Role of Feature Selection in Cross Project Software Defect Prediction-A Review

MS Saeed - International Journal of Computations, Information …, 2023 - journals.gaftim.com
Software Defect Prediction (SDP) is crucial for enhancing software quality and minimizing
issues after release. The advent of machine learning, particularly in Cross-Project Defect …

Cross Project Software Defect Prediction Using Machine Learning: A Review

MS Saeed, M Saleem - … Journal of Computational and Innovative Sciences, 2023 - ijcis.com
Software defect prediction is a crucial area of study focused on enhancing software quality
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …

Software defect prediction using an intelligent ensemble-based model

M Ali, T Mazhar, Y Arif, S Al-Otaibi, YY Ghadi… - IEEE …, 2024 - ieeexplore.ieee.org
Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

A Classification Framework for Diabetic Retinopathy Detection Using Transfer Learning

S Akhtar, S Aftab, M Ahmad… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy is a serious eye condition resulting from long-term diabetes mellitus
that can lead to permanent blindness if not treated on time. Early detection can reduce the …

A Transfer Learning Based Framework for Diabetic Retinopathy Detection Using Data Fusion

S Akhtar, S Aftab, M Ahmad… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Diabetic retinopathy is a condition associated with diabetes that damages the blood vessels
within the retina resulting in vision impairment or even blindness. Early detection and …

Data Fusion Based Ensemble Transfer Learning Approach to Detect Diabetic Retinopathy

B Ihnaini, S Akhtar, M Ahmad… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Diabetic retinopathy is an eye disease damaging the blood vessels of retina as a result of
long term diabetes. In this research, an ensemble classification system is proposed by …