Výsledky vyhledávání - "Hesam Jafarian"

Drilling Operations Classification Utilizing Data Fusion and Machine Learning Techniques

Autor: Hesam Jafarian, Marzieh Zare, Jussi-Pekka Lehtinen, Ari Visa, Liisa Aha

Publikováno v: Proceedings of the International Neural Networks Society ISBN: 9783030805678
EANN

Varieties of impediments expose the Mining industry to unexpected equipment failures, high commodity price damages, and various environmental difficulties and safety challenges. Therefore, we are looking for an appropriate approach to mitigate the co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a262e32a0a685a434307c490352d61af
https://doi.org/10.1007/978-3-030-80568-5_32

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Real-Time Manufacturing Drilling Operations Analysis by Utilization of Data-Fusion

Autor: Liisa Aha, Hesam Jafarian, Ville Parssinen, Henri Oksman, Marzieh Zare, Ari Visa

Publikováno v: FUSION

In mining and construction operations, the protection, safety and machinery's lifetime hold a crucial concern that can impose unwelcoming costs on the projects. The motivation behind this work is to deliver a model capable of addressing these apprehe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::39dd9f287f8df6d05de26181c6c704af
https://doi.org/10.23919/fusion45008.2020.9190248

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Improved antifouling and antibacterial properties of forward osmosis membranes through surface modification with zwitterions and silver-based metal organic frameworks

Autor: Mehdi Pejman, Ehsan Zolghadr, Alberto Tiraferri, Ahmad Rahimpour, Mostafa Dadashi Firouzjaei, Milad Rabbani Esfahani, Sadegh Aghapour Aktij, Hesam Jafarian, Marco Sangermano, Parnab Das, Mohtada Sadrzadeh, Ahmad Arabi Shamsabadi, Mark Elliott, Evan K. Wujcik

Publikováno v: Journal of Membrane Science. 611:118352

This study investigates the effect of surface functionalization of a thin-film composite forward osmosis membrane with zwitterions and silver-based metal organic frameworks (Ag-MOFs) to improve the antifouling, anti-biofouling, and antimicrobial acti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa46a2c32ee45085e28aadb7def2baee
https://doi.org/10.1016/j.memsci.2020.118352

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Knowledge-Based Design of Artificial Neural Network Topology for Additive Manufacturing Process Modeling: A New Approach and Case Study for Fused Deposition Modeling

Autor: Hossein Mokhtarian, Hesam Jafarian, Saoussen Dimassi, Gongming Wang, Karl R. Haapala, Azarakhsh Hamedi, Eric Coatanéa, Shahriar Bakrani Balani, Hari P.N. Nagarajan

Publikováno v: Journal of Mechanical Design. 141

Additive manufacturing (AM) continues to rise in popularity due to its various advantages over traditional manufacturing processes. AM interests industry, but achieving repeatable production quality remains problematic for many AM technologies. Thus,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::59708ec904826f8b83042aadc3d370ae
https://doi.org/10.1115/1.4042084

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Knowledge-Based Artificial Neural Network (KB-ANN) in Engineering: Associating Functional Architecture Modeling, Dimensional Analysis and Causal Graphs to Produce Optimized Topologies for KB-ANNs

Autor: Vadim Tsarkov, Di Wu, Siddhant Modi, Gongming Wang, Eric Coatanéa, Hesam Jafarian

Publikováno v: Volume 1B: 38th Computers and Information in Engineering Conference.

This article documents a study on artificial neural networks (ANNs) applied to the field of engineering and more specifically a study taking advantage of prior domain knowledge of engineering systems to improve the learning capabilities of ANNs by re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7a3ee6a3d34c7e8ff49c7f67ce127312
https://doi.org/10.1115/detc2018-85895

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Knowledge-Based Optimization of Artificial Neural Network Topology for Process Modeling of Fused Deposition Modeling

Autor: Eric Coatanéa, Azarakhsh Hamedi, Hesam Jafarian, Hari P.N. Nagarajan, Romaric Prod’hon, Vladislav Nenchev, Shaima Tilouche, Hossein Mokhtarian

Publikováno v: Volume 4: 23rd Design for Manufacturing and the Life Cycle Conference; 12th International Conference on Micro- and Nanosystems.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2f8dab21af6770a8ffc0bb24a51a352
https://doi.org/10.1115/detc2018-86187

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