Folgen
Sreejith Remanan Pushpa
Titel
Zitiert von
Zitiert von
Jahr
Forman curvature for complex networks
RP Sreejith, K Mohanraj, J Jost, E Saucan, A Samal
Journal of Statistical Mechanics: Theory and Experiment 2016 (6), 063206, 2016
1452016
Comparative analysis of two discretizations of Ricci curvature for complex networks
A Samal, RP Sreejith, J Gu, S Liu, E Saucan, J Jost
Scientific reports 8 (1), 8650, 2018
1312018
Systematic evaluation of a new combinatorial curvature for complex networks
RP Sreejith, J Jost, E Saucan, A Samal
Chaos, Solitons & Fractals 101, 50-67, 2017
422017
Discrete Ricci curvatures for directed networks
E Saucan, RP Sreejith, RP Vivek-Ananth, J Jost, A Samal
Chaos, Solitons & Fractals 118, 347-360, 2019
292019
Forman curvature for directed networks
RP Sreejith, J Jost, E Saucan, A Samal
arXiv preprint arXiv:1605.04662, 2016
172016
A non-invasive ultrasensitive diagnostic approach for COVID-19 infection using salivary label-free SERS fingerprinting and artificial intelligence
V Karunakaran, MM Joseph, I Yadev, H Sharma, K Shamna, S Saurav, ...
Journal of Photochemistry and Photobiology B: Biology 234, 112545, 2022
152022
Network approach towards understanding the crazing in glassy amorphous polymers
S Venkatesan, RP Vivek-Ananth, RP Sreejith, P Mangalapandi, ...
Journal of Statistical Mechanics: Theory and Experiment 2018 (4), 043305, 2018
62018
Rapid estimation of the chemical composition of rice straw using FTIR spectroscopy: A chemometric investigation
S RP, M Sankar, RK Sukumaran, S Savithri
Biomass Conversion and Biorefinery, 1-19, 2022
52022
Rapid quantification of lignocellulose composition in rice straw varieties using artificial neural networks and FTIR spectroscopic data
SR Pushpa, RK Sukumaran, S Savithri
Biomass Conversion and Biorefinery, 1-19, 2023
32023
Forman curvature for directed networks. preprint
RP Sreejith
arXiv preprint arXiv:1603.00386, 2016
32016
Robustness of FTIR-based ultrarapid COVID-19 diagnosis using PLS-DA
SR Pushpa, RK Sukumaran, S Savithri
ACS omega 7 (50), 47357-47371, 2022
22022
Infrared-based machine learning models for the rapid quantification of lignocellulosic multi-feedstock composition
SR Pushpa, AA Awoyale, D Lokhat, RK Sukumaran, S Savithri
Bioresource Technology Reports 25, 101747, 2024
2024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–12