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Torsha Banerjee, Ph.D. - Publications

Affiliations: 
2008 University of Cincinnati, Cincinnati, OH 
Area:
Remote Sensing
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7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Parmar HS, Assaiya A, Agrawal R, Tiwari S, Mufti I, Jain N, Manivannan E, Banerjee T, Kumar A. Inhibition of Aβ (1-42) oligomerization, fibrillization and acetylcholinesterase activity by some anti-inflammatory drugs: An in vitro study. Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry. PMID 28034279 DOI: 10.2174/1871523015666161229143936  0.337
2015 Banerjee T, Veeravalli VV. Data-Efficient Minimax Quickest Change Detection in a Decentralized System Sequential Analysis. 34: 148-170. DOI: 10.1080/07474946.2015.1030971  0.332
2013 Banerjee T, Veeravalli VV. Data-efficient quickest change detection in distributed and multi-channel systems Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3952-3956. DOI: 10.1109/ICASSP.2013.6638400  0.301
2013 Banerjee T, Iyer SK. Limit laws for coverage in backbone-sensor networks Stochastics. 85: 98-110. DOI: 10.1080/17442508.2011.651218  0.31
2008 Banerjee T, Xie B, Agrawal DP. Fault tolerant multiple event detection in a wireless sensor network Journal of Parallel and Distributed Computing. 68: 1222-1234. DOI: 10.1016/J.Jpdc.2008.04.009  0.541
2007 Banerjee T, Chowdhury KR, Agrawal DP. Using polynomial regression for data representation in wireless sensor networks: Research Articles International Journal of Communication Systems. 20: 829-856. DOI: 10.1002/Dac.V20:7  0.562
2007 Banerjee T, Chowdhury KR, Agrawal DP. Using polynomial regression for data representation in wireless sensor networks International Journal of Communication Systems. 20: 829-856. DOI: 10.1002/Dac.847  0.562
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