Data, as being the vital input of system modelling, contain dissimilar level of imprecision that
necessitates different modelling approaches for proper analysis of the systems. Numbers …

Building automation systems (BAS), or building control systems (BCS), typically consist of
building energy management systems (BEMSs), physical security and access control …

Using MATLAB examples wherever possible, Multi-Sensor Data Fusion with MATLAB
explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion …

The rapid expansion of wind farms has generated interest in operations and maintenance.
An operating wind turbine undergoes various state changes, including transformation from a …

Flash floods in mountainous catchments are often caused by the rainstorm, which may result
in more severe consequences than plain area floods due to less timescale and a fast …

Pattern classification methods have been widely investigated for analysis of brain images to
assist the diagnosis of Alzheimer's disease (AD) and its early stage such as mild cognitive …

Nowadays, as internet speed has increased and the prices of mobile have decreased very
much in past few years. Also the data prices too are very much affordable to most of the …

This paper proposes an optimization method for designing type-2 fuzzy inference systems
based on the footprint of uncertainty (FOU) of the membership functions, considering three …

In eukaryotes, determination of the subcellular location of a novel protein encoded in
genomic or transcriptomic data provides useful clues as to its possible function. However …

We describe in this paper a comparative study between fuzzy inference systems as methods
of integration in modular neural networks for multimodal biometry. These methods of …