Oil and Gas Pipelines Leakage Detection Approaches: A Systematic Review of Literature.

SS Aljameel, DA Alabbad, D Alomari… - … Journal of Safety & …, 2024 - search.ebscohost.com
In terms of its significance, the oil & gas industry is ranked among the top global
industries. Like any other industry, it also faces various problems, such as leakage of oil and …

[PDF][PDF] The Use of AI in the Mining Industry–Insights and Ethical Considerations

C Corrigan, P Laye - 2022 - eclass.uowm.gr
In the effort to rapidly transform the way we use energy, valuable metals are coming
increasingly into high demand. Various minerals and metals, such as copper and cobalt, are …

A Comparative Analysis of Early Fusion Architectures for Multimodal Gas Detection Using Machine Learning Models.

G Arya, A Bagwari, S Agarwal… - Instrumentation …, 2024 - search.ebscohost.com
Single-sensor gas detection models often lack robustness and accuracy, hindering safety
and security. To enhance the accurate classification performance data from seven sensors …

[PDF][PDF] DEVELOPING NEW CHEMICAL-BASED SENSORS FOR THE DETECTION OF VOLATILE COMPOUNDS

M FOIS - 2022 - uwe-repository.worktribe.com
This research project aims to enhance the performance of a series of chemical-based
sensor devices. In particular, metal oxide gas sensors. These materials are well known and …

A Selective Feature Distilled Multi-Sensor Based E-Nose System for Detecting Illegal Drugs Resistant to Various Environmental Changes

HW Noh, Y Jang, HD Park, JH Choi, CG Ahn - papers.ssrn.com
Detecting illegal drugs, such as cannabis and methamphetamine, with high accuracy and
speed is a complex problem that requires an innovative solution. To address this challenge …