Dr Sadaqat Rehman's Outputs (4)

A novel data-centric AI approach based on sensitivity and correlation analyses for multi-organ plant disease classification (2025)
Journal Article

With advancements in deep learning (DL), most research on classification problems has focused on developing or modifying DL models, known as model-centric artificial intelligence (AI) approaches. However, this approach is time-consuming and overlooks... Read More about A novel data-centric AI approach based on sensitivity and correlation analyses for multi-organ plant disease classification.

Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN (2025)
Journal Article

The safe operation of gas pipelines is crucial for the safety of residents’ lives and property. However, accurately detecting defects within these gas pipelines is a challenging task. To improve the accuracy of defect detection in pipeline DR images... Read More about Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN.

Gas pipeline defect detection based on improved deep learning approach (2025)
Journal Article
Zhang, T., Ma, C., Liu, Z., ur Rehman, S., Li, Y., & Saraee, M. (2025). Gas pipeline defect detection based on improved deep learning approach. Expert systems with applications, 267, Article 126212. https://doi.org/10.1016/j.eswa.2024.126212

The working conditions of gas pipelines directly impact urban populations and factory operations. However, accurate and rapid detection of gas pipeline defects is challenging. To improve the accuracy of gas pipeline defect detection, we propose an im... Read More about Gas pipeline defect detection based on improved deep learning approach.

Enhancing Infrared Small Target Detection: A Saliency-Guided Multi-Task Learning Approach (2025)
Journal Article

Object detection in infrared images poses a considerable challenge due to its small-scale targets, low contrast and poor signal-to-clutter ratio, often resulting in a high false alarm rate. To improve the detection accuracy on infrared small targets,... Read More about Enhancing Infrared Small Target Detection: A Saliency-Guided Multi-Task Learning Approach.