) Agro-residues for clean electricity: A thermo-property characterization of cocoa and kolanut waste blends. Heliyon 7:9, pages e08055.
Crossref
Crossref
Mochen Liao & Yuan Yao. (2021) Applications of artificial intelligence‐based modeling for bioenergy systems: A review. GCB Bioenergy 13:5, pages 774-802.
Crossref
Crossref
Paramaguru Venugopal, Ramesh Kasimani & Suresh Chinnasamy. (2020)
Developing a smart fuel using artificial neural network for compression ignition engine fueled with
Calophyllum inophyllum
diesel blend at various compression ratio
. Environmental Progress & Sustainable Energy 39:5.
Crossref
Crossref
Mehdi Bagheri, Reza Esfilar, Mohammad Sina Golchi & Christopher A. Kennedy. (2019) A comparative data mining approach for the prediction of energy recovery potential from various municipal solid waste. Renewable and Sustainable Energy Reviews 116, pages 109423.
Crossref
Crossref
Umesh B. Deshannavar, Prasad G. Hegde, Zeba Dhalayat, Vyjayanti Patil & Suchit Gavas. (2018) Production and characterization of agro-based briquettes and estimation of calorific value by regression analysis: An energy application. Materials Science for Energy Technologies 1:2, pages 175-181.
Crossref
Crossref
A. Gomez-Martin, R. Chacartegui, J. Ramirez-Rico & J. Martinez-Fernandez. (2018) Performance improvement in olive stone's combustion from a previous carbonization transformation. Fuel 228, pages 254-262.
Crossref
Crossref
Titus Ajewole, Abraham Aworinde, Oyetunji Okedere & Tobiloba Shomefun. (2021) Agro-Residues for Clean Electricity: In-Lab Trial of Power Generation from Blended Cocoa-Kolanut Wastes. SSRN Electronic Journal.
Crossref
Crossref