Institution
Indian Institute of Technology Bhubaneswar
Education•Bhubaneswar, India•
About: Indian Institute of Technology Bhubaneswar is a education organization based out in Bhubaneswar, India. It is known for research contribution in the topics: Large Hadron Collider & Computer science. The organization has 1185 authors who have published 3132 publications receiving 48832 citations.
Papers
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TL;DR: In this article, the mechanical and wear properties enhancement of Al-4.5%Cu alloy reinforced with 5%TiC in-situ metal matrix composite (MMC) through friction stir processing (FSP) techniques was investigated for automobile and aerospace applications.
21 citations
TL;DR: In this paper, a detailed analysis is carried out to understand the changes in rainfall patterns and characteristics at a regional scale on agro-climatic zone basis, in the mid-Mahanadi river basin.
21 citations
TL;DR: This paper presents a video summarization framework based on users emotion while they watch videos by analyzing cerebral activities through Electroencephalogram (EEG) signals, and uses a crowdsourcing model for effective summarization of the videos.
21 citations
TL;DR: In this article, a highly sensitive surface plasmon resonance (SPR) sensor based on channel photonic crystal waveguide (PCW) is proposed, which is based on widely used lithographic and nano-fabrication compatible materials like TiO 2 and SiO 2.
Abstract: A highly sensitive surface plasmon resonance (SPR) sensor based on channel photonic crystal waveguide (PCW) is proposed. The PCW is based on widely used lithographic and nano-fabrication compatible materials like TiO 2 and SiO 2 . Gold has been used as a SPR active metal. By rigorously optimizing the different waveguide parameters, we have shown that there is significant transfer of modal power around phase-matching or resonance wavelength which has been utilized to design a compact and highly sensitive sensor for lab on chip. The ultra narrow width (∼765 pm for an interaction length of 10 mm) of surface plasmon resonance curve and sensitivity as high as 7500 nm-RIU −1 will open a new window for bio-chemical sensing applications.
21 citations
TL;DR: An automated method for quality assessment of electrocardiogram (ECG) signal that not only detects and classifies the ECG noises but also localizes theECG noises which can play a crucial role in extracting reliable clinical features for ECG analysis systems.
21 citations
Authors
Showing all 1220 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Gabor Istvan Veres | 135 | 1349 | 96104 |
| Márton Bartók | 76 | 622 | 26762 |
| Kulamani Parida | 70 | 469 | 19139 |
| Seema Bahinipati | 65 | 526 | 19144 |
| Deepak Kumar Sahoo | 62 | 438 | 17308 |
| Krishna R. Reddy | 58 | 400 | 11076 |
| Ramayya Krishnan | 52 | 195 | 10378 |
| Saroj K. Nayak | 49 | 149 | 8319 |
| Dipak Kumar Sahoo | 47 | 234 | 7293 |
| Ganapati Panda | 46 | 356 | 8888 |
| Raj Kishore | 45 | 149 | 6886 |
| Sukumar Mishra | 44 | 405 | 7905 |
| Mar Barrio Luna | 43 | 179 | 5248 |
| Chandra Sekhar Rout | 41 | 183 | 7736 |
| Subhransu Ranjan Samantaray | 39 | 167 | 4880 |