Recent research and developments on yarn hairiness N Haleem, X Wang Textile Research Journal 85 (2), 211-224, 2015 | 92 | 2015 |
Gut bless you: The microbiota-gut-brain axis in irritable bowel syndrome EMR Hillestad, A van der Meeren, BH Nagaraja, BR Bjørsvik, N Haleem, ... World journal of gastroenterology 28 (4), 412, 2022 | 72 | 2022 |
A computer vision based online quality control system for textile yarns N Haleem, M Bustreo, A Del Bue Computers in Industry 133, 103550, 2021 | 27 | 2021 |
Predicting the air permeability of polyester/cotton blended woven fabrics N Haleem, ZA Malik, MH Malik, T Hussain, Q Gillani, A Rehman Fibers and polymers 14, 1172-1178, 2013 | 26 | 2013 |
A comparative study on yarn hairiness results from manual test and two commercial hairiness metres N Haleem, X Wang Journal of the Textile Institute 104 (5), 494-501, 2013 | 16 | 2013 |
Predicting the tensile strength of polyester/cotton blended woven fabrics using feed forward back propagation artificial neural networks ZA Malik, N Haleem, MH Malik, A Tanwari Fibers and Polymers 13, 1094-1100, 2012 | 12 | 2012 |
Investigating the cotton ring spun yarn structure using micro computerized tomography and digital image processing techniques N Haleem, X Liu, C Hurren, S Gordon, SS Najar, X Wang Textile research journal 89 (15), 3007-3023, 2019 | 10 | 2019 |
Determining the light transmission of woven fabrics through different measurement methods and its correlation with air permeability N Haleem, S Ibrahim, T Hussain, A Jabbar, MH Malik, ZA Malik Journal of Engineered Fibers and Fabrics 9 (4), 155892501400900409, 2014 | 9 | 2014 |
Statistical model for predicting compressed air consumption on air-jet looms A Jabbar, S Ahmed, T Hussain, N Haleem, F Ahmed Journal of Engineered Fibers and Fabrics 9 (3), 155892501400900306, 2014 | 8 | 2014 |
Dynamic analysis of spinning triangle geometry part 1: validation of methodology N Haleem, S Gordon, X Liu, C Hurren, X Wang The Journal of The Textile Institute 110 (5), 660-670, 2019 | 5 | 2019 |
Dynamics of spinning triangle geometry and its effects on yarn quality N Haleem Deakin University, 2017 | 3 | 2017 |
Dynamic analysis of spinning triangle geometry part 2: spinning triangle geometry and yarn quality N Haleem, S Gordon, X Liu, C Hurren, X Wang The Journal of The Textile Institute 110 (5), 671-679, 2019 | 2 | 2019 |
An online yarn spinning dataset N Haleem, M Bustreo, A Del Bue Data in brief 44, 108557, 2022 | 1 | 2022 |
High-speed video graphic study of a modified ring spinning system N Haleem 13th Asian Textile Conference, 2015 | 1 | 2015 |
Determination of Twist per Inch Value in Doubled Yarns Using Digital Image Processing Techniques N Haleem in 2nd Int’l Conf. Textile and Clothing, 2009 | 1 | 2009 |
Online Evaluation of Textile Yarn Evenness Using Fast Exposure Imaging and Image Processing Techniques N Haleem, M Bustreo, A Del Bue 2023 7th International Conference on Automation, Control and Robots (ICACR …, 2023 | | 2023 |
A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome N Haleem, AJ Lundervold, GA Lied, EMR Hillestad, M Bjorkevoll, ... Open Research Europe 3, 2023 | | 2023 |
Improving accuracy of machine learning models for diagnosing irritable bowel syndrome through integration of domain knowledge in data preparation phase N Haleem Annual Conference of Norwegian Artificial Intelligence Research Consortium 2022, 2022 | | 2022 |
www. checkibs. com: An online web application for psychosomatic symptoms based evaluation of irritable bowel syndrome using machine learning methods N Haleem, T Hausken United European Gastroenterology Journal 10, 8, 2022 | | 2022 |
A machine learning based investigation into brain-gut axis N Haleem, T Hausken Annual conference of Marie Curie Alumni Association 2022, 2022 | | 2022 |