Transom window (TW) has been proven to be useful for ensuring adequate ventilation in
residential units. However, previous studies have never considered the impact of different …

As the access to consumption data available in household smart meters is now very
common in several developed countries, this kind of information is assuming a providential …

The article is focused on evaluating the relevance of load profiling information in electrical
load forecasting, using neural networks as the forecasting methodology. Different models …

Good knowledge of acoustic emission (AE) source location is the basic requirement for
further damage mechanism characterization. Calculation of the AE source location is mostly …

Nesta dissertação é apresentada uma metodologia que, com base em métodos de
aprendizagem automática, permite avaliar de forma rápida a segurança dinâmica de …

Most optimization and decision problems in power systems include integer or binary
variables, leading to combinatorial problems. In this paper, several approaches using …

Over the last decade, machine learning models have become highly popular. Without
requiring significant human participation, Machine Learning models improve the efficiency …

Multi-layer neural networks of the back-propagation type (MLP-networks) became a well-
established tool used in various application areas. Reliable solutions require, however, also …

Abstract Solution of nonlinear Inverse Problems (IPs) is a frequent task in nondestructive
testing of materials and structures when structural defects or imperfections must be …

Around 60% of the movies produced worldwide are box office failures. Since it affects a
large number of stakeholders, movie business prediction is a very relevant as well as …