A new data-driven predictor, PSO-XGBoost, used for permeability of tight sandstone reservoirs: A case study of member of chang 4+ 5, western Jiyuan Oilfield, Ordos …
Y Gu, D Zhang, Z Bao - Journal of Petroleum Science and Engineering, 2021 - Elsevier
Permeability is universally regarded as a critical analysis parameter for some geological
work such as formation characterization and oil deposit exploitation. It can be obtained by …
work such as formation characterization and oil deposit exploitation. It can be obtained by …
A support vector regression model for the prediction of total polyaromatic hydrocarbons in soil: an artificial intelligent system for mapping environmental pollution
The significance of total polyaromatic hydrocarbons (TPAH) determination in assessing the
carcinogenicity of environmental samples for measuring the level of environmental pollution …
carcinogenicity of environmental samples for measuring the level of environmental pollution …
Extreme learning machine and swarm-based support vector regression methods for predicting crystal lattice parameters of pseudo-cubic/cubic perovskites
TO Owolabi - Journal of Applied Physics, 2020 - pubs.aip.org
Lattice parameters of perovskite compounds play crucial roles in engineering of buffer layers
and substrates for heteroepitaxial films. As a result, predictive models that can effectively …
and substrates for heteroepitaxial films. As a result, predictive models that can effectively …
Exploration and quantification of magnetocaloric effect in EuTiO3 perovskite using extreme learning machine intelligent computational method
JI Agbi, TO Owolabi, DD Abajiigin - Materials Today Communications, 2023 - Elsevier
Perovskite EuTiO 3 is a multi-ferroic titanate oxide material that exhibits huge
magnetocaloric effect at low magnetic field without associated hysteresis loss due to the …
magnetocaloric effect at low magnetic field without associated hysteresis loss due to the …
Modeling the maximum magnetic entropy change of doped manganite using a grid search-based extreme learning machine and hybrid gravitational search-based …
SMI Shamsah, TO Owolabi - Crystals, 2020 - mdpi.com
The thermal response of a magnetic solid to an applied magnetic field constitutes
magnetocaloric effect. The maximum magnetic entropy change (MMEC) is one of the …
magnetocaloric effect. The maximum magnetic entropy change (MMEC) is one of the …
Development of hybrid extreme learning machine based chemo-metrics for precise quantitative analysis of LIBS spectra using internal reference pre-processing …
TO Owolabi, MA Gondal - Analytica chimica acta, 2018 - Elsevier
Laser induced breakdown spectroscopy (LIBS) is a versatile spectroscopic technique that
requires little or no sample preparation and capable of simultaneous elemental sample …
requires little or no sample preparation and capable of simultaneous elemental sample …
Estimation of minimum ignition energy of explosive chemicals using gravitational search algorithm based support vector regression
TO Owolabi, MA Suleiman, HB Adeyemo… - Journal of loss …, 2019 - Elsevier
Adequate knowledge of minimum ignition energy (MIE) of a flammable chemical compound
plays a significant role while handling and characterizing the hazardous materials and …
plays a significant role while handling and characterizing the hazardous materials and …
Quantitative analysis of LIBS spectra using hybrid chemometric models through fusion of extreme learning machines and support vector regression
TO Owolabi, MA Gondal - Journal of Intelligent & Fuzzy …, 2018 - content.iospress.com
Laser induced breakdown spectroscopy (LIBS) is an excellent technique for analysis of solid
and liquid samples. However there are inherent problems with concentration determination …
and liquid samples. However there are inherent problems with concentration determination …
Modeling of autoignition temperature of organic energetic compounds using hybrid intelligent method
MA Suleiman, TO Owolabi, HB Adeyemo… - Process Safety and …, 2018 - Elsevier
Autoignition temperature (AIT) plays a significant role while characterizing the potential
hazard of energetic chemical compounds and occurrence of fire disasters can be easily …
hazard of energetic chemical compounds and occurrence of fire disasters can be easily …
Single Hidden Layer Intelligent Approach to Modeling Relative Cooling Power of Rare-Earth-Transition-Metal-Based Refrigerants for Sustainable Magnetic …
A Alqahtani - Sustainability, 2024 - mdpi.com
Solid-state magnetocaloric-based magnetic refrigeration offers green and sustainable
refrigeration with improved efficiency, compactness and environmental friendliness …
refrigeration with improved efficiency, compactness and environmental friendliness …