Narendra Kumar
Delhi Technological University
57 Papers
121 Citations
Narendra Kumar is an academic researcher from Delhi Technological University. The author has contributed to research in topics: Computer science & AC power. The author has an hindex of 10, co-authored 37 publications. Previous affiliations of Narendra Kumar include IMS Engineering College & Defense Information Systems Agency.
Chat about Author
Papers
Isolation and screening of soil Actinomycetes as source of antibiotics active against bacteria
TL;DR: Fifteen actinomycetes isolate which exhibited antimicrobial activity against at least two of the test organisms and were characterized by conventional methods showed activity against bacteria in which most of them from wasteland alkaline soil where the less interference by human for agriculture or other purpose.
Evaluation of protective efficacy of Spirulina platensis against collagen-induced arthritis in rats.
TL;DR: S. platensis (400 mg kg−1) significantly normalizes changes observed in arthritic rats to near normal conditions, indicates that S.platensis has promising protective efficacy against CIA rats.
65
An Improved Nonlinear Flux Observer Based Sensorless FOC IM Drive With Adaptive Predictive Current Control
TL;DR: Smooth starting, reduced oscillations in speed and flux at low speed operation, fast speed and torque dynamics, robust operation of drive against load and variation in stator resistance, fast and smooth speed reversal are the main advantages of the proposed method over classical PCC-based DFOC IM drive.
51
Proceedings Article
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages
Sumanth Doddapaneni,Rahul Aralikatte,Gowtham Ramesh,Shreyansh Goyal,Mitesh M. Khapra,Anoop Kunchukuttan,Narendra Kumar +6 more
- 11 Dec 2022
TL;DR: IndicBERT as discussed by the authors is the first effort towards creating a standard benchmark for Indic languages that aims to test the multilingual zero-shot capabilities of pretrained language models.
44
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
Jay P. Gala,P. Chitale,AK Raghavan,Sumanth Doddapaneni,Varun Gumma,Ratish Puduppully,Vivek Raghavan,Narendra Kumar,Mitesh M. Khapra,Raj Dabre,Anoop Kunchukuttan +10 more
TL;DR: IndicTrans2 as mentioned in this paper is the first model to support all 22 scheduled Indian languages, surpassing existing models on multiple existing and new benchmarks created as a part of this work.
43