Institution
Indian Institute of Technology Bombay
Education•Mumbai, India•
About: Indian Institute of Technology Bombay is a education organization based out in Mumbai, India. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 16756 authors who have published 33588 publications receiving 570559 citations.
Topics: Catalysis, Computer science, Thin film, Population, Heat transfer
Papers published on a yearly basis
Papers
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Proceedings Article•
01 Dec 2004TL;DR: Intuitively, a semi-CRF on an input sequence x outputs a "segmentation" of x, in which labels are assigned to segments rather than to individual elements of xi, and transitions within a segment can be non-Markovian.
Abstract: We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semi-CRF on an input sequence x outputs a "segmentation" of x, in which labels are assigned to segments (i.e., subsequences) of x rather than to individual elements xi of x. Importantly, features for semi-CRFs can measure properties of segments, and transitions within a segment can be non-Markovian. In spite of this additional power, exact learning and inference algorithms for semi-CRFs are polynomial-time—often only a small constant factor slower than conventional CRFs. In experiments on five named entity recognition problems, semi-CRFs generally outperform conventional CRFs.
714 citations
TL;DR: A comprehensive model for NBTI phenomena within the framework of the standard reaction–diffusion model is constructed and it is demonstrated how to solve the reaction-diffusion equations in a way that emphasizes the physical aspects of the degradation process and allows easy generalization of the existing work.
710 citations
TL;DR: A review of the reported studies in the area of thermo-elastic and vibration analyses of functionally graded (FG) plates with an emphasis on the recent works published since 1998 is presented in this paper.
695 citations
Betty Abelev1, Luke David Hanratty2, M. Esposito3, Edmundo Javier Garcia-Solis4 +940 more•Institutions (90)
TL;DR: The ALICE experiment at the CERN Large Hadron Collider as mentioned in this paper continuously took data during the first physics campaign of the machine from fall 2009 until early 2013, using proton and lead-ion beams.
Abstract: ALICE is the heavy-ion experiment at the CERN Large Hadron Collider. The experiment continuously took data during the first physics campaign of the machine from fall 2009 until early 2013, using proton and lead-ion beams. In this paper we describe the running environment and the data handling procedures, and discuss the performance of the ALICE detectors and analysis methods for various physics observables.
691 citations
TL;DR: In this paper, the authors used both a thermogravimetric analyser and a packed-bed pyrolyser to investigate the relationship between pyrolyses of isolated biomass components and the composition of the biomass.
673 citations
Authors
Showing all 17055 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Jovan Milosevic | 152 | 1433 | 106802 |
| C. N. R. Rao | 133 | 1646 | 86718 |
| Robert R. Edelman | 119 | 605 | 49475 |
| Claude Andre Pruneau | 114 | 610 | 45500 |
| Sanjeev Kumar | 113 | 1325 | 54386 |
| Basanta Kumar Nandi | 112 | 572 | 43331 |
| Shaji Kumar | 111 | 1265 | 53237 |
| Josep M. Guerrero | 110 | 1197 | 60890 |
| R. Varma | 109 | 497 | 41970 |
| Vijay P. Singh | 106 | 1699 | 55831 |
| Vinayak P. Dravid | 103 | 817 | 43612 |
| Swagata Mukherjee | 101 | 1048 | 46234 |
| Anil Kumar | 99 | 2124 | 64825 |
| Dhiman Chakraborty | 96 | 529 | 44459 |
| Michael D. Ward | 95 | 823 | 36892 |