Prashant Narayankar
KLE Technological University
8 Papers
4 Citations
Prashant Narayankar is an academic researcher from KLE Technological University. The author has contributed to research in topics: The Internet & Computer science. The author has an hindex of 4, co-authored 8 publications. Previous affiliations of Prashant Narayankar include B.V.B. College of Engineering and Technology.
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Papers
A Comprehensive Evaluation of Cryptographic Algorithms
TL;DR: Cost and performance of popularly used cryptographic algorithms DES, 3DES, AES, RSA, RSA and blowfish are implemented and analyzed in detail to show an overall performance analysis, unlike only theoretical comparisons.
337
Back-Propagation Neural Network Versus Logistic Regression in Heart Disease Classification
Shrinivas D. Desai,Shantala Giraddi,Prashant Narayankar,Neha R. Pudakalakatti,Shreya Sulegaon +4 more
- 01 Jan 2019
TL;DR: Assessment of the accuracy of classification model for the prediction of heart disease for Cleveland dataset is assessed and a comparative study of parametric and nonparametric approach in classifying heart disease is presented.
62
Upsurge of IoT (Internet of Things) in engineering education: A case study
Meenaxi M. Raikar,Padmashree Desai,M. Vijayalakshmi,Prashant Narayankar +3 more
- 01 Sep 2018
TL;DR: The authors use the experience of teaching loT as an elective course and propose a framework for inclusion ofLoT as a course in the undergraduate curriculum, towards building human resources that contribute to the current issues related to smart cities.
24
An efficient method of detecting exudates in diabetic retinopathy: Using texture edge features
Priyadarshini Patil,Pooja Shettar,Prashant Narayankar,Mayur M Patil +3 more
- 01 Sep 2016
TL;DR: This paper proposes a methodology for automatic detection of exudates using Gabor filter texture edge detection based segmentation algorithm and reduces computational complexity by using only Gabor filters tuned to two higher frequencies and four orientations.
20
Augmenting Cloud concepts learning with Open source software environment
Meenaxi M. Raikar,Padmashree Desai,M. Vijayalakshmi,Prashant Narayankar +3 more
- 01 Sep 2018
TL;DR: The authors have put efforts in adoption and usage of cloud computing in undergraduate engineering level by proposing a modified Technology Acceptance Model (TAM), which helped to identify different parameters/attributes to improve academic performance.
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