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Isaac Kofi Nti, Sr.

Personal Details

First Name:Isaac
Middle Name:Kofi
Last Name:Nti
Suffix:Sr.
RePEc Short-ID:pnt14
[This author has chosen not to make the email address public]
https://sites.google.com/view/ntious/home

Affiliation

(50%) University of Energy and Natural Resources (University of Energy and Natural Resources)

http://uenr.edu.gh
Sunyani, Ghana

(50%) University of Cincinnati, School of Information Technology (SoIT) (University of Cincinnati, School of Information Technology)

https://cech.uc.edu/schools/it.html
Cincinnati, Ohio, USA

Research output

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Jump to: Articles

Articles

  1. Isaac Kofi Nti & Adebayo Felix Adekoya & Benjamin Asubam Weyori & Owusu Nyarko-Boateng, 2022. "Applications of artificial intelligence in engineering and manufacturing: a systematic review," Journal of Intelligent Manufacturing, Springer, vol. 33(6), pages 1581-1601, August.
  2. Adebayo Felix Adekoya & Isaac Kofi Nti & Benjamin Asubam Weyori, 2021. "Long Short-Term Memory Network for Predicting Exchange Rate of the Ghanaian Cedi," FinTech, MDPI, vol. 1(1), pages 1-19, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Isaac Kofi Nti & Adebayo Felix Adekoya & Benjamin Asubam Weyori & Owusu Nyarko-Boateng, 2022. "Applications of artificial intelligence in engineering and manufacturing: a systematic review," Journal of Intelligent Manufacturing, Springer, vol. 33(6), pages 1581-1601, August.

    Cited by:

    1. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2025. "Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 61-93, January.
    2. Edoardo Bregolin & Piero Danieli & Massimo Masi, 2024. "Collection Efficiency of Cyclone Separators: Comparison between New Machine Learning-Based Models and Semi-Empirical Approaches," Waste, MDPI, vol. 2(3), pages 1-18, July.
    3. Zhe Li & Kexin Liu & Xudong Wang & Xiaofang Yuan & He Xie & Yaonan Wang, 2025. "A signal-to-image fault classification method based on multi-sensor data for robotic grinding monitoring," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 537-550, January.
    4. Abhilash Puthanveettil Madathil & Xichun Luo & Qi Liu & Charles Walker & Rajeshkumar Madarkar & Yukui Cai & Zhanqiang Liu & Wenlong Chang & Yi Qin, 2024. "Intrinsic and post-hoc XAI approaches for fingerprint identification and response prediction in smart manufacturing processes," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 4159-4180, December.
    5. Murat ÇEMBERCİ & Ercan KARAKEÇE, 2024. "Connecting the Wings of Dynamism: Bibliometric Analysis of Artificial Intelligence and Entrepreneurship Fields," Yildiz Social Science Review, Yildiz Technical University, vol. 10(2), pages 148-157, December .
    6. Guan Wang & Hongwei Xia, 2025. "Event-triggered hierarchical learning control of air-breathing hypersonic vehicles with predefined-time convergence," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 595-618, January.
    7. Chen Luo & Tingxiao Fan & Yan Xia & Yijun Zhou & Lei Jia & Baocheng Hui, 2025. "Deep learning-based conductive particle inspection for TFT-LCDs inspired by parametric space envelope," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 209-219, January.
    8. Iñigo Flores Ituarte & Suraj Panicker & Hari P. N. Nagarajan & Eric Coatanea & David W. Rosen, 2023. "Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 34(1), pages 219-241, January.

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