Fuzzy logic systems (FLS), composed of IF-THEN rules with linguistic terms mimicking human thought [25], is one of the research areas that contemplates the XAI principles. FLS has a wide range of approaches to nonlinear systems, primarily in terms of interpretability, whether related to the co...
The ShuffleNet technique is also employed for feature extraction, with hyperparameters tuned via the EPOA method, and an adaptive neuro-fuzzy inference system (ANFIS) is utilized for the classification and detection of MN. In21, vision transformer-based nuclei classification is proposed. Vision ...
In this work, based an R Studio and Python Colab software using random forest, SVM, C5.0, decision tree classification algorithm, C4.5, ANN, neuro-fuzzy systems, classification and clustering, CNN, RNN, MLP is used to predict multiple machine and deep learning techniques, discover an early ...
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We also found that age, chloride ion concentration, pH and oxygen saturation should be investigated further for connection with developing sepsis. Interpretation mechanisms can bolster the incorporation of state-of-the-art machine learning models into clinical decision support systems, and might help ...
(2021) attempted to solve the issue of typical offline neuro-fuzzy systems needing training data to fully reflect all system behaviors, which may be challenging owing to dramatic swings in data distributions. The authors developed a unique technique that combines a neuro-fuzzy system with the ...
His research interests include machine learning and data mining, data preparation in knowledge discovery and data mining, missing values, noisy data, data complexity and fuzzy systems. Dr. Luengo has been given some awards and honors for his personal work or for his publications in and conferences...
In addition, the heart rate variability (HRV) derived from an ECG is regulated by the central nervous and autonomic systems, and closely related to the DoA during surgery [18,19,20]. Therefore, HRV may be used as an important supplementary method of EEG monitoring in terms of DoA ...
In efforts to advance automated COVID-19 detection, Saffari et al.67proposed a DCNN-FuzzyWOA model utilizing a deep CNN with the WOA enhanced by fuzzy logic to optimize training. The key innovation is the use of a fuzzy system to tune the parameters of the WOA used to train the DCNN, ...
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