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Anti-deactivation of zeolite catalysts for residue fluid catalytic cracking
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Perceiving the future trend of Vessel Traffic Flow (VTF) in advance has great application
values in the maritime industry. However, using such big data from the Automatic …
values in the maritime industry. However, using such big data from the Automatic …
Deep learning in the grading of diabetic retinopathy: A review
Diabetic Retinopathy (DR) grading into different stages of severity continues to remain a
challenging issue due to the complexities of the disease. Diabetic Retinopathy grading …
challenging issue due to the complexities of the disease. Diabetic Retinopathy grading …
LBE corrosion fatigue life prediction of T91 steel and 316 SS using machine learning method assisted by symbol regression
S Feng, X Sun, G Chen, H Wu, X Chen - International Journal of Fatigue, 2023 - Elsevier
This study employs machine learning models assisted by symbol regression to achieve
satisfactory corrosion fatigue life prediction for T91 steel and 316L stainless steel (SS) used …
satisfactory corrosion fatigue life prediction for T91 steel and 316L stainless steel (SS) used …
Alzheimer's disease diagnosis via intuitionistic fuzzy random vector functional link network
Alzheimer's disease (AD) is a prominent neurodegenerative disorder, which leads to
memory loss and cognitive impairment. The progression is irreversible and shows atrophies …
memory loss and cognitive impairment. The progression is irreversible and shows atrophies …
Affinity based fuzzy kernel ridge regression classifier for binary class imbalance learning
The class imbalance learning (CIL) problem indicates when one class have very low
proportions of samples (minority class) compared to the other class (majority class). Even …
proportions of samples (minority class) compared to the other class (majority class). Even …
Graph embedded intuitionistic fuzzy random vector functional link neural network for class imbalance learning
The domain of machine learning is confronted with a crucial research area known as class
imbalance (CI) learning, which presents considerable hurdles in the precise classification of …
imbalance (CI) learning, which presents considerable hurdles in the precise classification of …