Skip to main content

Research Repository

Advanced Search

Prof Mo Saraee's Outputs (7)

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.

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.

A hybrid fused-KNN based intelligent model to access melanoma disease risk using indoor positioning system (2025)
Journal Article

The Indoor Positioning System (IPS) based technology involves the positioning system using sensors and actuators, where the Global Positioning System (GPS) lacks. The IPS system can be used in buildings, malls, parking lots and several other applicat... Read More about A hybrid fused-KNN based intelligent model to access melanoma disease risk using indoor positioning system.