Zobrazeno 1 - 10
of 27
pro vyhledávání: '"P. Ram Mohan Rao"'
Autor:
Purbey, Jebish, Pullakhandam, Siddartha, Mehreen, Kanwal, Arham, Muhammad, Sharma, Drishti, Srivastava, Ashay, Kadiyala, Ram Mohan Rao
This paper presents a detailed system description of our entry for the CHiPSAL 2025 shared task, focusing on language detection, hate speech identification, and target detection in Devanagari script languages. We experimented with a combination of la
Externí odkaz:
http://arxiv.org/abs/2411.06850
Autor:
Kadiyala, Ram Mohan Rao
With increasing usage of generative models for text generation and widespread use of machine generated texts in various domains, being able to distinguish between human written and machine generated texts is a significant challenge. While existing mo
Externí odkaz:
http://arxiv.org/abs/2410.16659
Social media is a great source of data for users reporting information and regarding their health and how various things have had an effect on them. This paper presents various approaches using Transformers and Large Language Models and their ensembl
Externí odkaz:
http://arxiv.org/abs/2410.15998
Autor:
Kadiyala, Ram Mohan Rao, Pullakhandam, Siddartha, Mehreen, Kanwal, Tippareddy, Subhasya, Srivastava, Ashay
This paper presents our system description and error analysis of our entry for NLLP 2024 shared task on Legal Natural Language Inference (L-NLI) \citep{hagag2024legallenssharedtask2024}. The task required classifying these relationships as entailed,
Externí odkaz:
http://arxiv.org/abs/2410.15990
Autor:
Kadiyala, Ram Mohan Rao
This paper presents a detailed system description of our entry for the WASSA 2024 Task 2, focused on cross-lingual emotion detection. We utilized a combination of large language models (LLMs) and their ensembles to effectively understand and categori
Externí odkaz:
http://arxiv.org/abs/2410.15974
Publikováno v:
Journal of Big Data, Vol 5, Iss 1, Pp 1-12 (2018)
Abstract Incredible amounts of data is being generated by various organizations like hospitals, banks, e-commerce, retail and supply chain, etc. by virtue of digital technology. Not only humans but machines also contribute to data in the form of clos
Externí odkaz:
https://doaj.org/article/ac58fba60eae40c28a7c7f51ae872064
Publikováno v:
Journal of King Saud University: Engineering Sciences, Vol 29, Iss 4, Pp 400-406 (2017)
In a quest to ensure sustainability of the future generation, various research attempts are focusing on the use of alternative materials for construction. In this study, bamboo strips were used as reinforcement in a concrete that was made with supple
Externí odkaz:
https://doaj.org/article/cd0165a78746492ebc90c7f9d97af75f
This proposed model introduces novel deep learning methodologies. The objective here is to create a reliable intrusion detection mechanism to help identify malicious attacks. Deep learning based solution framework is developed consisting of three app
Externí odkaz:
http://arxiv.org/abs/2310.16380
Publikováno v:
Measurement: Sensors, Vol 30, Iss , Pp 100924- (2023)
This proposed model introduces novel deep learning methodologies. The objective here is to create a reliable intrusion detection mechanism to help identify malicious attacks. Deep learning based solution framework is developed consisting of three app
Externí odkaz:
https://doaj.org/article/48bff2cb0ccb4e57b73f3738838660dd
Autor:
Chinmaya Keshari Sahoo, Nalini Kanta Sahoo, Surepalli Ram Mohan Rao, Muvvala Sudhakar, Kokkula Satyanarayana
Publikováno v:
Bulletin of Faculty of Pharmacy Cairo University, Vol 53, Iss 2, Pp 195-205 (2015)
Conventional drug delivery system provides an immediate release of drug which does not control the release of the drug and does not maintain effective concentration at target site for a longer period of time. Hence to avoid the shortcomings there is
Externí odkaz:
https://doaj.org/article/3c8225adc0af41a5b75268cc60f062ab