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Application of artificial intelligence techniques for monkeypox: a systematic review
Monkeypox or Mpox is an infectious virus predominantly found in Africa. It has spread to
many countries since its latest outbreak. Symptoms such as headaches, chills, and fever are …
many countries since its latest outbreak. Symptoms such as headaches, chills, and fever are …
A binary waterwheel plant optimization algorithm for feature selection
The vast majority of today's data is collected and stored in enormous databases with a wide
range of characteristics that have little to do with the overarching goal concept. Feature …
range of characteristics that have little to do with the overarching goal concept. Feature …
Waterwheel plant algorithm: a novel metaheuristic optimization method
Attempting to address optimization problems in various scientific disciplines is a
fundamental and significant difficulty requiring optimization. This study presents the …
fundamental and significant difficulty requiring optimization. This study presents the …
[HTML][HTML] Diagnosis of monkeypox disease using transfer learning and binary advanced dipper throated optimization algorithm
The virus that causes monkeypox has been observed in Africa for several years, and it has
been linked to the development of skin lesions. Public panic and anxiety have resulted from …
been linked to the development of skin lesions. Public panic and anxiety have resulted from …
Deep transfer learning approaches for Monkeypox disease diagnosis
Monkeypox has become a significant global challenge as the number of cases increases
daily. Those infected with the disease often display various skin symptoms and can spread …
daily. Those infected with the disease often display various skin symptoms and can spread …
[HTML][HTML] A study of optimization in deep neural networks for regression
Due to rapid development in information technology in both hardware and software, deep
neural networks for regression have become widely used in many fields. The optimization of …
neural networks for regression have become widely used in many fields. The optimization of …
Classification of diabetes using feature selection and hybrid Al-Biruni earth radius and dipper throated optimization
Introduction: In public health, machine learning algorithms have been used to predict or
diagnose chronic epidemiological disorders such as diabetes mellitus, which has reached …
diagnose chronic epidemiological disorders such as diabetes mellitus, which has reached …
Innovative feature selection method based on hybrid sine cosine and dipper throated optimization algorithms
Introduction: In pattern recognition and data mining, feature selection is one of the most
crucial tasks. To increase the efficacy of classification algorithms, it is necessary to identify …
crucial tasks. To increase the efficacy of classification algorithms, it is necessary to identify …
Breast Cancer classification depends on the dynamic Dipper Throated optimization Algorithm
According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …
mortality among women after lung cancer. Women's death rates can be decreased if breast …
Squid game optimizer (SGO): A novel metaheuristic algorithm
Abstract In this paper, Squid Game Optimizer (SGO) is proposed as a novel metaheuristic
algorithm inspired by the primary rules of a traditional Korean game. Squid game is a …
algorithm inspired by the primary rules of a traditional Korean game. Squid game is a …