Institution
M. S. Ramaiah Institute of Technology
About: M. S. Ramaiah Institute of Technology is a based out in . It is known for research contribution in the topics: Feature extraction & Photoluminescence. The organization has 2853 authors who have published 2434 publications receiving 23507 citations.
Papers published on a yearly basis
Papers
More filters
21 Jul 2016
TL;DR: Effective mechanisms have been used for chronic disease prediction by mining the data containing historical health records by using Naïve Bayes, Decision tree, Support Vector Machine, and Artificial Neural Networks for the diagnosis of diabetes and heart disease.
Abstract: In these days, chronic diseases are the imperative reason for death in the world. Therefore, there is a noteworthy increment in consideration being paid to individual wellness as a preventative methodology in healthcare. However, creating and building a prediction model for chronic diseases is an extraordinary change to healthcare technology on the premise of data-analysis and decision-making level. In this paper, effective mechanisms have been used for chronic disease prediction by mining the data containing historical health records. Here, we used Naive Bayes, Decision tree, Support Vector Machine (SVM) and Artificial Neural Networks (ANN) classifiers for the diagnosis of diabetes and heart disease. In this study, we also present comparative study of different classifiers to measure the performance based on accuracy rate.
53 citations
TL;DR: A novel catalyst-free and solvent-free technique for the formation of nano channeled ultrafine carbon tubes (NCUFCTs) and multiwalled carbon nanotubes (MWCNTs) from polyethylene terephthalate (PET) wastes, using rotating cathode arc discharge technique is reported.
52 citations
TL;DR: The phosphor shows a well resolved glow peak at ∼171 °C along with shouldered peak at 223 °C in the higher temperature side and it is observed that TL intensity increase with increase of Pr(3+) concentration, and the TL intensity is found to be increase linearly with increase in γ-dose which is highly useful in radiation dosimetry.
52 citations
TL;DR: In vitro treatment of PSL volatile oil exhibited dose dependent inhibition of colon cancer (SW480) cell proliferation and suppression of Cox-2 and IL-6 expression suggested the potential inhibition of inflammation and activation of apoptosis in human SW480 colon cancer cells.
52 citations
TL;DR: In this article, the authors extracted fibers from different parts of the olive tree (leaves, small and large branches) and characterized their physico-chemical, thermal, and morphological properties using advanced equipment.
Abstract: Nowadays, fibers extracted from natural resources have a wide range of promising applications, including the prospect to be used as reinforcing material in polymer composites. In this context, the purpose of this study has been to extract fibers from different parts of the olive tree (leaves, small and large branches) and characterize their physico-chemical, thermal, and morphological properties using advanced equipment. Olive leaf (OL) fiber showed asymmetrical size distribution, as compared to those extracted from small olive branches (OSS), and big olive branches (OBS). The OL fiber exhibited 64.1% crystallinity, which is lower than that of the OSS fiber—with 65.4% crystallinity. Thermal analysis revealed that the OBS and OSS fibers are more thermally stable, compared to the OL fibers. The obtained results concluded that olive tree fibers can be suitable for being used as reinforcement material to develop polymer composites for various lightweight applications.
52 citations
Authors
Showing all 2853 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Guddadarangavvanahally K. Jayaprakasha | 56 | 218 | 13204 |
| Bhimanagouda S. Patil | 54 | 291 | 8940 |
| Raghu Krishnapuram | 42 | 139 | 10064 |
| B.M. Nagabhushana | 41 | 197 | 5248 |
| M. R. Sanjay | 31 | 131 | 3936 |
| Sriraam Natarajan | 28 | 215 | 3145 |
| Prakash J. Singh | 26 | 77 | 3645 |
| Sunilkumar S. Manvi | 24 | 178 | 2752 |
| Natarajan Sriraam | 23 | 124 | 2151 |
| R. Hari Krishna | 23 | 85 | 1295 |
| Sudhir Krishna | 21 | 57 | 2691 |
| K.N. Chidambara Murthy | 19 | 30 | 2708 |
| G. M. Madhu | 18 | 60 | 904 |
| Kotamballi N. Chidambara Murthy | 18 | 26 | 1795 |
| T.R. Ramamohan | 17 | 55 | 918 |