Zobrazeno 1 - 10
of 595
pro vyhledávání: '"Arora Gaurav"'
Autor:
Soy Elsa Maria, Rekha T, Unnikrishnan Bhaskaran, Mithra Prasanna, Kumar Nithin, Joshua Abraham M, Mohamed Fida, Sahni Anjali, Venkatachalam Vedant, Arora Gaurav, Gannu Abhishek, Holla Ramesh
Publikováno v:
Indian Journal of Community Medicine, Vol 49, Iss 7, Pp 63-63 (2024)
Background: School bags serve as a practical means for students to transport essential academic materials and personal items, including food. The significance of school bag weight has garnered increased attention in recent years due to its potential
Externí odkaz:
https://doaj.org/article/c3526703017149b899fafa8fbce384a9
Reasoning and linguistic skills form the cornerstone of human intelligence, facilitating problem-solving and decision-making. Recent advances in Large Language Models (LLMs) have led to impressive linguistic capabilities and emergent reasoning behavi
Externí odkaz:
http://arxiv.org/abs/2410.14235
Intent detection is a critical component of task-oriented dialogue systems (TODS) which enables the identification of suitable actions to address user utterances at each dialog turn. Traditional approaches relied on computationally efficient supervis
Externí odkaz:
http://arxiv.org/abs/2410.01627
Autor:
Sani, Depanshu, Mahato, Sandeep, Saini, Sourabh, Agarwal, Harsh Kumar, Devshali, Charu Chandra, Anand, Saket, Arora, Gaurav, Jayaraman, Thiagarajan
The availability of well-curated datasets has driven the success of Machine Learning (ML) models. Despite greater access to earth observation data in agriculture, there is a scarcity of curated and labelled datasets, which limits the potential of its
Externí odkaz:
http://arxiv.org/abs/2312.00069
Autor:
Arora, Gaurav1,2 (AUTHOR) gaurav@iiitd.ac.in, Feng, Hongli3 (AUTHOR)
Publikováno v:
Scientific Reports. 11/4/2024, Vol. 14 Issue 1, p1-17. 17p.
Autor:
Sani, Depanshu, Mahato, Sandeep, Sirohi, Parichya, Anand, Saket, Arora, Gaurav, Devshali, Charu Chandra, Jayaraman, Thiagarajan, Agarwal, Harsh Kumar
The availability of well-curated datasets has driven the success of Machine Learning (ML) models. Despite the increased access to earth observation data for agriculture, there is a scarcity of curated, labelled datasets, which limits the potential of
Externí odkaz:
http://arxiv.org/abs/2209.12238
Autor:
Sani, Depanshu, Mahato, Sandeep, Sirohi, Parichya, Anand, Saket, Arora, Gaurav, Devshali, Charu Chandra, Jayaraman, T.
The integration of the modern Machine Learning (ML) models into remote sensing and agriculture has expanded the scope of the application of satellite images in the agriculture domain. In this paper, we present how the accuracy of crop type identifica
Externí odkaz:
http://arxiv.org/abs/2205.03104
Autor:
Haack, Lindsey, Das, Nikkan, Hoskoppal, Arvind, DeBrunner, Mark, Alsaied, Tarek, Arora, Gaurav
Publikováno v:
In The Journal of Pediatrics February 2024 265
Publikováno v:
In Journal of Engineering Research April 2024
Autor:
Arora, Gaurav
This paper describes the system submitted to Dravidian-Codemix-HASOC2020: Hate Speech and Offensive Content Identification in Dravidian languages (Tamil-English and Malayalam-English). The task aims to identify offensive language in code-mixed datase
Externí odkaz:
http://arxiv.org/abs/2010.02094