[HTML][HTML] A review of multisensor data fusion solutions in smart manufacturing: Systems and trends

A Tsanousa, E Bektsis, C Kyriakopoulos, AG González… - Sensors, 2022 - mdpi.com
Manufacturing companies increasingly become “smarter” as a result of the Industry 4.0
revolution. Multiple sensors are used for industrial monitoring of machines and workers in …

Artificial intelligence for the modeling of water pipes deterioration mechanisms

T Dawood, E Elwakil, HM Novoa… - Automation in Construction, 2020 - Elsevier
Water pipes deterioration modeling has been a prevalent research topic in the last two
decades due to high water break incidents and contamination rates. Failure processes are …

Multiple fading factors-based strong tracking variational Bayesian adaptive Kalman filter

C Pan, J Gao, Z Li, N Qian, F Li - Measurement, 2021 - Elsevier
If the system model or the statistical characteristics of noise are inaccurate, the past
measurements will directly affect the accuracy of current state estimation or even lead to …

Automatic monitoring system in underground engineering construction: review and prospect

L Wang, S Xu, J Qiu, K Wang, E Ma… - Advances in Civil …, 2020 - Wiley Online Library
Automatic monitoring system is one of the main means to ensure the safety of underground
engineering construction. This paper summarizes the current international research and …

[HTML][HTML] The first two decades of smart city research from a risk perspective

S Shayan, KP Kim, T Ma, THD Nguyen - Sustainability, 2020 - mdpi.com
Although they offer major advantages, smart cities present unprecedented risks and
challenges. There are abundant discrete studies on risks related to smart cities; however …

[HTML][HTML] Models for oil refinery waste management using determined and fuzzy conditions

A Zhumadillayeva, B Orazbayev, S Santeyeva… - Information, 2020 - mdpi.com
This study developed models to solve problems of optimisation, production, and
consumption in waste management based on methods of system analysis. Mathematical …

A systematic approach to the model development of reactors and reforming furnaces with fuzziness and optimization of operating modes

B Orazbayev, A Zhumadillayeva, M Kabibullin… - IEEE …, 2023 - ieeexplore.ieee.org
The paper studies the problems of developing interconnected models of aggregates of
complex chemical-technological systems (CTS) in conditions of scarcity and fuzziness of the …

Soft computing for modeling pipeline risk index under uncertainty

T Dawood, E Elwakil, HM Novoa… - Engineering Failure …, 2020 - Elsevier
The risk of water pipe failure is deemed one of the significant challenges of the 21st century.
The risk analysis and modeling are intricate tasks due to the complexity of the buried piping …

Ensemble intelligent systems for predicting water network condition index

T Dawood, E Elwakil, HM Novoa… - Sustainable Cities and …, 2021 - Elsevier
Aging infrastructure and funding problems continue to plague water supply networks
worldwide. The failure risk of water mains is posing a considerable threat to drinking water …

Pressure data-driven model for failure prediction of PVC pipelines

T Dawood, E Elwakil, HM Novoa… - Engineering Failure …, 2020 - Elsevier
Polyvinyl chloride (PVC) pipes are used extensively in water infrastructure due to their
lightweight, low cost, and ease of jointing. Failure occurrences in PVC pipes are attributed to …