Spatial layout planning in architecture requires a deep understanding of topological spatial
relationships, yet the process remains repetitive and laborious for designers. However …

Clinical discoveries largely depend on dedicated clinicians and scientists to identify and
pursue unique and unusual clinical encounters with patients and communicate these …

Various operational modal analysis (OMA) methods have been developed to identify the
modal parameters of buildings in use. Recently, efforts have been expended to solve the …

Artificial intelligence has deeply revolutionized the field of medicinal chemistry with many
impressive applications, but the success of these applications requires a massive amount of …

This open access book covers aspects of unsupervised machine learning used for
knowledge discovery in data science and introduces a data-driven approach to cluster …

Natural hazards have a great number of influencing factors. Machine-learning approaches
have been employed to understand the individual and joint relations of these factors …

Three modeling techniques namely multilayer perceptron artificial neural network
(MLPANN), microbial kinetic with Levenberg-Marquardt algorithm (MKLMA) developed from …

Parkinson's disease (PD) is a neurodegenerative disorder that remains incurable. The
available treatments for the disorder include pharmacologic therapies and deep brain …

Radial Basis Function Neural Networks (RBFNNs) have been successfully employed in
several function approximation and pattern recognition problems. The use of different RBFs …

Clustering evaluation plays an important role in unsupervised learning systems, as it is often
necessary to automatically quantify the quality of generated cluster configurations. This is …