M Quamer Nasim

ORCID: 0009-0003-7336-1018
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Manufacturing Process and Optimization
  • AI in cancer detection
  • Medical Image Segmentation Techniques
  • Image and Object Detection Techniques
  • Industrial Vision Systems and Defect Detection
  • Cell Image Analysis Techniques

National University of Sciences and Technology
2024

Defect detection is very important for guaranteeing the quality and pricing of fabric. A considerable amount fabric discarded as waste because defects, leading to substantial annual losses. While manual inspection has traditionally been norm detection, adopting an automatic defect scheme based on a deep learning model offers timely efficient solution assessing quality. In real-time manufacturing scenarios, datasets lack high-quality, precisely positioned images. Moreover, both plain printed...

10.3390/info15080476 article EN cc-by Information 2024-08-11

Raster well-log images are digital representations of well-logs data generated over the years. well logs represent bitmaps log image in a rectangular array black (zeros) and white dots (ones) called pixels. Experts study raster manually or with software applications that still require tremendous amount manual input. Besides loss thousands person-hours, this process is erroneous tedious. To digitize these logs, one must buy costly digitizer not only time-consuming but also hidden technical...

10.48550/arxiv.2210.05597 preprint EN cc-by-nc-nd arXiv (Cornell University) 2022-01-01
Coming Soon ...