Nowadays, the researchers delve into the intricacies of machine learning (Artificial Neural
Network (ANN), Genetic algorithm (GA), support vector machines (SVM), K-means …

Fuzzy c-means (FCM) algorithm is an unsupervised clustering algorithm that effectively
expresses complex real world information by integrating fuzzy parameters. Due to its …

Twin support vector machine (TSVM) is a practical machine learning algorithm, whereas
traditional TSVM can be limited for data with outliers or noises. To address this problem, we …

Neurodegenerative disorders like Alzheimer's disease (AD) are irreversible and show
atrophies in the area of the cerebral cortex of brain. AD leads to loss of memory and other …

Due to rapid climate change and man-made activities, the types of leaf diseases are
gradually increasing. As a result, taking the essential measures to recognize and diagnose …

The intuitionistic fuzzy twin support vector machine (IFTSVM) merges the idea of the
intuitionistic fuzzy set (IFS) with the twin support vector machine (TSVM), which can reduce …

Stochastic configuration network (SCN) is an emerging type of random neural network that
allocates node parameters via supervised mechanisms to ensure universal approximation …

Random vector functional link (RVFL) has always proven to be an excellent classifier in
various application areas of machine learning. In this work, inspired by RVFL and its twin …

Blasting operations are widely recognized as the most frequently used rock breakage
approach in the field of Civil and Mining Engineering. However, the induced air …

As an epigenetic modification that plays an important role in modifying gene function and
controlling gene expression during cell development, DNA N4-methylcytosine (4mC) is still …