The basic configuration of a fuzzy logic system, shown in Fig.1, depends on an interface that transforms the real input variables into fuzzy sets (fuzzifier), which are interpreted by a fuzzy inference model to perform an input–output mapping based on fuzzy rules. Thus, the mapped fuzzy ou...
The purpose of this study is to identify additional clinical features for sepsis detection through the use of a novel mechanism for interpreting black-box machine learning models trained and to provide a suitable evaluation for the mechanism. We use the
Medical image classification plays an essential role in clinical treatment and teaching tasks. However, the traditional method has reached its ceiling on performance. Moreover, by using them, much time and effort need to be spent on extracting and select
Second, we aimed to investigate whether deep learning can discriminate between healthy controls and patients with asthma. Third, to support researchers conducting similar research, the Python programs used to define and train deep learning models, as well as simple HTML, CSS, and JavaScript programs...
The Keras models are implemented as Python functions. Each model has an assigned function which builds it and returns a Keras Model object. These functions contain several parameters to customise the architecture, returning either a model with no output layers configured or a classification group of...
Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients. J Neurosci Methods. 2005;148(2):113–21. Article PubMed Google Scholar Bose NK, Liang P. Neural network fundamentals with graphs, algorithms, and applications. Mcgraw-Hill, Inc. 1996. Huang HH,...
In these two ANN models, the quantity of neurons was selected by two different empirical equations (Hecht-Nielsen, 1989 and NeuroShell, 1993). Moon et al. (Moon et al., 2019) constructed diverse ANN models for electrical energy consumption. The ANN-based prediction models were designed with ...
Deep Residual Networks (ResNets) are prone to overfitting in problems with uncertainty, such as intrusion detection problems. To alleviate this problem, we proposed a method that combines the Adaptive Neuro-fuzzy Inference System (ANFIS) and the ResNet algorithm. This...
In practice, the system requires the input of sentences with misspellings by the user and the output of corrected sentences. A web-based user interface was implemented by the Django framework of python language. Django22is a free and open-source web framework that uses Python and follows the ...
The lesion core was defined in DWI, in combination with the apparent diffusion coefficient maps (ADC) by two experienced evaluators and was revised by a neuroradiologist until reaching a final decision by consensus. This manual definition was saved as a binary mask (stroke = 1, brain and back...