Zobrazeno 1 - 10
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pro vyhledávání: '"Dhanasekar P"'
While pre-trained large-scale deep models have garnered attention as an important topic for many downstream natural language processing (NLP) tasks, such models often make unreliable predictions on out-of-distribution (OOD) inputs. As such, OOD detec
Externí odkaz:
http://arxiv.org/abs/2210.09132
Autor:
Dhanasekar Divya, Arif Hasan Khan Robin, Lae-Hyeon Cho, Dohyeon Kim, Do-jin Lee, Chang-Kil Kim, Mi-Young Chung
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Background E2F/DP (Eukaryotic 2 transcription factor/dimerization partner) family proteins play an essential function in the cell cycle development of higher organisms. E2F/DP family genes have been reported only in a few plant species. Howe
Externí odkaz:
https://doaj.org/article/41fa396c0c994dba8cb935dab321bb1c
Autor:
Shilpa S. Prabhu, I. N. Aparna, Srinivas Mutalik, Saleemulla Khan, Shobha Kamath, Raghu Radhakrishnan, Dhanasekar Balakrishnan, Ajjappla B. Shreya, Tejal D. Durgekar
Publikováno v:
Beni-Suef University Journal of Basic and Applied Sciences, Vol 13, Iss 1, Pp 1-17 (2024)
Abstract Background The purpose of this study was to evaluate the effect of nanoparticles (NPs) of a plant extract on implant osseointegration in vivo. NPs of the Cissus quadrangularis (CQ) extract were synthesized. Twenty Wistar rats were included i
Externí odkaz:
https://doaj.org/article/68c19d060c5648afbeec0158a0ea482f
Biases in culture, gender, ethnicity, etc. have existed for decades and have affected many areas of human social interaction. These biases have been shown to impact machine learning (ML) models, and for natural language processing (NLP), this can hav
Externí odkaz:
http://arxiv.org/abs/2208.01755
Autor:
Rohan Yatindra Vaidya, Aparna I.N, Dhanasekar Balakrishnan, Hidemi Nakata, Karthik S, Gayathri Krishnamoorthy
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37751- (2024)
There are numerous variables governing the formation of new bone around a dental implant. Of those variables, the implant surface is an important factor influencing the quality of osseointergration. Numerous techniques and materials have been used to
Externí odkaz:
https://doaj.org/article/66118ee947944f39ab6d55b853950049
Autor:
Rani M. Sheela, S. Dhanasekar
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35997- (2024)
The principal motive of this work is to evolve and initiate an extension from interval-valued fuzzy sets to type-2 interval-valued fuzzy sets (T2IVFS) related to weighted aggregation functions containing the Einstein operator. The chief reason for th
Externí odkaz:
https://doaj.org/article/9b90225eac6643d1a2c2736508c22fa5
Numbers are essential components of text, like any other word tokens, from which natural language processing (NLP) models are built and deployed. Though numbers are typically not accounted for distinctly in most NLP tasks, there is still an underlyin
Externí odkaz:
http://arxiv.org/abs/2205.03559
Autor:
Sangeetha Sivakumar, Jaganathan Logeshwaran, Raju Kannadasan, Muhammad Faheem, Dhanasekar Ravikumar
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 3, Pp 835-859 (2024)
Abstract Industry 4.0 is a term used to refer to the fourth industrial revolution, characterized by the introduction of new technologies, such as the Internet of Things, Big Data, and artificial intelligence (AI). As the number of connected devices i
Externí odkaz:
https://doaj.org/article/a3524c3690594bf0b261146fbcdcc330
Publikováno v:
Journal of Materials Research and Technology, Vol 29, Iss , Pp 2458-2467 (2024)
The ceramic particle reinforced Aluminium Matrix Composites (AMCs) lead to a reduction in ductility due to the restricted plastic flow of the matrix. The present work shows an enhancement in tensile properties without considerable loss in ductility b
Externí odkaz:
https://doaj.org/article/21a36bf51edb4ff9a379160538c07b79
Neural machine translation (NMT) systems aim to map text from one language into another. While there are a wide variety of applications of NMT, one of the most important is translation of natural language. A distinguishing factor of natural language
Externí odkaz:
http://arxiv.org/abs/2201.00075