E-LIB Suche - Ergebnisse für: Chandra, Akshay

1

How Useful Is Image-Based Active Learning for Plant Organ S..:

Rawat, Shivangana ; Chandra, Akshay L. ; Desai, Sai Vikas...
Plant Phenomics. 2022 (2022) - p. , 2022

Link: https://doi.org/10.34133..

2

Active learning with point supervision for cost-effective p..:

Chandra, Akshay L. ; Desai, Sai Vikas ; Balasubramanian, Vineeth N...
Plant Methods. 16 (2020) 1 - p. , 2020

Link: https://doi.org/10.1186/..

3

Estimation of manufacturing systems degradation rate for re..:

Manupati, V K ; Panigrahi, Suraj ; Ahsan, Muneeb...
Sādhanā. 44 (2019) 2 - p. , 2019

Link: https://doi.org/10.1007/..

4

Urokinase Plasminogen Activator Receptor-Mediated Targeting..:

Shahdeo, Deepshikha ; Chandra, Akshay B. ; Gandhi, Sonu
Analytical Chemistry. 93 (2021) 34 - p. 11868-11877 , 2021

Link: https://doi.org/10.1021/..

5

Dengue virus is an under-recognised causative agent of acut..:

Vasanthapuram, Ravi ; Shahul Hameed, Shafeeq Keeran ; Desai, Anita...
International Journal of Infectious Diseases. 84 (2019) - p. S19-S24 , 2019

Link: https://doi.org/10.1016/..

6

Secure Computing of GPS Trajectory Similarity : A Review:

, In: Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks,

Pesara, Akshay Chandra ; Patil, Vikram ; Atrey, Pradeep K. - p. 1-7 , 2018

Link: https://dl.acm.org/doi/1..

7

How Useful Is Image-Based Active Learning for Plant Organ S..:

Rawat, Shivangana ; Chandra, Akshay L ; Desai, Sai Vikas.
http://raiith.iith.ac.in/9876/1/Plant_Phenomics.pdf. , 2022

Link: http://raiith.iith.ac.in..

8

Computer Vision with Deep Learning for Plant Phenotyping in..:

Chandra, Akshay L ; Desai, Sai Vikas ; Guo, Wei.
http://arxiv.org/abs/2006.11391. , 2020

Link: http://arxiv.org/abs/200..

9

Active learning with point supervision for cost-effective p..:

Chandra, Akshay L ; Desai, Sai Vikas ; Balasubramanian, Vineeth N..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060654/. , 2020

Link: http://www.ncbi.nlm.nih...

10

On Initial Pools for Deep Active Learning:

Chandra, Akshay L ; Desai, Sai Vikas ; Devaguptapu, Chaitanya.
http://arxiv.org/abs/2011.14696. , 2020

Link: http://arxiv.org/abs/201..

11

An Adaptive Supervision Framework for Active Learning in Ob..:

Desai, Sai Vikas ; Chandra, Akshay L ; Guo, Wei..
http://arxiv.org/abs/1908.02454. , 2019

Link: http://arxiv.org/abs/190..

12

Active Learning with Point Supervision for Cost-Effective P..:

Chandra, Akshay L ; Desai, Sai Vikas ; Balasubramanian, Vineeth N..
http://arxiv.org/abs/1910.01789. , 2019

Link: http://arxiv.org/abs/191..

13

Estimation of manufacturing systems degradation rate for re..:

Manupati, V. K ; Panigrahi, Suraj ; Ahsan, Muneeb...
0256-2499. , 2019

Link: http://hdl.handle.net/18..

14

Degradation modeling to predict the residual life distribut..:

Chandra, Akshay ; Ahsan, Muneeb ; Lahiri, Somnath...
Chandra , A , Ahsan , M , Lahiri , S , Panigrahi , S , Manupati , V & Costa , E 2017 , Degradation modeling to predict the residual life distribution of parallel unit systems on benchmark instances . in S I Ao , L Gelman , D Hukins , A Hunter & A Korsunsky (eds) , Lecture Notes in Engineering and Computer Science : Proceedings of The World Congress on Engineering 2017 . Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering 2017 (WCE 2017) , vol. II , pp. 783-787 , World Congress on Engineering 2017 , London , United Kingdom , 5/07/17 .. , 2017

Link: https://pure.solent.ac.u..

15

How Useful Is Image-Based Active Learning for Plant Organ S..:

Shivangana Rawat ; Akshay L. Chandra ; Sai Vikas Desai...
http://dx.doi.org/10.34133/2022/9795275. , 2022

Link: https://doi.org/10.34133..