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Engineering Applications of Computational Fluid Mechanics Volume 12, 2018 - Issue 1
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Earthquake prediction with meteorological data by particle filter-based support vector regression

Pouria HajikhodaverdikhanDepartment of Computer Engineering, Faculty of Engineering, Rouzbahan Institute of Higher Education, Sari, Iran
,
Mousa NazariDepartment of Computer Engineering, Faculty of Engineering, Rouzbahan Institute of Higher Education, Sari, Iran
,
Mehrdad MohsenizadehLamar University, Beaumont, TX, USA
,
Shahaboddin ShamshirbandDepartment for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam;Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, VietnamCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-6605-498X
ORCID Icon &
Kwok-wing ChauDepartment of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, People’s Republic of China
Pages 679-688 | Received 25 Dec 2017, Accepted 10 Aug 2018, Published online: 03 Sep 2018

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Mohammad Hossein Ahmadi, Alireza Baghban, Milad Sadeghzadeh, Mohammad Zamen, Amir Mosavi, Shahaboddin Shamshirband, Ravinder Kumar & Mohammad Mohammadi-Khanaposhtani. (2020) Evaluation of electrical efficiency of photovoltaic thermal solar collector. Engineering Applications of Computational Fluid Mechanics 14:1, pages 545-565.
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Mohammad Hossein Ahmadi, Milad Sadeghzadeh, Heydar Maddah, Alireza Solouk, Ravinder Kumar & Kwok-wing Chau. (2019) Precise smart model for estimating dynamic viscosity of SiO2/ethylene glycol–water nanofluid. Engineering Applications of Computational Fluid Mechanics 13:1, pages 1095-1105.
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Mohammad Hossein Ahmadi, Behnam Mohseni-Gharyehsafa, Mahmood Farzaneh-Gord, Ravindra D. Jilte, Ravinder Kumar & Kwok-wing Chau. (2019) Applicability of connectionist methods to predict dynamic viscosity of silver/water nanofluid by using ANN-MLP, MARS and MPR algorithms. Engineering Applications of Computational Fluid Mechanics 13:1, pages 220-228.
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Articles from other publishers (10)

Nurafiqah Syahirah Md Ridzwan & Siti Harwani Md. Yusoff. (2023) Machine learning for earthquake prediction: a review (2017–2021). Earth Science Informatics.
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Abrar Khalid Saleem & Ahmed Noori Rashid. Applications of machine learning for earthquake prediction: A review. Applications of machine learning for earthquake prediction: A review.
Usman Wijaya, Kusrini & Alva Hendi Muhammad. (2022) Indonesian Seismic Mitigation using Earthquake Predicted Artificial Intelligence Model. Indonesian Seismic Mitigation using Earthquake Predicted Artificial Intelligence Model.
Ayşe Berika Varol Malkoçoğlu, Zeynep Orman & Ruya Samli. 2022. Analyzing Multidisciplinary Uses and Impact of Innovative Technologies. Analyzing Multidisciplinary Uses and Impact of Innovative Technologies 156 171 .
Parisa Kavianpour, Mohammadreza Kavianpour, Ehsan Jahani & Amin Ramezani. (2021) Earthquake Magnitude Prediction using Spatia-temporal Features Learning Based on Hybrid CNN- BiLSTM Model. Earthquake Magnitude Prediction using Spatia-temporal Features Learning Based on Hybrid CNN- BiLSTM Model.
Kanika Saini, Sheetal Kalra & Sandeep K. Sood. (2021) IoT-Fog-Cloud Centric Earthquake Monitoring and Prediction. ACM Transactions on Embedded Computing Systems 20:6, pages 1-26.
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Mohsen Jami & Alireza Docheshmeh Gorgij. (2021) Using the fuzzy inference system and morphometric indices, in finding the vulnerable areas to the earthquake. Environmental Earth Sciences 80:13.
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Limin Ren, Kun Yu & Yisong Tan. (2020) A Self-Powered Magnetostrictive Sensor for Long-Term Earthquake Monitoring. IEEE Transactions on Magnetics 56:3, pages 1-5.
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Md. Hasan Al Banna, Kazi Abu Taher, M. Shamim Kaiser, Mufti Mahmud, Md. Sazzadur Rahman, A. S. M. Sanwar Hosen & Gi Hwan Cho. (2020) Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges. IEEE Access 8, pages 192880-192923.
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Hojat Mahdisoozani, Mehrdad Mohsenizadeh, Mehdi Bahiraei, Alibakhsh Kasaeian, Armin Daneshvar, Marjan Goodarzi & Mohammad Reza Safaei. (2019) Performance Enhancement of Internal Combustion Engines through Vibration Control: State of the Art and Challenges. Applied Sciences 9:3, pages 406.
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