Zobrazeno 1 - 10
of 33
pro vyhledávání: '"K Anusree"'
Autor:
Khushbu Islam, John Momo, Abdul Rawoof, Archa Vijay, V. K. Anusree, Ajay Kumar, Nirala Ramchiary
Publikováno v:
Smart Plant Breeding for Vegetable Crops in Post-genomics Era ISBN: 9789811953668
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78205069574cf1a01211e258d4c5edd6
https://doi.org/10.1007/978-981-19-5367-5_12
https://doi.org/10.1007/978-981-19-5367-5_12
Publikováno v:
Multimedia Tools & Applications; Sep2023, Vol. 82 Issue 23, p36379-36393, 15p
Autor:
Kavya S. Pillai, Devanathan Perumal, P K Anusree Krishna, Gowtham Raj, Murali Golla, Reji Varghese
Publikováno v:
Organic & Biomolecular Chemistry. 19:2804-2810
Targeted photodynamic therapy (PDT) is one of the promising approaches for the selective killing of cancerous cells without affecting the normal cells, and hence designing new strategies for targeted PDT is extremely important. Herein we report the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fab3dfa069c3d43f16fdfec4fd29c4ca
https://doi.org/10.1039/d1ob00002k
https://doi.org/10.1039/d1ob00002k
Publikováno v:
2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4413d8ef9b2d9d0ea7deadc58d100d67
https://doi.org/10.1109/aisp53593.2022.9760670
https://doi.org/10.1109/aisp53593.2022.9760670
Publikováno v:
Handbook of Deep Learning in Biomedical Engineering and Health Informatics ISBN: 9781003144694
Handbook of Deep Learning in Biomedical Engineering and Health Informatics
Handbook of Deep Learning in Biomedical Engineering and Health Informatics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d994bc75333ae30994f0702e0bad3b8
https://doi.org/10.1201/9781003144694-1
https://doi.org/10.1201/9781003144694-1
Autor:
Soumya Sagar, Nithiyanandan Krishnan, Swathi Vanaja Chandrasekharan, Gowtham Raj, Siriki Atchimnaidu, Suresh Das, Reji Varghese, P K Anusree Krishna
Publikováno v:
RSC advances. 11(32)
Two-component organogels offer several advantages over one-component gels, but their design is highly challenging. Hence, it is extremely important to design new approaches for the crafting of two-component organogels with interesting optical and mec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::728768c6f28efd3f09c0f2f6d5a6b0d7
https://pubmed.ncbi.nlm.nih.gov/35479242
https://pubmed.ncbi.nlm.nih.gov/35479242
Autor:
J. Amudha, K. Anusree
Publikováno v:
Computational Vision and Bio-Inspired Computing ISBN: 9783030372170
This paper presents a comparison of event detection task in eye movement with the exact events recorded from eye tracking device. The primary goal of this research work is to build a general approach for eye-movement based event detection, which will
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88031fc0b8bfaacfc76043fe7f7987c3
https://doi.org/10.1007/978-3-030-37218-7_98
https://doi.org/10.1007/978-3-030-37218-7_98
Autor:
Shwetha G. Bhat, V. K. Anusree, Aditya A. Wagh, Gangadhar Das, P. Neenu Lekshmi, P. N. Santhosh
Publikováno v:
Journal of Applied Physics. 127:194105
HoCrO3, a member of the rare-earth chromate family, is known to exhibit an orthorhombic structure with Pbnm space group in bulk at room temperature. We have employed the pressure driven powder consolidation technique, spark plasma sintering, for synt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::072d3320b2838b409b7fa0979f5e2495
https://doi.org/10.1063/1.5144227
https://doi.org/10.1063/1.5144227
Publikováno v:
ICACCI
Last decade had witnessed the utilization of automated help desk systems to enhance customer experience. Since customer satisfaction through better support is pivotal to the growth and reputation of every organization, help desk systems received sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::443777b91edf3ece502472317cd23e71
https://doi.org/10.1109/icacci.2018.8554532
https://doi.org/10.1109/icacci.2018.8554532
Autor:
K. Anusree, K.O. Varghese
Publikováno v:
Procedia Technology. 24:101-108
For the planning, design and management of water resources systems, streamflow forecasting is important. The use of artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS) and multiple nonlinear regression (MNLR) for predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a4d15e5432bb6877ea18ce44023203d
https://doi.org/10.1016/j.protcy.2016.05.015
https://doi.org/10.1016/j.protcy.2016.05.015