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Muhammad Ayub Ansari
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A Convolutional Neural Network (CNN) classification to identify the presence of pores in powder bed fusion images
MA Ansari, A Crampton, R Garrard, B Cai, M Attallah
The International Journal of Advanced Manufacturing Technology 120 (7), 5133 …, 2022
322022
A layer-wise surface deformation defect detection by convolutional neural networks in laser powder-bed fusion images
MA Ansari, A Crampton, S Parkinson
Materials 15 (20), 7166, 2022
152022
Understanding e-learners' behaviour using data mining techniques
M Al Fanah, MA Ansari
Proceedings of the 2019 International Conference on Big Data and Education …, 2019
72019
A real-world exploration into clinical outcomes of direct oral anticoagulant dosing regimens in morbidly obese patients using data-driven approaches
EM Nwanosike, W Sunter, MA Ansari, HA Merchant, B Conway, SS Hasan
American Journal of Cardiovascular Drugs 23 (3), 287-299, 2023
32023
Challenges and Possible Solutions to Direct-Acting Oral Anticoagulants (DOACs) dosing in patients with extreme bodyweight and renal impairment
EM Nwanosike, W Sunter, HA Merchant, BR Conway, MA Ansari, ...
American Journal of Cardiovascular Drugs 23 (1), 9-17, 2023
12023
Keyhole Porosity Identification and Localisation via X-Ray Imaging with YOLO
MA Ansari, A Crampton, S Parkinson
IEEE Access, 2024
2024
A real-world exploration into clinical outcomes of direct oral anticoagulant therapy in people with chronic kidney disease: a large hospital-based study
EM Nwanosike, HA Merchant, W Sunter, MA Ansari, BR Conway, ...
Journal of Nephrology, 1-14, 2024
2024
Direct oral anticoagulants and the risk of adverse clinical outcomes among patients with different body weight categories: a large hospital-based study
EM Nwanosike, HA Merchant, W Sunter, MA Ansari, BR Conway, ...
European Journal of Clinical Pharmacology 80 (1), 163-173, 2024
2024
469 Use of data-driven technology to optimise DOACs in morbidly obese patients
EM Nwanosike, W Sunter, MA Ansari, H Merchant, BR Conway, ...
International Journal of Pharmacy Practice 31 (Supplement_1), i20-i21, 2023
2023
The identification of micro-defect anomalies in laser powder bed fusion via deep machine learning models
MA Ansari
University of Huddersfield, 2023
2023
A Layer-Wise Surface Deformation Defect Detection by Convolutional Neural Networks in Laser Powder-Bed Fusion Images. Materials 2022, 15, 7166
MA Ansari, A Crampton, S Parkinson
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
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