A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …

Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …

Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …

Precision Medicine implies a deep understanding of inter-individual differences in health
and disease that are due to genetic and environmental factors. To acquire such …

In this study, we explore the impacts of big data's main characteristics (ie, volume, variety,
and velocity) on innovation performance (ie, innovation efficacy and efficiency), which …

In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect
and/or generate various sensory data over time for a wide range of fields and applications …

Purpose The purpose of this paper is to investigate the role of business analytics and
environmental orientation toward green innovation and green competitive advantage. In …

This paper presents a comprehensive study on clustering: exiting methods and
developments made at various times. Clustering is defined as an unsupervised learning …

Abstract The Internet of Things (IoT) is one of the key components of the ICT infrastructure of
smart sustainable cities as an emerging urban development approach due to its great …

In recent years, the concept of smart sustainable cities has come to the fore. And it is rapidly
gaining momentum and worldwide attention as a promising response to the challenge of …