This paper provides an overview of the support vector machine (SVM) methodology and its
applicability to real‐world engineering problems. Specifically, the aim of this study is to …

This book addresses computationally-efficient multi-objective optimization of antenna
structures using variable-fidelity electromagnetic simulations, surrogate modeling …

Computer simulation models have become the most important design tools in the majority of
engineering disciplines. They are used for verification purposes but also directly in the …

Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear
solution for classification and regression tasks. These techniques have been proved to have …

Support Vector Machine (SVM) is a novel machine-learning method of soft sensor modeling
in fermentation process, which has the ability to approximate nonlinear process with …

Nonlinear system identification based on support vector machines (SVM) has been usually
addressed by means of the standard SVM regression (SVR), which can be seen as an …

Ranging solutions for Internet of Things (IoT) localization applications seek to provide high
accuracy with low cost of implementation. Among candidate IoT technologies that may fit this …

Computer-aided design (CAD) of antenna arrays is becoming a common practice these
days. In a significant part, this is due to development of computational electromagnetics …

Computer simulations is a fundamental tool of the design process in many engineering
disciplines including aerospace engineering. However, although high-fidelity numerical …

Due to the proliferation of ubiquitous computing services, locating a device in indoor
scenarios has received special attention during recent years. A variety of algorithms are …