(Retracted) Inspection of unmanned aerial vehicles in oil and gas industry: critical analysis of platforms, sensors, networking architecture, and path planning

SN Karam, K Bilal, J Shuja, F Rehman… - Journal of …, 2023 - spiedigitallibrary.org
The Editor-in-Chief and the publisher have retracted this article, which was submitted as part
of a guest-edited special section. An investigation uncovered evidence of compromised peer …

MFVL HCCA: A modified Fast-Vegas-LIA Hybrid Congestion Control Algorithm for MPTCP traffic flows in multihomed smart Gas IoT networks

MU Mudassir, MI Baig - Electronics, 2021 - mdpi.com
Multihomed smart gas meters are Internet of Things (IoT) devices that transmit information
wirelessly to a cloud or remote database via multiple network paths. The information is …

Air computing: A survey on a new generation computation paradigm in 6g wireless networks

B Yamansavascilar, A Ozgovde, C Ersoy - arXiv preprint arXiv:2209.04640, 2022 - arxiv.org
There is an ever-growing race between what novel applications demand from the
infrastructure and what the continuous technological breakthroughs bring in. Especially after …

Application of Industry 4.0 model in Oil and Gas companies

VD Majstorović - Journal of Engineering Management and …, 2022 - scindeks.ceon.rs
Although the concept of Industry 4.0 was defined a decade ago, experts have only been
talking about the" Oil and Gas 4.0" model in the last few years. Experts in this industry agree …

[PDF][PDF] Conceptual approaches to IoT-based personnel health management in offshore oil and gas industry

MH Mammadova, ZG Jabrayilova - Proceedings of the7th …, 2020 - researchgate.net
The offshore oil and gas industry is one of the leading segments of industry and plays a key
role in global oil and gas supplies. Currently, about 40% of oil and 30% of gas is produced …

A cybersecurity prospective on industry 4.0: Enabler role of identity and access management

O Alsaadoun - International Petroleum Technology Conference, 2019 - onepetro.org
Rapid development of intelligent machinery is expected to be foundational to prospective
evolution of Industry 4.0, especially for traditional industries such as the energy sector …

EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence

I Sikdokur, İM Baytaş, A Yurdakul - arXiv preprint arXiv:2307.14381, 2023 - arxiv.org
Deep edge intelligence aims to deploy deep learning models that demand computationally
expensive training in the edge network with limited computational power. Moreover, many …

DDDAS Within the Oil and Gas Industry

S Wang, N Schultheiss, S Kim - Handbook of Dynamic Data Driven …, 2023 - Springer
To ensure a successful and profitable energy future, the Dynamic Data Driven Applications
Systems (DDDAS) paradigm can help gain advantages in all aspects of the petroleum …

Environmental Sustainability Measures in the Oil and Gas Industry

K Laturkar, K Laturkar - Multidisciplinary Approaches to Sustainable …, 2023 - igi-global.com
A major concern with the oil industry is that, like most industrial activities, it can have an
adverse impact on the sustainability of the environment. The greatest concern as far as the …

A theoretical investigation of modelling the temperature measurement in oil pipelines with edge devices

H Huan, L Liu, B Huan, X Chen, J Zhan, Q Liu - Measurement, 2021 - Elsevier
The temperature measurement performed by edge devices is effective in remote pipeline
monitoring and maintenance in an Internet of Things (IoT) network. It provides a non …