Search Results - "Abba, Sani Isah"
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The effect of ethanolic leaves extract of Hymenodictyon floribundun on inflammatory biomarkers: a data-driven approach
Published in Bulletin of the National Research Centre (19-07-2021)“…Background Medicinal plants are used to manage pain and inflammatory disorders in traditional medicine. A scientific investigation could serve as a basis for…”
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Chemometrics‐based models hyphenated with ensemble machine learning for retention time simulation of isoquercitrin in Coriander sativum L. using high‐performance liquid chromatography
Published in Journal of separation science (01-02-2021)“…In this research, two nonlinear models, namely; adaptive neuro‐fuzzy inference system and feed‐forward neural network and a classical linear model were…”
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Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index
Published in Environmental science and pollution research international (01-11-2020)“…In recent decades, various conventional techniques have been formulated around the world to evaluate the overall water quality (WQ) at particular locations. In…”
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Prediction of cell migration potential on human breast cancer cells treated with Albizia lebbeck ethanolic extract using extreme machine learning
Published in Scientific reports (14-12-2023)“…Cancer is one of the major causes of death in the modern world, and the incidence varies considerably based on race, ethnicity, and region. Novel cancer…”
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Frequency-Based Flood Risk Assessment and Mapping of a Densely Populated Kano City in Sub-Saharan Africa Using MOVE Framework
Published in Water (Basel) (01-04-2024)“…Flooding is a major environmental problem facing urban cities, causing varying degrees of damage to properties and disruption to socio-economic activities…”
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Flood hazard potential evaluation using decision tree state‐of‐the‐art models
Published in Risk analysis (01-02-2024)“…Floods occur frequently in Romania and throughout the world and are one of the most devastating natural disasters that impact people's lives. Therefore, in…”
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Hybrid Machine Learning Ensemble Techniques for Modeling Dissolved Oxygen Concentration
Published in IEEE access (01-01-2020)“…The reliable prediction of dissolved oxygen concentration (DO) is significantly crucial for protecting the health of the aquatic ecosystem. The current…”
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Spatio-temporal soil loss modelling using RUSLE and sediment delivery into a reservoir in a semi-arid region of northern Nigeria
Published in Heliyon (30-10-2024)“…Soil loss is aggravated by uncontrolled deforestation, indiscriminate land clearing for agricultural activities, overgrazing, and urban development that leads…”
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Artificial intelligence-based approaches for modeling the effects of spirulina growth mediums on total phenolic compounds
Published in Saudi journal of biological sciences (01-02-2022)“…Spirulina is a microalga and its phenolic compound is affected by growth mediums. In this study, Artificial intelligence (AI) based models, namely the…”
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10
Prediction of Cell Migration in MDA-MB 231 and MCF-7 Human Breast Cancer Cells Treated with Albizia Lebbeck Methanolic Extract Using Multilinear Regression and Artificial Intelligence-Based Models
Published in Pharmaceuticals (Basel, Switzerland) (08-06-2023)“…Breast cancer is a common cancer affecting women worldwide, and it progresses from breast tissue to other parts of the body through a process called…”
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Prediction of energy content of biomass based on hybrid machine learning ensemble algorithm
Published in Energy nexus (01-12-2022)“…•Machine learning models were developed for biomass higher heating value prediction.•Proximate analysis variables formed seven input combinations to the…”
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Evaluating the Performance of Aluminum Oxide Nanoparticle-Modified Asphalt Binder and Modelling the Viscoelastic Properties by Using Artificial Neural Networks and Support Vector Machines
Published in Advances in materials science and engineering (22-11-2022)“…The effect of aluminum oxide nanoparticles (Al2O3) on the 60/70 penetration of asphalt cement (AC) was investigated in terms of the physical and rheological…”
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Enhancing oxidative stability of biodiesel using fruit peel waste extracts blend: Comparison of predictive modelling via RSM and ANN techniques
Published in Results in engineering (01-03-2024)“…This work harnessed the potentials of banana, mango, and palm fruit peels as green sources of natural antioxidants whose liquid extracts were recovered via…”
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14
COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach
Published in Diagnostics (Basel) (27-03-2023)“…The novel coronavirus (COVID-19), also known as SARS-CoV-2, is a highly contagious respiratory disease that first emerged in Wuhan, China in 2019 and has since…”
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15
Log-Kumaraswamy distribution: its features and applications
Published in Frontiers in applied mathematics and statistics (31-10-2023)“…This article aimed to present a new continuous probability density function for a non-negative random variable that serves as an alternative to some bounded…”
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Comparative study of different training algorithms in backpropagation neural networks for generalized biomass higher heating value prediction
Published in Green Energy and Resources (01-03-2024)“…When selecting biomass feedstock for sustainable heat and electricity generation, higher heating value (HHV) is an important consideration. Meanwhile, the…”
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Clinical Modelling of RVHF Using Pre-Operative Variables: A Direct and Inverse Feature Extraction Technique
Published in Diagnostics (Basel) (01-12-2022)“…Right ventricular heart failure (RVHF) mostly occurs due to the failure of the left-side of the heart. RVHF is a serious disease that leads to swelling of the…”
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Prediction of meteorological drought by using hybrid support vector regression optimized with HHO versus PSO algorithms
Published in Environmental science and pollution research international (01-08-2021)“…Drought is considered one of the costliest natural disasters that result in water scarcity and crop damage almost every year. Drought monitoring and…”
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Machine learning models for biomass energy content prediction: A correlation-based optimal feature selection approach
Published in Bioresource technology reports (01-09-2022)Get full text
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20
Harnessing bio and (Photo)catalysts for microplastics degradation and remediation in soil environment
Published in Journal of environmental management (01-11-2024)“…Soil pollution by microplastics (MPs) is an escalating environmental crisis with far-reaching consequences. However, current research on the degradation and/or…”
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