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A Novel Hybrid Deep Learning Model for Early Detection of Diabetic Retinopathy
(, 2021)
Diabetic retinopathy is one of the most frightening complications of diabetes mellitus affecting the working-age population worldwide leading to irreversible blindness if left untreated. A major challenge is early detection, ...
Improving Student Enrollment Prediction Using Ensemble Classifiers
(2018)
In the recent years, data mining has been utilized in education settings for extracting and manipulating data, and for establishing patterns in order to produce useful information for decision making. There is a growing ...
Discriminative spatial-temporal feature learning for modeling network intrusion detection systems
(Journal of Computer Security, 2023-02)
Increasing interest and advancement of internet and communication technologies have made network security rise as a vibrant research domain. Network intrusion detection systems (NIDSs) have developed as indispensable defense ...