Institution
Delhi Technological University
Education•New Delhi, India•
About: Delhi Technological University is a education organization based out in New Delhi, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 4427 authors who have published 6761 publications receiving 71035 citations. The organization is also known as: Delhi College of Engineering & DTU.
Topics: Computer science, Control theory, Artificial neural network, Photovoltaic system, Deep learning
Papers published on a yearly basis
Papers
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TL;DR: This paper simulates with micromagnetic framework a spin orbit torque driven domain wall based synaptic device and demonstrates through simulating “on-chip” learning of the designed FCNN on the MNIST database of handwritten digits that the FCNN trains itself in hardware through continuous update of the weights in the synapses.
33 citations
TL;DR: In this article, a long chain trifunctional amine was introduced as a co-reactant in the resin blend, the amount of crosslinker being varied from 0 to 35'mol % (crosslinking density 28−180'mol/m3, affine network model)
33 citations
TL;DR: Efficient spectroscopic values and realizable white lighting in Dy3+-doped ZnBiBaBFTe glasses may have potential applications in laser illumination devices.
33 citations
13 Oct 2011
TL;DR: This paper has used Hadoop, an open source cloud computing environment, to develop a model for iris recognition, a biometric technique, as one of the strongest method of authentication.
Abstract: Cloud computing is one of the highly researched areas today, with an objective of taking advantage of various computational resources. In this paper we have used cloud computing environment with the aim to speed up the matching process of biometric traits. We have used iris recognition, a biometric technique, as it is one of the strongest method of authentication. Also Iris recognition is stable over time. We have used Hadoop [1], an open source cloud computing environment, to develop this model. Hadoop implements Map/Reduce [1] framework in Java. Map/Reduce make easy to process large amount of data on cloud. The results shows that there is an effective speedup and efficiency gain of Iris template matching on Hadoop process over sequential process.
33 citations
TL;DR: In this paper, a novel model, AD prediction model, for anxious depression prediction in real-time tweets is proposed, based on linguistic cues and user posting patterns, the feature set is defined using a 5-tuple vector.
Abstract: Mental well-being and social media have been closely related domains of study. In this research a novel model, AD prediction model, for anxious depression prediction in real-time tweets is proposed. This mixed anxiety-depressive disorder is a predominantly associated with erratic thought process, restlessness and sleeplessness. Based on the linguistic cues and user posting patterns, the feature set is defined using a 5-tuple vector.
33 citations
Authors
Showing all 4530 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Shaji Kumar | 111 | 1265 | 53237 |
| Lars A. Buchhave | 105 | 408 | 46100 |
| Anil Kumar | 99 | 2124 | 64825 |
| Bansi D. Malhotra | 75 | 375 | 19419 |
| C. P. Singh | 68 | 337 | 17448 |
| Ramesh Chandra | 66 | 620 | 16293 |
| Rajiv S. Mishra | 64 | 591 | 22210 |
| William W. Craig | 58 | 316 | 14311 |
| S.G. Deshmukh | 56 | 183 | 11566 |
| Jay Singh | 51 | 301 | 8655 |
| Neeraj Kumar | 50 | 207 | 7670 |
| Erling Halfdan Stenby | 50 | 285 | 8500 |
| Devendra Singh | 49 | 314 | 10386 |
| Federico Calle-Vallejo | 46 | 113 | 11239 |
| Rajesh Singh | 46 | 692 | 10339 |