Zobrazeno 1 - 10
of 6 614
pro vyhledávání: '"P．, Nagendra"'
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
Supervised Learning is a way of developing Artificial Intelligence systems in which a computer algorithm is trained on labeled data inputs. Effectiveness of a Supervised Learning algorithm is determined by its performance on a given dataset for a par
Externí odkaz:
http://arxiv.org/abs/2410.19778
The widespread dissemination of false information through manipulative tactics that combine deceptive text and images threatens the integrity of reliable sources of information. While there has been research on detecting fake news in high resource la
Externí odkaz:
http://arxiv.org/abs/2410.10407
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
Future communication systems are anticipated to facilitate applications requiring high data transmission rates while maintaining energy efficiency. Hexagonal quadrature amplitude modulation (HQAM) offers this owing to its compact symbol arrangement w
Externí odkaz:
http://arxiv.org/abs/2410.02661
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
We present a coverage-guided testing algorithm for distributed systems implementations. Our main innovation is the use of an abstract formal model of the system that is used to define coverage. Such abstract models are frequently developed in early p
Externí odkaz:
http://arxiv.org/abs/2410.02307