Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Pipelines are widely used for the transportation of hydrocarbon fluids over millions of miles
all over the world. The structures of the pipelines are designed to withstand several …

Oil and gas pipelines are very important for fuel transportation, however leakages in them
may lead to life and property losses due to the release of the energy they contain. Reliable …

As new wireless technologies become more and more advance so does their expanse of
applications. Among other new and innovative wireless networks, Wireless Sensor Networks …

In view of the global climate change concerns, the society is approaching towards the
development of 'green'and renewable energies for sustainable future. The non-renewable …

Ever growing populations in cities are associated with a major increase in road vehicles and
air pollution. The overall high levels of urban air pollution have been shown to be of a …

The air pollution monitoring paradigm is rapidly changing due to recent advances in (1) the
development of portable, lower-cost air pollution sensors reporting data in near-real time at …

In recent years, machine learning has proven to be a powerful tool for deriving insights from
data. In this review, we describe ways in which machine learning has been leveraged to …

The market volatility in the oil and gas (O&G) sector, the dwindling demand for oil due to the
impact of COVID-19, and the push for alternative greener energy are driving the need for …

The industrial world of oil and gas involves critical processes and machinery for the
exploration, extraction, refining, transporting and marketing petroleum products. Oil and gas …