This study presents a broad view of the current state of the art of ML applications in the
manufacturing sectors that have a considerable impact on sustainability and the …

Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …

The rise of ubiquitous systems is sustained by the development and progressive adoption of
the Internet of Things (IoT) devices and their enabling technologies. IoT has been shown to …

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 …

Big data (BD) analytics is one of the critical components in the digitalization of the oil and
gas (O&G) industry. Its focus is managing and processing a high volume of data to improve …

Pipelines are vital for transporting oil and gas, but leaks can have serious consequences
such as fires, injuries, pollution, and property damage. Therefore, preserving pipeline …

A novel deep learning based eddy current inversion algorithm is proposed and investigated
in this paper. Eddy current testing (ECT) for defects detection problem is adopted to …

Due to complexity, the oil and gas industry employs various sensors to collect data for
analysis to maintain the safety and integrity of pipelines and associated infrastructure. There …

Industrial Applications of Machine Learning shows how machine learning can be applied to
address real-world problems in the fourth industrial revolution, and provides the required …

The field of machine learning has proven to be a powerful approach in smart manufacturing
and processing in the chemical and process industries. This review provides a systematic …