Zobrazeno 1 - 10
of 1 184
pro vyhledávání: '"P Tejaswini"'
Publikováno v:
Journal of Horticultural Sciences, Vol 18, Iss 2 (2023)
Genetic diversity of thirty-one genotypes of Chrysanthemum were analysed for various growth and flowering related traits. Analysis of variance revealed significant differences among the genotypes for all the morphological traits studied. The clusteri
Externí odkaz:
https://doaj.org/article/080db438d8084accb8a09354914fc70a
Autor:
A Sumalatha, B R Chandana, L Dedhia, D C Lakshmana Reddy, M Arivalagan, V V Bhaskar, P Tejaswini
Publikováno v:
Journal of Horticultural Sciences, Vol 18, Iss 2 (2023)
The area under marigold cultivation is increasing over the years and so is the demand for marigold seeds. To meet the increasing demand, hybrid varieties are preferred as they produce higher yields, for which the right parental selection is of major
Externí odkaz:
https://doaj.org/article/ab8f2b1611f44153adc81393eff1109a
Publikováno v:
Clinical Dermatology Review, Vol 7, Iss 3, Pp 288-291 (2023)
A 25-year-old female was admitted under Internal medicine for fever and anemia. The patient had a history of fever, joint pain, photosensitivity, and rash over the malar area of the face. On examination, the patient had targetoid lesions over the mal
Externí odkaz:
https://doaj.org/article/7fd15bb58d4d43ba9b9cc5b61667d278
Publikováno v:
Journal of Horticultural Sciences, Vol 18, Iss 1 (2023)
Thirty-one genotypes of chrysanthemum (Dendranthema x grandiflora Tzvelev) were evaluated for nine growth and flowering related traits to assess the genetic variability, correlation and path coefficient analysis. Significant differences among genotyp
Externí odkaz:
https://doaj.org/article/27da3de622f140ec9210063ce7e01dce
Deep neural networks are susceptible to adversarial attacks and common corruptions, which undermine their robustness. In order to enhance model resilience against such challenges, Adversarial Training (AT) has emerged as a prominent solution. Neverth
Externí odkaz:
http://arxiv.org/abs/2410.23142
Autor:
Ko, Ching-Yun, Chen, Pin-Yu, Das, Payel, Mroueh, Youssef, Dan, Soham, Kollias, Georgios, Chaudhury, Subhajit, Pedapati, Tejaswini, Daniel, Luca
Reducing the likelihood of generating harmful and toxic output is an essential task when aligning large language models (LLMs). Existing methods mainly rely on training an external reward model (i.e., another language model) or fine-tuning the LLM us
Externí odkaz:
http://arxiv.org/abs/2410.03818
Autor:
Ashktorab, Zahra, Desmond, Michael, Pan, Qian, Johnson, James M., Cooper, Martin Santillan, Daly, Elizabeth M., Nair, Rahul, Pedapati, Tejaswini, Achintalwar, Swapnaja, Geyer, Werner
Evaluation of large language model (LLM) outputs requires users to make critical judgments about the best outputs across various configurations. This process is costly and takes time given the large amounts of data. LLMs are increasingly used as eval
Externí odkaz:
http://arxiv.org/abs/2410.00873
Autor:
Khatiwada, Aamod, Kokel, Harsha, Abdelaziz, Ibrahim, Chaudhury, Subhajit, Dolby, Julian, Hassanzadeh, Oktie, Huang, Zhenhan, Pedapati, Tejaswini, Samulowitz, Horst, Srinivas, Kavitha
Enterprises have a growing need to identify relevant tables in data lakes; e.g. tables that are unionable, joinable, or subsets of each other. Tabular neural models can be helpful for such data discovery tasks. In this paper, we present TabSketchFM,
Externí odkaz:
http://arxiv.org/abs/2407.01619
Publikováno v:
Health Psychology Research, Vol 9, Iss 1 (2021)
# Introduction Non-communicable diseases, arising out of changing lifestyle habits of people, are the foremost causes of mortality and morbidity worldwide. Most of these diseases occur in low and middle-income countries. Chronic diseases can be mana
Externí odkaz:
https://doaj.org/article/f5a0bc987be24bf0b38468d8537bce60
Estimating uncertainty or confidence in the responses of a model can be significant in evaluating trust not only in the responses, but also in the model as a whole. In this paper, we explore the problem of estimating confidence for responses of large
Externí odkaz:
http://arxiv.org/abs/2406.04370