Zobrazeno 1 - 10
of 1 135
pro vyhledávání: '"Ajitha P"'
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 13, Iss 10, Pp 4730-4733 (2024)
Dyke-Davidoff-Masson syndrome is a rare condition of unknown frequency resulting from brain injury, especially in early life, due to a multitude of causes. We present the case of a 2-year-old, developmentally normal female who presented with one epis
Externí odkaz:
https://doaj.org/article/dc1922e648f24a7c805eb8a5f8c1ad8d
Publikováno v:
E3S Web of Conferences, Vol 491, p 02037 (2024)
In recent days, skin diseases are increased in humans. Skin conditions are brought on by illnesses or germs. The prevalence of certain skin conditions, such as ringworm, yeast infections, allergens, etc., is rising daily. In order to stop the prolife
Externí odkaz:
https://doaj.org/article/38d5a37d26de48518523f2d8ef0ed7c8
The Go programming language has gained significant traction for developing software, especially in various infrastructure systems. Nonetheless, concurrency bugs have become a prevalent issue within Go, presenting a unique challenge due to the languag
Externí odkaz:
http://arxiv.org/abs/2412.08061
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
When deploying Deep Neural Networks (DNNs), developers often convert models from one deep learning framework to another (e.g., TensorFlow to PyTorch). However, this process is error-prone and can impact target model accuracy. To identify the extent o
Externí odkaz:
http://arxiv.org/abs/2306.06157