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Yonatan Cadavid, Camilo Echeverri-Uribe, Cristian C. Mejía, Andrés Amell, Juan David Rivas Medina & Jorge Andrés Muñoz Ospina. (2022) Analysis of potential energy savings in a rotary dryer for clay drying using data mining techniques. Drying Technology 40:7, pages 1451-1462.
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Modesto P. Júnior, Moisés T. da Silva, Frederico G. Guimarães & Thiago A. M. Euzébio. (2022) Energy savings in a rotary dryer due to a fuzzy multivariable control application. Drying Technology 40:6, pages 1196-1209.
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Md. Imran H. Khan, Shyam S. Sablani, M. U. H. Joardder & M. A. Karim. (2022) Application of machine learning-based approach in food drying: opportunities and challenges. Drying Technology 40:6, pages 1051-1067.
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E. R. Paula, R. C. Brito, J. T. Freire & F. B. Freire. (2021) Soft sensor based on a lumped parameter model of solids drying in a spouted bed. Drying Technology 39:4, pages 481-494.
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Biplab Satpati, Chiranjib Koley & Subhashis Datta. (2020) Nonlinear model of pneumatic conveying dryer for economic process control. Drying Technology 38:11, pages 1516-1537.
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Alex Martynenko & N. N. Misra. (2020) Machine learning in drying. Drying Technology 38:5-6, pages 596-609.
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Gustavo N. A. Vieira, Martín Olazar, José T. Freire & Fábio B. Freire. (2019) Real-time monitoring of milk powder moisture content during drying in a spouted bed dryer using a hybrid neural soft sensor. Drying Technology 37:9, pages 1184-1190.
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Carlos Adriano Moreira da Silva, Maria do Carmo Ferreira, Fabio Bentes Freire & José Teixeira Freire. (2019) Analysis of the dynamics of paste drying in a spouted bed. Drying Technology 37:7, pages 876-884.
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Alex Martynenko. (2018) Artificial intelligence: Is it a good fit for drying?. Drying Technology 36:8, pages 891-892.
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Fábio B. Freire, Aitor Atxutegi, Flavio B. Freire, José T. Freire, Roberto Aguado & Martin Olazar. (2017) An adaptive lumped parameter cascade model for orange juice solid waste drying in spouted bed. Drying Technology 35:5, pages 577-584.
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José Vásquez, Alejandro Reyes, Andrea Mahn & Francisco Cubillos. (2016) Experimental evaluation of fuzzy control solar drying with thermal energy storage system. Drying Technology 34:13, pages 1558-1566.
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Xu Duan, Xiaotong Yang, Guangyue Ren, Yuqi Pang, Lili Liu & Yunhong Liu. (2016) Technical aspects in freeze-drying of foods. Drying Technology 34:11, pages 1271-1285.
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Sachin V. Jangam. (2016) Guest editorial: Resources for R&D in drying technologies. Drying Technology 34:2, pages 149-149.
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Gustavo Nakamura Alves Vieira, Fábio Bentes Freire & José T. Freire. (2015) Control of the Moisture Content of Milk Powder Produced in a Spouted Bed Dryer Using a Grey-Box Inferential Controller. Drying Technology 33:15-16, pages 1920-1928.
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Omar F. Lutfy, Hazlina Selamat & S. B. Mohd Noor. (2015) Intelligent Modeling and Control of a Conveyor Belt Grain Dryer Using a Simplified Type 2 Neuro-Fuzzy Controller. Drying Technology 33:10, pages 1210-1222.
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Articles from other publishers (10)
Willam Trujillo, Joseph Cobo, Dayanna Vera-Cedeño, Alex Palma-Cando, Jorge Toro-Álava, Alfredo Viloria & Marvin Ricaurte. (2022) Magnetic Separation and Enrichment of Fe–Ti Oxides from Iron Titaniferous Beach Sands: Process Design Applied to Coastal Ecuador. Resources 11:12, pages 121.
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Chengjie Li, Zhuangdong Fang, Jiahao Zhong, Bin Li & Changyou Li. (2022) Evaluating the dynamic characteristics and energetic performance of a paddy multistage counter-flow dryer. Biosystems Engineering 221, pages 208-223.
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Özge Çepelioğullar Mutlu, Daniel Büchner, Steffi Theurich & Thomas Zeng. (2021) Combined Use of Solar and Biomass Energy for Sustainable and Cost-Effective Low-Temperature Drying of Food Processing Residues on Industrial-Scale. Energies 14:3, pages 561.
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Jing Li, Zhenfeng Li, Ning Wang, G. S. V. Raghavan, Yongsheng Pei, Chunfang Song & Guanyu Zhu. (2020) Novel Sensing Technologies During the Food Drying Process. Food Engineering Reviews 12:2, pages 121-148.
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Maleki, Ghazvini, Ahmadi, Maddah & Shamshirband. (2019) Moisture Estimation in Cabinet Dryers with Thin-Layer Relationships Using a Genetic Algorithm and Neural Network. Mathematics 7:11, pages 1042.
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I. Estiati, M. Tellabide, J.F. Saldarriaga, H. Altzibar, F.B. Freire, J.T. Freire & M. Olazar. (2019) Comparison of artificial neural networks with empirical correlations for estimating the average cycle time in conical spouted beds. Particuology 42, pages 48-57.
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D. F. C. PEREIRA, A. SILVA & F. B. FREIRE. (2017) MODELO NEURAL PARA ESTIMATIVA DE VELOCIDADE DE MÍNIMO JORRO E QUEDA DE PRESSÃO EM LEITO DE JORRO COM E SEM TUBO DRAFT. MODELO NEURAL PARA ESTIMATIVA DE VELOCIDADE DE MÍNIMO JORRO E QUEDA DE PRESSÃO EM LEITO DE JORRO COM E SEM TUBO DRAFT.
Aline de Holanda Rosanova, Gustavo Dias Maia, Fábio Bentes Freire & Maria do Carmo Ferreira. (2017) A Neural Based Modeling Approach for Drying Kinetics Analysis of Mint Branches and Their Fractions (Leaves and Stems). Advances in Chemical Engineering and Science 07:02, pages 154-174.
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Biplab Satpati, Chiranjib Koley & Subhashis Datta. (2017) Sensor-Less Predictive Drying Control of Pneumatic Conveying Batch Dryers. IEEE Access 5, pages 3547-3568.
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Biplab Satpati, Chiranjib Koley & Subhashis Datta. (2016) Online estimation of rice powder moisture in a pneumatic conveying dryer. Online estimation of rice powder moisture in a pneumatic conveying dryer.