Citations (13)
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Kesu Wei, Jun Bin, Feng Wang & Chao Kang. (2022) On-Line Monitoring of the Tobacco Leaf Composition during Flue-Curing by Near-Infrared Spectroscopy and Deep Transfer Learning. Analytical Letters 55:13, pages 2089-2107.
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Suhuan Bi, Liangliang Mu & Xiuyan Liu. (2022) Deep multi-sequence multi-grained cascade forest for tobacco drying condition identification. Drying Technology 40:9, pages 1832-1844.
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Soleiman Hosseinpour & Alex Martynenko. (2022) Application of fuzzy logic in drying: A review. Drying Technology 40:5, pages 797-826.
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Suhuan Bi, Bin Zhang, Liangliang Mu, Xiangqian Ding & Jing Wang. (2020) Optimization of tobacco drying process control based on reinforcement learning. Drying Technology 38:10, pages 1291-1299.
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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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Shuo Wei, Bin-Qiang Tian, Hong-Fang Jia, Hong-Ying Zhang, Fan He & Zhao-Peng Song. (2018) Investigation on water distribution and state in tobacco leaves with stalks during curing by LF-NMR and MRI. Drying Technology 36:12, pages 1515-1522.
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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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Articles from other publishers (6)
Wencan Pei, Peiyuan Zhou, Jinguo Huang, Guangwei Sun & Jing Liu. (2024) State recognition and temperature rise time prediction of tobacco curing using multi-sensor data-fusion method based on feature impact factor. Expert Systems with Applications 237, pages 121591.
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Hebin Liao, Wei Zhang, Sebastian Borucki, Jiasen Jiang, Tianqin Lin & Zhixiong Li. (2021) Structure Optimization of Outlet Uniformity for a Comas Tower Dryer. Frontiers in Energy Research 9.
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Yonghua Xiong & Shuangqing Yu. (2019) A Novel Growth Evaluation System for Tobacco Planting Based on Image Classification. Journal of Advanced Computational Intelligence and Intelligent Informatics 23:6, pages 1004-1011.
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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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Juan Wu & Simon X. Yang. (2019) Intelligent Control of Bulk Tobacco Curing Schedule Using LS-SVM- and ANFIS-Based Multi-Sensor Data Fusion Approaches. Sensors 19:8, pages 1778.
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Aini Dai, Xiaoguang Zhou, Hao Dang, Muyi Sun & Zidan Wu. (2018) Intelligent Modeling Method for a Combined Radiation-Convection Grain Dryer: A Support Vector Regression Algorithm Based on an Improved Particle Swarm Optimization Algorithm. IEEE Access 6, pages 14285-14297.
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