This review covers the group of data-analysis techniques collectively referred to as
symbolization or symbolic time-series analysis. Symbolization involves transformation of raw …

Modelling of vehicle fuel consumption and emissions has emerged as an effective tool to
help develop and assess vehicle technologies and to help predict vehicle fuel consumption …

Intelligent systems are a hallmark of modern feedback control systems. But as these systems
mature, we have come to expect higher levels of performance in speed and accuracy in the …

Creating Traffic Models is a challenging task because some of their interactions and system
components are difficult to adequately express in a mathematical form. Traffic Flow Theory …

Reacting flow fields are often subject to unsteadiness due to flow, reaction, diffusion, and
acoustics. Further, flames can also exhibit inherent unsteadiness caused by various intrinsic …

We describe a symbolic approach for measuring temporal “irreversibility” in time-series
measurements. Temporal irreversibility is important because it excludes Gaussian linear …

We review developments in the understanding of cycle–to–cycle variability in internal
combustion engines, with a focus on spark-ignited and premixed combustion conditions …

In this paper we study the fluctuations of mean indicated pressure (MIP) in a diesel engine.
Using recurrence plots, recurrence quantification analysis and continuous wavelet …

In this work, we present a survey on different topics related to Internal Combustion (IC)
engines. The purpose of this work is to show the evolution on modeling, use of biofuels …

Combustion instability poses a negative impact on the performance and structural durability
of both land-based and aircraft gas turbine engines, and early detection of combustion …