Zobrazeno 1 - 10
of 348
pro vyhledávání: '"Rehman, Mohammad"'
Delivering prompt information and guidance to farmers is critical in agricultural decision-making. Farmers helpline centres are heavily reliant on the expertise and availability of call centre agents, leading to inconsistent quality and delayed respo
Externí odkaz:
http://arxiv.org/abs/2411.08883
Despite growing efforts to halt distasteful content on social media, multilingualism has added a new dimension to this problem. The scarcity of resources makes the challenge even greater when it comes to low-resource languages. This work focuses on p
Externí odkaz:
http://arxiv.org/abs/2410.21321
Publikováno v:
Applied Soft Computing 167PA (2024) 112258
Pediatric pneumonia remains a significant global threat, posing a larger mortality risk than any other communicable disease. According to UNICEF, it is a leading cause of mortality in children under five and requires prompt diagnosis. Early diagnosis
Externí odkaz:
http://arxiv.org/abs/2410.16143
Autor:
Bansal, Shubhi, Gowda, Kushaan, Rehman, Mohammad Zia Ur, Raghaw, Chandravardhan Singh, Kumar, Nagendra
Due to the growing volume of user generated content, hashtags are employed as topic indicators to manage content efficiently on social media platforms. However, finding these vital topics is challenging in microvideos since they contain substantial i
Externí odkaz:
http://arxiv.org/abs/2410.10367
Autor:
Dar, Shahid Shafi, Rehman, Mohammad Zia Ur, Bais, Karan, Haseeb, Mohammed Abdul, Kumara, Nagendra
Publikováno v:
journal={Expert Systems with Applications},pages={125337},year={2024},publisher={Elsevier}
In times of crisis, the prompt and precise classification of disaster-related information shared on social media platforms is crucial for effective disaster response and public safety. During such critical events, individuals use social media to comm
Externí odkaz:
http://arxiv.org/abs/2410.08814
Autor:
Raghaw, Chandravardhan Singh, Sharma, Arnav, Bansal, Shubhi, Rehman, Mohammad Zia Ur, Kumar, Nagendra
Publikováno v:
Computers in Biology and Medicine 179C (2024) 108821
Swift and accurate blood smear analysis is an effective diagnostic method for leukemia and other hematological malignancies. However, manual leukocyte count and morphological evaluation using a microscope is time-consuming and prone to errors. Conven
Externí odkaz:
http://arxiv.org/abs/2410.08797
Autor:
Bansal, Shubhi, A, Sreeharish, J, Madhava Prasath, S, Manikandan, Madisetty, Sreekanth, Rehman, Mohammad Zia Ur, Raghaw, Chandravardhan Singh, Duggal, Gaurav, Kumar, Nagendra
Mamba, a special case of the State Space Model, is gaining popularity as an alternative to template-based deep learning approaches in medical image analysis. While transformers are powerful architectures, they have drawbacks, including quadratic comp
Externí odkaz:
http://arxiv.org/abs/2410.02362
Autor:
Chaudhari, Prasad, Kumar, Aman, Raghaw, Chandravardhan Singh, Rehman, Mohammad Zia Ur, Kumar, Nagendra
Sentiment analysis and emotion recognition in videos are challenging tasks, given the diversity and complexity of the information conveyed in different modalities. Developing a highly competent framework that effectively addresses the distinct charac
Externí odkaz:
http://arxiv.org/abs/2410.12828
The worldwide impact of the recent COVID-19 pandemic has been substantial, necessitating the development of accurate forecasting models to predict the spread and course of a pandemic. Previous methods for outbreak forecasting have faced limitations b
Externí odkaz:
http://arxiv.org/abs/2408.14519
This study explores the semiotic development of Islamic nationalism as a form of political theology during its formative period of 1857-1947 as articulated in the writings of prominent Urdu-speaking theologians. The study presents Islamic nationalism
Externí odkaz:
https://hdl.handle.net/2144/44018