Automatic cell nuclei segmentation and classification of cervical Pap smear images
P Wang, L Wang, Y Li, Q Song, S Lv, X Hu - Biomedical Signal Processing …, 2019 - Elsevier
Pathological examination of microscopic image of Pap smear slide remains the main
method for cervical cancer diagnosis. The accurate segmentation and classification of …
method for cervical cancer diagnosis. The accurate segmentation and classification of …
Classification of severity of trachea stenosis from EEG signals using ordinal decision-tree based algorithms and ensemble-based ordinal and non-ordinal algorithms
Abstract Machine learning is integrated nowadays in many data-driven applications that
attempt to model the behavior of a system. Thus, the implementation of machine-learning …
attempt to model the behavior of a system. Thus, the implementation of machine-learning …
Orthogonal least squares based fast feature selection for linear classification
Abstract An Orthogonal Least Squares (OLS) based feature selection method is proposed
for both binomial and multinomial classification. The novel Squared Orthogonal Correlation …
for both binomial and multinomial classification. The novel Squared Orthogonal Correlation …
T2-FDL: a robust sparse representation method using adaptive type-2 fuzzy dictionary learning for medical image classification
In this paper, a robust sparse representation for medical image classification is proposed
based on the adaptive type-2 fuzzy learning (T2-FDL) system. In the proposed method …
based on the adaptive type-2 fuzzy learning (T2-FDL) system. In the proposed method …
A robust model structure selection method for small sample size and multiple datasets problems
In model identification, the existence of uncertainty normally generates negative impact on
the accuracy and performance of the identified models, especially when the size of data …
the accuracy and performance of the identified models, especially when the size of data …
Tree search fuzzy NARX neural network fault detection technique for PV systems with IoT support
The photovoltaic (PV) panel's output energy depends on many factors. As they are
becoming the leading alternative energy source, it is essential to get the best out of them …
becoming the leading alternative energy source, it is essential to get the best out of them …
Nonlinear predictive model selection and model averaging using information criteria
This paper is concerned with the model selection and model averaging problems in system
identification and data-driven modelling for nonlinear systems. Given a set of data, the …
identification and data-driven modelling for nonlinear systems. Given a set of data, the …
Nonlinear modeling of cortical responses to mechanical wrist perturbations using the NARMAX method
Objective: Nonlinear modeling of cortical responses (EEG) to wrist perturbations allows for
the quantification of cortical sensorimotor function in healthy and neurologically impaired …
the quantification of cortical sensorimotor function in healthy and neurologically impaired …
Development of riverbank erosion rate predictor for natural channels using NARX-QR Factorization model: a case study of Sg. Bernam, Selangor, Malaysia
This study presents a novel and comprehensive model development technique to predict the
riverbank erosion rate for a natural channel using a Nonlinear AutoRegressive model with …
riverbank erosion rate for a natural channel using a Nonlinear AutoRegressive model with …
On the use of interval extensions to estimate the largest Lyapunov exponent from chaotic data
A method to estimate the (positive) largest Lyapunov exponent (LLE) from data using
interval extensions is proposed. The method differs from the ones available in the literature …
interval extensions is proposed. The method differs from the ones available in the literature …