activity
20152019
most citedStructural Health Monitoring of Cantilever Beam, a Case Study -- Using Bayesian Neural Network AND Deep Learning

12 citations · 15 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2019★ 12 cited

Structural Health Monitoring of Cantilever Beam, a Case Study -- Using Bayesian Neural Network AND Deep Learning

Rahul Vashisht, H. Viji, T. Sundararajan +2

The advancement of machine learning algorithms has opened a wide scope for vibration-based SHM (Structural Health Monitoring). Vibration-based SHM is based on the fact that damage…

physics.flu-dyn2016

Selecting optimal parallel microchannel configurations for active hot spot mitigation of multicore microprocessors in real time

Lakshmi Sirisha Maganti, Purbarun Dhar, T Sundararajan +1

Design of effective micro cooling systems to address the challenges of ever increasing heat flux from microdevices requires deep examination of real time problems and has been tack…

physics.flu-dyn2016★ 2 cited

Thermally smart characteristics of nanofluids in parallel microchannel systems to mitigate hot spots in MEMS

Lakshmi Sirisha Maganti, Purbarun Dhar, T Sundararajan +1

Mitigation of hot spots in MEMS employing in situ microchannel systems requires a comprehensive picture of the maldistribution of the working fluid and uniformity of cooling within…

physics.flu-dyn2015★ 1 cited

Criterion for sliding / rolling characterization during droplet motion over superhydrophobic surfaces

Indrajit P. Wadgaonkar, T. Sundararajan, Sarit K. Das

Super hydrophobic surfaces have been the focus of research in the recent years.One of the reasons for this is the self cleaning property of these surfaces which emerges from the ab…