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Mohammad Hossein Amirhosseini
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2020 – today
- 2024
- [j6]Alireza Valizadeh, Mohammad Hossein Amirhosseini, Yousef Ghorbani:
Predictive precision in battery recycling: unveiling lithium battery recycling potential through machine learning. Comput. Chem. Eng. 183: 108623 (2024) - [j5]Alireza Valizadeh, Mohammad Hossein Amirhosseini:
Machine Learning in Lithium-Ion Battery: Applications, Challenges, and Future Trends. SN Comput. Sci. 5(6): 717 (2024) - [c6]Mohammad Hossein Amirhosseini, Adefemi Lawrence Ayodele, Amin Karami:
Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data. IS 2024: 1-7 - [c5]Avinash Khatri, Jaswinder Lota, Prasanna Nepal, Mohammad Hossein Amirhosseini:
Utilising Machine Learning for Precise State-of-Charge Prediction in Li-Ion Batteries. IS 2024: 1-5 - [c4]Indika Rajakaruna, Mohammad Hossein Amirhosseini, Yang Li, Deepa Jayakody Arachchillage:
AI-Enhanced Prediction of Multi Organ Failure in COVID-19 Patients. IS 2024: 1-6 - 2023
- [j4]Mahdi Jelodari, Mohammad Hossein Amirhosseini, Andrea Giraldez-Hayes:
An AI powered system to enhance self-reflection practice in coaching. Cogn. Comput. Syst. 5(4): 243-254 (2023) - 2022
- [j3]Mohammad Hossein Amirhosseini, Julie A. Wall:
A Machine Learning Approach to Identify the Preferred Representational System of a Person. Multimodal Technol. Interact. 6(12): 112 (2022) - [c3]Hassan B. Kazemian, Mohammad Hossein Amirhosseini, Michael Phillips:
Application of Graph-Based Technique to Identity Resolution. AIAI (1) 2022: 471-482 - 2020
- [j2]Mohammad Hossein Amirhosseini, Hassan B. Kazemian:
Machine Learning Approach to Personality Type Prediction Based on the Myers-Briggs Type Indicator®. Multimodal Technol. Interact. 4(1): 9 (2020) - [c2]Michael Phillips, Mohammad Hossein Amirhosseini, Hassan B. Kazemian:
A Rule and Graph-Based Approach for Targeted Identity Resolution on Policing Data. SSCI 2020: 2077-2083
2010 – 2019
- 2019
- [j1]Mohammad Hossein Amirhosseini, Hassan B. Kazemian:
Automating the process of identifying the preferred representational system in Neuro Linguistic Programming using Natural Language Processing. Cogn. Process. 20(2): 175-193 (2019) - 2018
- [b1]Mohammad Hossein Amirhosseini:
Neuro linguistic programming automation for improvement of organisational performance. London Metropolitan University, UK, 2018 - [c1]Mohammad Hossein Amirhosseini, Hassan B. Kazemian, Karim Ouazzane, Chris Chandler:
Natural Language Processing approach to NLP Meta model automation. IJCNN 2018: 1-8
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last updated on 2024-11-06 20:31 CET by the dblp team
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