Institution
Indian Institute of Technology Indore
Education•Indore, Madhya Pradesh, India•
About: Indian Institute of Technology Indore is a education organization based out in Indore, Madhya Pradesh, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1606 authors who have published 4803 publications receiving 66500 citations.
Topics: Computer science, Chemistry, Catalysis, Fading, Raman spectroscopy
Papers published on a yearly basis
Papers
More filters
TL;DR: In this article, the effect of NASICON-type lithium tin zirconium phosphate (LiSnZr(PO4)3) particles added as the ceramic filler to the polyvinylidene difluoride (PVDF) based polymer-ceramic composite electrolytes were fabricated at room temperature via the solution casting method.
45 citations
TL;DR: The developed system is ready to be tested on large and diverse databases and can assist the ophthalmologists in their daily screening to confirm their diagnosis, thereby increasing accuracy of diagnosis.
45 citations
TL;DR: This work has proposed computer assisted diagnosis of CAD using Heart Rate (HR) signals obtained from Electrocardiogram (ECG) signals using the Empirical Mode Decomposition (EMD) technique.
Abstract: Coronary Artery Disease (CAD) is a heart disease caused due to insufficient supply of nutrients and oxygen to the heart muscles. Hence, reduced supply of nutrients and oxygen causes heart attack or stroke and may cause death. Also significant number of people are suffering from CAD around the world so timely diagnosis of CAD can save the life of patients. In this work, we have proposed computer assisted diagnosis of CAD using Heart Rate (HR) signals obtained from Electrocardiogram (ECG) signals. We have used the Empirical Mode Decomposition (EMD) technique to process the HR signals. The features namely: Second-Order Difference Plot (SODP) area, Analytic Signal Representation (ASR) area, Amplitude Modulation (AM) bandwidth, Frequency Modulation (FM) bandwidth and Fourier–Bessel expansion (FBE)- based mean frequency computed from the Intrinsic Mode Functions (IMFs) are extracted to discriminate normal and CAD subjects. Thereafter, Kruskal–Wallis statistical test is performed on these features. The features having p-value less than 0.05 are considered to be significant. Our results show that three features namely: AM bandwidth, FM bandwidth and FBE-based mean frequency are more suitable than ASR area and SODP area features for discrimination of normal and CAD subjects.
45 citations
TL;DR: The results demonstrate that acoustic signals and ANFIS can effectively be utilized to diagnose the condition of the gearbox.
45 citations
TL;DR: In a solid-state crystalline material it shows highly flexible and elastic behavior which on triggering with light results in slight deviation with phase transformation at the Single-Crystal-to-Single-Crystal (SCSC) level.
45 citations
Authors
Showing all 1738 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Raghunath Sahoo | 106 | 556 | 37588 |
| Biswajeet Pradhan | 98 | 735 | 32900 |
| A. Kumar | 96 | 505 | 33973 |
| Franco Meddi | 84 | 476 | 24084 |
| Manish Sharma | 82 | 1407 | 33361 |
| Anindya Roy | 59 | 301 | 14306 |
| Krishna R. Reddy | 58 | 400 | 11076 |
| Sudipan De | 54 | 99 | 10774 |
| Sudip Chakraborty | 51 | 343 | 9319 |
| Shaikh M. Mobin | 51 | 515 | 11467 |
| Ashok Kumar | 50 | 405 | 10001 |
| Ankhi Roy | 49 | 259 | 8634 |
| Aditya Nath Mishra | 49 | 139 | 7607 |
| Ram Bilas Pachori | 48 | 182 | 8140 |
| Pragati Sahoo | 47 | 133 | 6535 |