In recent years, studies on chaotic neural networks have been increased to construct a
robust and flexible intelligent network resembling the human brain. To increase the chaotic …

Ozone is one of the pollutants with most negative effects on human health and in general on
the biosphere. Many data‐acquisition networks collect data about ozone values in both …

The success of machine learning on a given task dependson, among other things, which
learning algorithm is selected and its associated hyperparameters. Selecting an appropriate …

The availability of data in the healthcare domain provides great opportunities for the
discovery of new or hidden patterns in medical data, which can eventually lead to improved …

This article presents an optimization methodology to schedule the replacement of power
transformers (PT) into a fleet. The objective is the minimization of the summation of the risk …

SaaS software that provides services through cloud platform has been more widely used
nowadays. However, when SaaS software is running, it will suffer from performance fault …

Techniques that facilitate time series analysis using machine learning are provided. In one
example, a system includes a matrix generation component, a matrix factorization com …

This dissertation researched topics in the financial analysis of publicly traded companies.
The opportunity for this dissertation was to address the potential of increasing value for …

Collaborative filtering is used to recommend items to a user without requiring a knowledge
of the item itself and tends to outperform other techniques. However, pure collaborative …

Missing data problems can be seen in almost every field like biology, medicine, sensor
networks, survey, etc. Most of the existing algorithms that are used to impute missing data …