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pro vyhledávání: '"P., AJITHA"'
This paper proposes a fully explainable approach to speaker verification (SV), a task that fundamentally relies on individual speaker characteristics. The opaque use of speaker attributes in current SV systems raises concerns of trust. Addressing thi
Externí odkaz:
http://arxiv.org/abs/2405.19796
Sentiment analysis has become increasingly important in healthcare, especially in the biomedical and pharmaceutical fields. The data generated by the general public on the effectiveness, side effects, and adverse drug reactions are goldmines for diff
Externí odkaz:
http://arxiv.org/abs/2404.13057
The rapidly advancing field of Explainable Artificial Intelligence (XAI) aims to tackle the issue of trust regarding the use of complex black-box deep learning models in real-world applications. Existing post-hoc XAI techniques have recently been sho
Externí odkaz:
http://arxiv.org/abs/2403.19444
Converting deep learning models between frameworks is a common step to maximize model compatibility across devices and leverage optimization features that may be exclusively provided in one deep learning framework. However, this conversion process ma
Externí odkaz:
http://arxiv.org/abs/2312.15101
The amount of news being consumed online has substantially expanded in recent years. Fake news has become increasingly common, especially in regional languages like Malayalam, due to the rapid publication and lack of editorial standards on some onlin
Externí odkaz:
http://arxiv.org/abs/2310.18263
Autor:
Peng, Chao, Lv, Zhengwei, Fu, Jiarong, Liang, Jiayuan, Zhang, Zhao, Rajan, Ajitha, Yang, Ping
Android Apps are frequently updated to keep up with changing user, hardware, and business demands. Ensuring the correctness of App updates through extensive testing is crucial to avoid potential bugs reaching the end user. Existing Android testing to
Externí odkaz:
http://arxiv.org/abs/2309.01519
Publikováno v:
Measurement Science Review, Vol 24, Iss 4, Pp 118-128 (2024)
Globally, cardiovascular disease kills more than 500000 people every year, thus becoming the primary reason for death. Nevertheless, cardiovascular health monitoring is essential for accurate analysis and therapy of heart disease. In this work, a nov
Externí odkaz:
https://doaj.org/article/8ce30d4232e246fea9b7e5b544ede1be
Publikováno v:
The Egyptian Journal of Bronchology, Vol 18, Iss 1, Pp 1-7 (2024)
Abstract Background Non-resolving pneumonia poses a significant clinical challenge. It is common to treat non-resolving pneumonia over an extended period of time, without evaluating the cause of failure or eliciting the exact aetiology. Objective To
Externí odkaz:
https://doaj.org/article/16cc818b4670489b8aa948fd3b45e11a
Autor:
Rongji Sum, Sylvester Jian Ming Lim, Ajitha Sundaresan, Sudipta Samanta, Muthukaruppan Swaminathan, Wayne Low, Madhumitha Ayyappan, Ting Wei Lim, Marvin Dragon Choo, Gabriel Junming Huang, Ian Cheong
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Clostridium septicum infections are highly predictive of certain malignancies in human patients. To initiate infections, C. septicum spores must first germinate and regain vegetative growth. Yet, what triggers the germination of C. septicum
Externí odkaz:
https://doaj.org/article/05cde37edf0640dba55e059814ad3d24
Publikováno v:
Automatika, Vol 65, Iss 3, Pp 973-982 (2024)
Large amounts of processing resources are required for the sensed raw big data processing during the data generation process. Furthermore, as sensed data are typically privacy sensitive, blockchain technology can be used to ensure the privacy concern
Externí odkaz:
https://doaj.org/article/e014687cada74a00861556d566e1e20f