Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Pervaiz Iqbal"'
Publikováno v:
Journal of Fuzzy Extension and Applications, Vol 4, Iss 4, Pp 246-256 (2023)
In this present study, the tumor growth model using the Gompertz equation with the Allee effect is developed under a fuzzy environment using the Generalized Hukuhara Derivative (GHD) approach. To capture the tumor growth patterns with the Allee thres
Externí odkaz:
https://doaj.org/article/83eaa79d7e444a87a7503d4ca3c67728
Publikováno v:
Indian Journal of Public Health, Vol 67, Iss 4, Pp 582-587 (2023)
Background: Cancer incidence rates are rising at an alarming rate in India and are expected to rise by 12% in the next 5 years. Hence, a thorough knowledge of the existing scope of the cancer problem is required to provide an approach for analyzing a
Externí odkaz:
https://doaj.org/article/86c13f4127134b93bb1b4c9d4e419b31
Publikováno v:
IEEE Access, Vol 10, Pp 87900-87910 (2022)
Health mention classification (HMC) involves the classification of an input text as health mention or not. Figurative and non-health mention of disease words makes the classification task challenging. Learning the context of the input text is the key
Externí odkaz:
https://doaj.org/article/41a58e2bd8df4fe1b3a1c302dc970eb6
Publikováno v:
An International Journal of Optimization and Control: Theories & Applications, Vol 12, Iss 2 (2022)
For treating cancer, tumor growth models have shown to be a valuable resource, whether they are used to develop therapeutic methods paired with process control or to simulate and evaluate treatment processes. In addition, a fuzzy mathematical model i
Externí odkaz:
https://doaj.org/article/577da7e9431745ae8bb2c9e9848509eb
Detecting diseases from social media has diverse applications, such as public health monitoring and disease spread detection. While language models (LMs) have shown promising performance in this domain, there remains ongoing research aimed at refinin
Externí odkaz:
http://arxiv.org/abs/2405.01597
There are not many large medical image datasets available. For these datasets, too small deep learning models can't learn useful features, so they don't work well due to underfitting, and too big models tend to overfit the limited data. As a result,
Externí odkaz:
http://arxiv.org/abs/2311.00154
An ever-increasing amount of social media content requires advanced AI-based computer programs capable of extracting useful information. Specifically, the extraction of health-related content from social media is useful for the development of diverse
Externí odkaz:
http://arxiv.org/abs/2310.19057
Health mention classification deals with the disease detection in a given text containing disease words. However, non-health and figurative use of disease words adds challenges to the task. Recently, adversarial training acting as a means of regulari
Externí odkaz:
http://arxiv.org/abs/2204.06337
Health mentioning classification (HMC) classifies an input text as health mention or not. Figurative and non-health mention of disease words makes the classification task challenging. Learning the context of the input text is the key to this problem.
Externí odkaz:
http://arxiv.org/abs/2203.01895
COVID-19 has affected the world economy and the daily life routine of almost everyone. It has been a hot topic on social media platforms such as Twitter, Facebook, etc. These social media platforms enable users to share information with other users w
Externí odkaz:
http://arxiv.org/abs/2106.07344