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Particulate Science and Technology
An International Journal
Volume 41, 2023 - Issue 5
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Modeling operational cement rotary kiln variables with explainable artificial intelligence methods – a “conscious lab” development

Rasoul Fatahia School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
,
Hamid Nasirib Department of Computer Engineering, Amirkabir University of Technology, Tehran, IranCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-9279-6063
ORCID Icon,
Arman Homafarc Electrical and Computer Engineering Department, Semnan University, Semnan, Iran
,
Rasoul Khosravid Department of Mining, Faculty of Engineering, Lorestan University, Khorramabad, Iran
,
Hossein Siavoshie Department of Mining and Geological Engineering, University of Arizona, Tucson, USA
&
Saeed Chehreh Chelganif Minerals and Metallurgical Engineering, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, SwedenCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2265-6321
ORCID Icon
Pages 715-724 | Published online: 20 Oct 2022

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Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri & Arman Homafar. (2023) Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method. Computer Methods in Biomechanics and Biomedical Engineering 0:0, pages 1-17.
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Mona Esmaeili, Zeinab Akhavan, Hamid Nasiri, Yonatan Melese Worku, Sisay Tadesse Arzo, Andreas Stavropoulos, Michael Devetsikiotis & Payman Zarkesh-Ha. (2023) Medical Asset Management: Deep Learning Based Asset Usage Prediction in a Hospital Setting Using Real Data. Medical Asset Management: Deep Learning Based Asset Usage Prediction in a Hospital Setting Using Real Data.
Lei Zhang, Binbin Hong, Yanjie Zou, Yinhua Li, Guofeng Ren & Mingdong Zhao. (2023) Dynamic model of sintering temperature prediction in rotary kiln based Seq2Seq with dual attention. Dynamic model of sintering temperature prediction in rotary kiln based Seq2Seq with dual attention.
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Yildiz Aydin. (2023) A Comparative Analysis of Skin Cancer Detection Applications Using Histogram-Based Local Descriptors. Diagnostics 13:19, pages 3142.
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Yutao Li, Chuanguo Jia, Hong Chen, Hongchen Su, Jiahao Chen & Duoduo Wang. (2023) Machine Learning Assessment of Damage Grade for Post-Earthquake Buildings: A Three-Stage Approach Directly Handling Categorical Features. Sustainability 15:18, pages 13847.
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Saeid Saberi, Hamid Nasiri, Omid Ghorbani, Michael I. Friswell & Saullo G. P. Castro. (2023) Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates. Materials 16:15, pages 5381.
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Hardik Prabhu, Aamod Sane, Renu Dhadwal, Naren Rajan Parlikkad & Jayaraman Krishnamoorthy Valadi. (2023) Interpretation of Drop Size Predictions from a Random Forest Model Using Local Interpretable Model-Agnostic Explanations (LIME) in a Rotating Disc Contactor. Industrial & Engineering Chemistry Research.
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Alireza Farzipour, Roya Elmi & Hamid Nasiri. (2023) Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods. Diagnostics 13:14, pages 2391.
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Fabian Dobmeier, Rui Li, Florian Ettemeyer, Melvin Mariadass, Philipp Lechner, Wolfram Volk & Daniel Günther. (2023) Predicting and Evaluating Decoring Behavior of Inorganically Bound Sand Cores, Using XGBoost and Artificial Neural Networks. Applied Sciences 13:13, pages 7948.
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Tonglei Wang, Qun Li, Jinggang Yang, Tianxi Xie, Peng Wu & Jiabi Liang. (2023) Transformer Fault Diagnosis Method Based on Incomplete Data and TPE-XGBoost. Applied Sciences 13:13, pages 7539.
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Claudia Cava, Christian Salvatore & Isabella Castiglioni. (2023) Pan-Cancer Classification of Gene Expression Data Based on Artificial Neural Network Model. Applied Sciences 13:13, pages 7355.
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Md. Johir Raihan, Md. Al-Masrur Khan, Seong-Hoon Kee & Abdullah-Al Nahid. (2023) Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP. Scientific Reports 13:1.
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