Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Content-based visual information retrieval (CBVIR) or content-based image retrieval (CBIR)
has been one on the most vivid research areas in the field of computer vision over the last …

Classification is one of the most researched questions in machine learning and data mining.
A wide range of real problems have been stated as classification problems, for example …

This book introduces machine learning for readers with some background in basic linear
algebra, statistics, probability, and programming. In a coherent statistical framework it covers …

The delivery of encapsulated islets or stem cell-derived insulin-producing cells (ie,
bioartificial pancreas devices) may achieve a functional cure for type 1 diabetes, but their …

In this scientific report, a new technique of artificial intelligence which is based on k-nearest
neighbors (KNN) and particle swarm optimization (PSO), named as PSO-KNN, was …

Gene Selection (GS) is a strategy method targeted at reducing redundancy, limited
expressiveness, and low informativeness in gene expression datasets obtained by DNA …

Sparse representation has attracted great attention in the past few years. Sparse
representation based classification (SRC) algorithm was developed and successfully used …

The autonomous placement of Virtual Network Functions (VNFs) is a key aspect of Zero-
touch network and Service Management (ZSM) in Fifth Generation (5G) networking …

We compare the ability of eight machine-learning models (elastic net, gradient boosting,
kernel-k-nearest neighbors, two variants of support vector machines, M5-cubist, random …