Investigating the cotton ring spun yarn structure using micro computerized tomography and digital image processing techniques von Haleem, Noman, Liu, Xin, Hurren, Christopher, Gordon, Stuart, Najar, Saeed S, Wang, Xungai

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General-purpose AI regulation and the European Union AI Act von Gstrein, Oskar Josef, Haleem, Noman, Zwitter, Andrej

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An online yarn spinning dataset von Haleem, Noman, Bustreo, Matteo, Bue, Alessio Del

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Recent research and developments on yarn hairiness von Haleem, Noman, Wang, Xungai

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A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome von Haleem, Noman, Lundervold, Astri J., Lied, Gülen Arslan, Hillestad, Eline Margrete Randulff, Bjorkevoll, Maja, Bjørsvik, Ben René, Teige, Erica Sande, Brønstad, Ingeborg, Steinsvik, Elisabeth Kjelsvik, Nagaraja, Bharath Halandur, Hausken, Trygve, Berentsen, Birgitte, Lundervold, Arvid

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A computer vision based online quality control system for textile yarns von Haleem, Noman, Bustreo, Matteo, Del Bue, Alessio

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Gut bless you: The microbiota-gut-brain axis in irritable bowel syndrome von Hillestad, Eline Margrete Randulff, van der Meeren, Aina, Nagaraja, Bharat Halandur, Bjørsvik, Ben René, Haleem, Noman, Benitez-Paez, Alfonso, Sanz, Yolanda, Hausken, Trygve, Lied, Gülen Arslan, Lundervold, Arvid, Berentsen, Birgitte

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Yarn Spinning Dataset von Haleem, Noman, Bustreo, Matteo, Del Bue, Alessio

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Predicting the tensile strength of polyester/cotton blended woven fabrics using feed forward back propagation artificial neural networks von Malik, Zulfiqar Ali, Haleem, Noman, Malik, Mumtaz Hasan, Tanwari, Anwaruddin

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Predicting the air permeability of polyester/cotton blended woven fabrics von Haleem, Noman, Malik, Zulfiqar Ali, Malik, Mumtaz Hassan, Hussain, Tanveer, Gillani, Qummer, Rehman, Aisha

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Statistical Model for Predicting Compressed Air Consumption on Air-Jet Looms von Jabbar, Abdul, Ahmed, Shakeel, Hussain, Tanveer, Haleem, Noman, Ahmed, Faheem

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Determining the Light Transmission of Woven Fabrics through Different Measurement Methods and Its Correlation with Air Permeability von Haleem, Noman, Ibrahim, Sayed, Hussain, Tanveer, Jabbar, Abdul, Malik, Mumtaz Hassan, Malik, Zulfiqar Ali

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A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome von Haleem, Noman, Lundervold, Astri J, Lied, Gülen Arslan, Randulff Hillestad, Eline Margrethe, Bjorkevoll, Maja, Bjørsvik, Ben René, Teige, Erica, Brønstad, Ingeborg, Steinsvik, Elisabeth Kjelsvik, Nagaraja, Bharath Halandur, Hausken, Trygve, Jacobsen, Birgitte Berentsen, Lundervold, Arvid

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APPARATUS AND METHOD FOR CONTINUOUS DETECTION OF DEFECTS IN A YARN IN A SPINNING MACHINE von GHILARDI, Renato, ASSENZA, Rosario, BRESCIANINI, Luca, HALEEM, Noman, BUSTREO, Matteo, GIAVARINI, Matteo, DEL BUE, Alessio

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APPARATO E METODO PER LA RILEVAZIONE IN CONTINUO DI DIFETTI IN UN FILO IN UN FILATOIO von BUSTREO, MATTEO, GHILARDI, RENATO, GIAVARINI, MATTEO, DEL BUE, ALESSIO, BRESCIANINI, LUCA, ASSENZA, ROSARIO, HALEEM, NOMAN

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APPARATO E METODO PER LA RILEVAZIONE IN CONTINUO DI DIFETTI IN UN FILO IN UN FILATOIO von Matteo Bustreo, Matteo Giavarini, Rosario Assenza, Noman Haleem, Luca Brescianini, Renato Ghilardi, Alessio Del Bue

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Vorrichtung und Verfahren zur kontinuierlichen Erkennung von Fehlern in einem Garn in einer Spinnmaschine von Assenza, Rosario, Ghilardi, Renato, Bustreo, Matteo, Giavarini, Matteo, Haleem, Noman, Brescianini, Luca, Del Bue, Alessio

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Effect of land use change on climate elasticity of water quality at multiple spatial scales von Khan, Mehran, Khan, Sunaid, Ullah Khan, Afed, Noman, Muhammad, Usama, Muhammad, Ahmad Khan, Fayaz, Haleem, Kashif, Khan, Jehanzeb

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In-House Developed ELISA Indicates High Prevalence of Anti-Echinococcus granulosus IgG in Sheep Population—An Update from Pakistan von Alvi, Mughees Aizaz, Ohiolei, John Asekhaen, Li, Li, Saqib, Muhammad, Hussain, Muhammad Hammad, Tayyab, Muhammad Haleem, Ghafoor, Muzafar, Qamar, Warda, Faridi, Noman Yousaf, Alvi, Anum Aizaz, Fu, Bao-Quan, Yan, Hong-Bin, Jia, Wan-Zhong

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