Haleem, N., Lundervold, A. J., Lied, G. A., Hillestad, E. M. R., Bjorkevoll, M., Bjørsvik, B. R., Teige, E. S., Brønstad, I., Steinsvik, E. K., Nagaraja, B. H., Hausken, T., Berentsen, B. & Lundervold, A., 2023, In: Open Research Europe. 3, 19.

Onderzoeksoutput › › peer review

Online Evaluation of Textile Yarn Evenness Using Fast Exposure Imaging and Image Processing Techniques

Haleem, N., Bustreo, M. & Del Bue, A., 2023, 2023 7th International Conference on Automation, Control and Robots, ICACR 2023. IEEE, blz. 68-72 5 blz. (2023 7th International Conference on Automation, Control and Robots, ICACR 2023).

Onderzoeksoutput › › peer review

A machine learning based investigation into brain-gut axis

Haleem, N. & Hausken, T., 2022.

Onderzoeksoutput ›

An online yarn spinning dataset

Haleem, N., Bustreo, M. & Del Bue, A., okt.-2022, In: Data in brief. 44, 108557 blz.

Onderzoeksoutput › › peer review

Gut bless you: The microbiota-gut-brain axis in irritable bowel syndrome

Hillestad, E. M. R., van der Meeren, A., Nagaraja, B. H., Bjørsvik, B. R., Haleem, N., Benitez-Paez, A., Sanz, Y., Hausken, T., Lied, G. A., Lundervold, A. & Berentsen, B., 28-jan.-2022, In: World Journal of Gastroenterology. 28, 4, blz. 412-431 20 blz.

Onderzoeksoutput › peer review

Improving accuracy of machine learning models for diagnosing irritable bowel syndrome through integration of domain knowledge in data preparation phase

Haleem, N., 2022.

Onderzoeksoutput ›

www.checkibs.com: An online web application for psychosomatic symptoms based evaluation of irritable bowel syndrome using machine learning methods

Haleem, N. & Hausken, T., 2022.

Onderzoeksoutput ›

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