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T. Srinivas

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Conference Aug 2026

An Intelligent TabNet-based Framework for Phishing Website Detection using URL and Webpage Features

One of the most common cyber security threats today is through phishing websites, which appear legitimate to trick users into providing their details, including login information, banking details, and personal information. The sophistication of phishing attacks has grown and so has the application of machine learning a...

T. Srinivas, T. Shanthi, Chennaiah Kate et al. · 0 citations
Conference Aug 2026

Decoding Learner Trajectories: a Hybrid Deep Ensemble for Dynamic Performance Assessment

The proper profiling of the performance of information technology (IT) staff in adaptive e-learning contexts represents a critical need to the facilitated development of individual skills. Nevertheless, this project is full of problems due to the heterogeneity of the learning behaviour, the high dimensionality of inter...

P. Choudary, I. V. Shashikala, T. Srinivas et al. · 0 citations
Conference Jul 2026

Hybridized Deep Feature Learning for Clinical-Level Differentiation of Pulmonary Infections from Chest Radiographs

Pulmonary infections, especially pneumonia constitute a major worldwide health burden and need early and accurate diagnosis in order to minimize disease severity and death. Chest radiographs are regularly performed for screening of pulmonary infections; however, the interpretation of the radiographs by manual technique...

T. Srinivas, Faaleha Heba Fakruddin, Mettu Jhansi Rani et al. · 0 citations

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