Research and Journal Publications

Ramalingaswamy, Pradeep Nalluri, et al., A Bi-Level Cascaded Ensemble Framework for Effective Disease Diagnosis.

• Proposed a 2-level ensemble framework by combining RBFN, PNN, SVM, and logistic regression.

• The proposed model is validated using the benchmark type-2 Diabetes dataset called Pima Indian Diabetes dataset and the Statlog Heart disease dataset.

• Tools: Python, Scikit Learn

Mahipal Jetta, Pradeep Nalluri, et al., "Fourth Order Nonlinear Diffusion Filters for Multiplicative Noise Removal"

• This paper proposes two fourth-order nonlinear diffusion filters, an isotropic filter, and an anisotropic filter, which do not allow these artifacts.

• Through numerical simulations, it is shown that the proposed isotropic filter produces the filtered image in a relatively shorter time, with noticeable improvement in the quality.

• Tools: MATLAB

Ramalingaswamy, Pradeep Nalluri, et al., "Survey on rule extraction algorithms: A case study 18– on Diabetes Data"

• In the literature, there are many such decision support systems available. In this paper, we are presenting the performance of such systems and this helps the researchers working in this field

• Tools: Python, Scikit-Learn