Zobrazeno 1 - 10
of 291
pro vyhledávání: '"Deepa Gupta"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract In the domain of natural language processing, the rise of Large Language Models and Generative AI represents a noteworthy transition, enabling machines to understand and generate text resembling that produced by humans. This research conduct
Externí odkaz:
https://doaj.org/article/62ad1321264b484f962fd8e2ec1a7266
Publikováno v:
IEEE Access, Vol 12, Pp 134379-134410 (2024)
A suprasellar lesion is an unusual mass in the suprasellar region in the brain. Some common suprasellar lesions include Pituitary Adenoma, Craniopharyngioma and Meningioma. Patients may present with significant visual and other symptoms like headache
Externí odkaz:
https://doaj.org/article/ff2827e5c8854a0f99f2cb36d70f6bdc
Publikováno v:
IEEE Access, Vol 11, Pp 138375-138398 (2023)
We propose a novel approach that uses semi-supervised learning to extract triplets from domain-specific texts and create a Knowledge Graph (KG), with a focus on the agricultural domain. Building domain specific knowledge graphs can be challenging due
Externí odkaz:
https://doaj.org/article/985cc49512034479ae8bc97c33757601
Autor:
Susmitha Vekkot, Nagulapati Naga Venkata Sai Prakash, Thirupati Sai Eswar Reddy, Satwik Reddy Sripathi, S. Lalitha, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi
Publikováno v:
IEEE Access, Vol 11, Pp 130697-130718 (2023)
The paper describes the creation, analysis and validation of a multilingual Dementia Speech dataset for Indic languages. Three popular Indian languages viz. Telugu, Tamil and Hindi are considered for the pilot study. Dementia and associated Alzheimer
Externí odkaz:
https://doaj.org/article/7b3d6ad72e654db7ba45ac10bbf93507
Publikováno v:
International Journal of Applied Mechanics and Engineering, Vol 27, Iss 2, Pp 53-76 (2022)
We have studied the problem of homogenous, isotropic non-local couple stress micropolar thermoelastic solid in the absence of body forces, couple density and heat resources. The reflection and transmission of waves at the interface of two distinct me
Externí odkaz:
https://doaj.org/article/19b0bbbbe93943658797dc1fa819c7c3
Autor:
Nada M. Elfatih, Mohammad Kamrul Hasan, Zeinab Kamal, Deepa Gupta, Rashid A. Saeed, Elmustafa Sayed Ali, Md. Sarwar Hosain
Publikováno v:
IET Communications, Vol 16, Iss 5, Pp 400-420 (2022)
Abstract The Internet of Vehicles (IoV) and Vehicle‐to‐Everything (V2X) concept have emerged from IoT technology, which refers to connecting many vehicles with various applications to the internet. The 5G new radio is based on a cloud‐radio acc
Externí odkaz:
https://doaj.org/article/f29fb0c16c3d4da79940295ea4a46af5
Publikováno v:
Sensors, Vol 23, Iss 8, p 4078 (2023)
(1) Background: The correlations between brain connectivity abnormality and psychiatric disorders have been continuously investigated and progressively recognized. Brain connectivity signatures are becoming exceedingly useful for identifying patients
Externí odkaz:
https://doaj.org/article/c72d1294d0444a96a52041c960601baf
Publikováno v:
IEEE Access, Vol 9, Pp 4688-4710 (2021)
An algorithm for a potentially non-obtrusive speech production system was developed and characterized. The algorithm is primarily based on the articulation of the human tongue referred as tongue articulatory system (TAS) and was cascaded with a previ
Externí odkaz:
https://doaj.org/article/6c83104535474e11a3079a38cfb7c754
Publikováno v:
IEEE Access, Vol 8, Pp 74627-74647 (2020)
We propose a hybrid network-based learning framework for speaker-adaptive vocal emotion conversion, tested on three different datasets (languages), namely, EmoDB (German), IITKGP (Telugu), and SAVEE (English). The optimized learning model introduced
Externí odkaz:
https://doaj.org/article/04a867462f254e07ac2e5b2cf5a81e5e
Autor:
Swati Sanagar, Deepa Gupta
Publikováno v:
IEEE Access, Vol 8, Pp 118050-118071 (2020)
Sentiment lexicon learning is of paramount importance in sentiment analysis. One of the most considerable challenges in learning sentiment lexicons is their domain-specific behavior. Transferring knowledge acquired from a sentiment lexicon from one d
Externí odkaz:
https://doaj.org/article/ddadf60eb200435186fb1ec6fc4a2fa1