Zobrazeno 1 - 10
of 358
pro vyhledávání: '"Mukku, P"'
Businesses can benefit from customer feedback in different modalities, such as text and images, to enhance their products and services. However, it is difficult to extract actionable and relevant pairs of text segments and images from customer feedba
Externí odkaz:
http://arxiv.org/abs/2410.09999
Summarizing customer feedback to provide actionable insights for products/services at scale is an important problem for businesses across industries. Lately, the review volumes are increasing across regions and languages, therefore the challenge of a
Externí odkaz:
http://arxiv.org/abs/2410.09991
Page Stream Segmentation (PSS) is an essential prerequisite for automated document processing at scale. However, research progress has been limited by the absence of realistic public benchmarks. This paper works towards addressing this gap by introdu
Externí odkaz:
http://arxiv.org/abs/2408.11981
Autor:
Mukku, Sandeep Sricharan, Soni, Manan, Rana, Jitenkumar, Aggarwal, Chetan, Yenigalla, Promod, Patange, Rashmi, Mohan, Shyam
We propose InsightNet, a novel approach for the automated extraction of structured insights from customer reviews. Our end-to-end machine learning framework is designed to overcome the limitations of current solutions, including the absence of struct
Externí odkaz:
http://arxiv.org/abs/2405.07195
This work was completed in May 2022. For safe and reliable deployment of language models in the real world, testing needs to be robust. This robustness can be characterized by the difficulty and diversity of the test cases we evaluate these models on
Externí odkaz:
http://arxiv.org/abs/2310.00892
Publikováno v:
Indian Journal of Psychological Medicine, Vol 46 (2024)
Externí odkaz:
https://doaj.org/article/c9b6a668189f4115ba7895f23c70d3de
Autor:
Lalasa Mukku, Jyothi Thomas
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 10, Iss 2, Pp 317-332 (2024)
Cervical cancer poses a significant threat to women's health in developing countries, necessitating effective early detection methods. In this study, we introduce the Colposcopic Multimodal Temporal Convolution Neural Network (CMT-CNN), a novel model
Externí odkaz:
https://doaj.org/article/e41c89eaddf7425198c2066be5e734ed
Publikováno v:
Journal of Urban Mobility, Vol 6, Iss , Pp 100084- (2024)
The field of transportation has undergone changes due to the advancements in technology and the pressing need for mobility solutions. As cities worldwide struggle with the challenges posed by population growth and environmental sustainability, it bec
Externí odkaz:
https://doaj.org/article/ad9bc53a80454e818b6a5141f0bc7a37
Autor:
Chandrakala Mukku, Miriala Santhosh
Publikováno v:
Measurement: Sensors, Vol 32, Iss , Pp 101059- (2024)
The domain of pattern recognition has experienced a notable upsurge in the prevalence of handwritten character recognition, which is a research area that has been widely recognized for decades.However, this task presents significant challenges, espec
Externí odkaz:
https://doaj.org/article/ccb8a0fa3f734379963f20aff9cd997e
Autor:
Lalasa Mukku, Jyothi Thomas
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 9, Iss 3, Pp 502-523 (2023)
Cervical cancer ranks as the fourth most prevalent malignancy among women globally. Timely identification and intervention in cases of cervical cancer hold the potential for achieving complete remission and cure. In this study, we built a deep learni
Externí odkaz:
https://doaj.org/article/56f67de54ab34003ac1e6c1c78bd902d