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السجلات المعروضة 101 -- 107 من 107
Development of a stacked machine learning model to compute the capability of ZnO-based sensors for hydrogen detection
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Elsevier
, 2024 , Article)
Zinc oxide (ZnO) nanocomposite sensors decorated with various dopants are popular tools for detecting even low hydrogen (H2) concentrations. The nanocomposite's chemistry, temperature, and H2 concentration impact the success ...
Reconstruction of Road Defects from Dynamic Vehicle Accelerations by Using the Artificial Neural Networks
(
Springer Science and Business Media B.V.
, 2023 , Conference Paper)
Monitoring of roads is considered the first step in establishing a successful road maintenance program, which includes scheduling adequate maintenance to a certain road section at the right time. Road monitoring assesses ...
Enhancing vulnerability assessment through spatially explicit modeling of mountain social-ecological systems exposed to multiple environmental hazards
(
Elsevier
, 2024 , Article)
The evaluation of the vulnerability of coupled socio-ecological systems is critical for addressing and preventing the adverse impacts of various environmental hazards and devising strategies for climate change adaptation. ...
Analysis of mode choice affects from the introduction of Doha Metro using machine learning and statistical analysis
(
Elsevier
, 2023 , Article)
The aim of this study was to investigate the possible influences of the operation of the new Doha Metro on the travel mode choice behavior in Doha City, Qatar. Revealed preference (RP) and stated preference (SP) survey ...
Enhancing Safety in Geological Carbon Sequestration: Supervised Machine Learning for Early Detection and Mitigation of CO2 Leakage in Injection Wells
(
International Petroleum Technology Conference (IPTC)
, 2024 , Conference Paper)
The efficient and safe operation of CO2 injection wells during geological sequestration is crucial for successful carbon capture and storage (CCS) projects. This study explores the application of machine learning in creating ...
Performance analysis of various machine learning algorithms for CO2 leak prediction and characterization in geo-sequestration injection wells
(
Elsevier
, 2024 , Article)
The effective detection and prevention of CO2 leakage in active injection wells are paramount for safe carbon capture and storage (CCS) initiatives. This study assesses five fundamental machine learning algorithms, namely, ...
Single and multiphase flow leak detection in onshore/offshore pipelines and subsurface sequestration sites: An overview
(
Elsevier
, 2024 , Article)
Leaks may occur in existing pipelines, even when designed with quality construction and appropriate regulations. The economic impact of oil spills and natural gas dispersion from leaks can be huge. Failure to detect pipeline ...