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International Journal of Coal Preparation and Utilization Volume 42, 2022 - Issue 4
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Research Article

Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis

Moshood Onifadea Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam;b Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, VietnamCorrespondence[email protected]
,
Abiodun Ismail Lawalc Department of Mining Engineering, Federal University of Technology, Akure, Nigeria
,
Adeyemi Emman Aladejared Oulu Mining School, University of Oulu, Oulu, Finland
,
Samson Badae Clean Coal and Sustainable Energy Research Group, University of the Witwatersrand, Johannesburg, South Africa
&
Musa Adebayo Idrisf Division of Mining and Geotechnical Engineering, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Luleå, Sweden
Pages 1170-1184 | Received 15 Sep 2019, Accepted 18 Nov 2019, Published online: 29 Nov 2019

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Jessica K. Suastes-Rivas, Regina Aburto Barrera, Violeta Y. Mena-Cervantes, Isaac Chairez, Pablo René Díaz-Herrera & Raúl Hernández-Altamirano. (2023) Bioenergy enhancement for isolated microalgae-yeast cocultured residual biomass as a function of inorganic micronutrients’ distribution. Biofuels 0:0, pages 1-13.
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Bharath Kumar Shanmugam, Harsha Vardhan, M. Govinda Raj, Marutiram Kaza, Rameshwar Sah & Harish Hanumanthappa. (2023) Comparison of the prediction performance of separating coal in separation equipment using machine learning based cubic regression modelling and cascade neural network modelling. International Journal of Coal Preparation and Utilization 43:2, pages 248-263.
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Ali Volkan Akkaya. (2022) Coal higher heating value prediction using constituents of proximate analysis: Gaussian process regression model. International Journal of Coal Preparation and Utilization 42:7, pages 1952-1967.
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Adeyemi Emman Aladejare, Moshood Onifade & Abiodun Ismail Lawal. (2022) Application of metaheuristic based artificial neural network and multilinear regression for the prediction of higher heating values of fuels. International Journal of Coal Preparation and Utilization 42:6, pages 1830-1851.
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Khadija Omar Said, Moshood Onifade, Abiodun Ismail Lawal & Joseph Muchiri Githiria. (2022) Computational intelligence-based models for predicting the spontaneous combustion liability of coal. International Journal of Coal Preparation and Utilization 42:6, pages 1626-1650.
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Abiodun Ismail Lawal, Moshood Onifade, Jibril Abdulsalam, Adeyemi Emman Aladejare, Abisola Risiwat Gbadamosi & Khadija Omar Said. (2022) On the Performance Assessment of ANN and Spotted Hyena Optimized ANN to Predict the Spontaneous Combustion Liability of Coal. Combustion Science and Technology 194:7, pages 1408-1432.
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Khadija Omar Said, Moshood Onifade, Abiodun Ismail Lawal & Joseph Muchiri Githiria. (2021) An Artificial Intelligence-based Model for the Prediction of Spontaneous Combustion Liability of Coal Based on Its Proximate Analysis. Combustion Science and Technology 193:13, pages 2350-2367.
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Ali Volkan Akkaya & Burhanettin Çetin. (2020) Formulating a novel combined equation for coal calorific value estimation by group method data handling type neural network. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-14.
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Articles from other publishers (16)

Tanveer Alam Munshi, Labiba Nusrat Jahan, M. Farhad Howladar & Mahamudul Hashan. (2023) Prediction of gross calorific value from coal analysis using decision tree-based bagging and boosting techniques. Heliyon, pages e23395.
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Kaan Büyükkanber, Hanzade Haykiri-Acma & Serdar Yaman. (2023) Calorific value prediction of coal and its optimization by machine learning based on limited samples in a wide range. Energy 277, pages 127666.
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Bijendra Shrestha, Jetsada Posom, Panmanas Sirisomboon & Bim Prasad Shrestha. (2023) Comprehensive Assessment of Biomass Properties for Energy Usage Using Near-Infrared Spectroscopy and Spectral Multi-Preprocessing Techniques. Energies 16:14, pages 5351.
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Ebru BAŞPINAR TUNCAY, Ekin KÖKEN & Şemsettin KILINÇARSLAN. (2022) BETON DAYANIM ÖZELLİKLERİNİN YÜZEY TEPKİ YÖNTEMİ, GENETİK ALGORİTMA VE YAPAY SİNİR AĞLARI İLE TAHMİNİESTIMATION OF CONCRETE STRENGTH PROPERTIES THROUGH THE RESPONSE SURFACE METHODOLOGY, GENETIC ALGORITHM, AND ARTIFICIAL NEURAL NETWORKS. Mühendislik Bilimleri ve Tasarım Dergisi 10:2, pages 429-441.
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Abiodun Ismail Lawal, Gafar O. Oniyide, Sangki Kwon, Moshood Onifade, Ekin Köken & Nafiu O. Ogunsola. (2021) Prediction of Mechanical Properties of Coal from Non-destructive Properties: A Comparative Application of MARS, ANN, and GA. Natural Resources Research 30:6, pages 4547-4563.
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Elijah Adesanya, Adeyemi Aladejare, Adeolu Adediran, Abiodun Lawal & Mirja Illikainen. (2021) Predicting shrinkage of alkali-activated blast furnace-fly ash mortars using artificial neural network (ANN). Cement and Concrete Composites 124, pages 104265.
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Abiodun Ismail Lawal, Sangki Kwon & Moshood Onifade. (2021) Prediction of rock penetration rate using a novel antlion optimized ANN and statistical modelling. Journal of African Earth Sciences 182, pages 104287.
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Abiodun Ismail Lawal, Sangki Kwon & Geon Young Kim. (2021) Prediction of an environmental impact of tunnel blasting using ordinary artificial neural network, particle swarm and Dragonfly optimized artificial neural networks. Applied Acoustics 181, pages 108122.
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A. I. Lawal, S. I. Olajuyi, S. Kwon, A. E. Aladejare & T. M. Edo. (2021) Prediction of blast-induced ground vibration using GPR and blast-design parameters optimization based on novel grey-wolf optimization algorithm. Acta Geophysica 69:4, pages 1313-1324.
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Navid Kardani, Annan Zhou, Majidreza Nazem & Xiaoshan Lin. (2021) Modelling of municipal solid waste gasification using an optimised ensemble soft computing model. Fuel 289, pages 119903.
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Abiodun Ismail Lawal, Sangki Kwon, Olaide Sakiru Hammed & Musa Adebayo Idris. (2021) Blast-induced ground vibration prediction in granite quarries: An application of gene expression programming, ANFIS, and sine cosine algorithm optimized ANN. International Journal of Mining Science and Technology 31:2, pages 265-277.
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Abiodun Ismail Lawal & Sangki Kwon. (2021) Application of artificial intelligence to rock mechanics: An overview. Journal of Rock Mechanics and Geotechnical Engineering 13:1, pages 248-266.
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Abiodun Ismail Lawal. (2021) A new modification to the Kuz-Ram model using the fragment size predicted by image analysis. International Journal of Rock Mechanics and Mining Sciences 138, pages 104595.
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Abiodun Ismail Lawal, Adeyemi Emman Aladejare, Moshood Onifade, Samson Bada & Musa Adebayo Idris. (2020) Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS, ANN and MLR. International Journal of Coal Science & Technology 8:1, pages 124-140.
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Hoang Nguyen, Hoang-Bac Bui & Xuan-Nam Bui. (2020) Rapid Determination of Gross Calorific Value of Coal Using Artificial Neural Network and Particle Swarm Optimization. Natural Resources Research 30:1, pages 621-638.
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Jibril Abdulsalam, Abiodun Ismail Lawal, Ramadimetja Lizah Setsepu, Moshood Onifade & Samson Bada. (2020) Application of gene expression programming, artificial neural network and multilinear regression in predicting hydrochar physicochemical properties. Bioresources and Bioprocessing 7:1.
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