|
|
|
R.S. Muralitharan, S. Sowmya Ramani, G. Madhumita, M. Srinivasan
|
|
|
|
|
|
|
Elias S. Leggesse, Fasikaw A. Zimale, Dagnenet Sultan, Temesgen Enku, Raghavan Srinivasan and Seifu A. Tilahun
Water quality degradation of freshwater bodies is a concern worldwide, particularly in Africa, where data are scarce and standard water quality monitoring is expensive. This study explored the use of remote sensing imagery and machine learning (ML) algor...
ver más
|
|
|
|
|
|
|
Maruti Kumar Mudunuru, Nishant Panda, Satish Karra, Gowri Srinivasan, Viet T. Chau, Esteban Rougier, Abigail Hunter and Hari S. Viswanathan
In brittle fracture applications, failure paths, regions where the failure occurs and damage statistics, are some of the key quantities of interest (QoI). High-fidelity models for brittle failure that accurately predict these QoI exist but are highly com...
ver más
|
|
|
|
|
|
|
Dervis Emre Demirocak, Sesha S. Srinivasan and Elias K. Stefanakos
Li-ion batteries are the key enabling technology in portable electronics applications, and such batteries are also getting a foothold in mobile platforms and stationary energy storage technologies recently. To accelerate the penetration of Li-ion batteri...
ver más
|
|
|
|
|
|
|
Finbarr G. Horgan, Thanga Suja Srinivasan, Jagadish S. Bentur, Ram Kumar, K. Vasanta Bhanu, Preetinder Singh Sarao, Ho Van Chien, Maria Liberty P. Almazan, Carmencita C. Bernal, Angelee Fame Ramal, Jedeliza B. Ferrater and Shou-Horng Huang
-
|
|
|
|
|
|
|
Manan Singh, Rupesh Gulati, Ravi S. Srinivasan and Mahabir Bhandari
|
|
|
|
|
|
|
Ravi S. Srinivasan, Daniel E. Campbell and Wei Wang
|
|
|
|
|
|
|
B. Cherukuri, R. Srinivasan, S. Tamirisakandala, D.B. Miracle
Pág. 496 - 499
|
|
|
|
|
|
|
Srinivasan, K.; Saxena, S.
Pág. 249 - 253
|
|
|
|
|
|
|
Didem Demirhan, Varghese S. Jacob, and Srinivasan Raghunathan
Pág. 208 - 226
|
|
|
|