Search Results - "Hussein, Kadir"
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Modeling the emission characteristics of the hydrogen-enriched natural gas engines by multi-output least-squares support vector regression: Comprehensive statistical and operating analyses
Published in Energy (Oxford) (01-08-2023)“…The hydrogen-enriched natural gas engines (HENGEs) have recently found huge popularity. Despite the broad range of applications of the HENGE, their…”
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Assessing risk factors of bypass graft surgery through the implementation of Bayesian and non-Bayesian methodologies
Published in Results in engineering (01-06-2024)“…The aim of this research is to determine the key risk factors that influence the need for Bypass Graft surgery (BGS). A cohort of one hundred adult patients…”
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3
Data mining techniques in breast cancer diagnosis at the cellular–molecular level
Published in Journal of cancer research and clinical oncology (01-11-2023)“…Introduction Studies in the field of better diagnosis of breast cancer using machine learning and data mining techniques have always been promising. A new…”
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Bayesian machine learning analysis with Markov Chain Monte Carlo techniques for assessing characteristics and risk factors of Covid-19 in Erbil City-Iraq 2020–2021
Published in Alexandria engineering journal (01-09-2023)“…The study aims to showcase machine learning techniques in the application of medical datasets for improving identification of correlations and relationships…”
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Numerical analysis and two-phase modeling of water Graphene Oxide nanofluid flow in the riser condensing tubes of the solar collector heat exchanger
Published in Sustainable energy technologies and assessments (01-10-2022)“…Graphene Oxide is one of the carbon-based-materials that has wide application range such as Water purification, Flexible rechargeable battery electrode, Solar…”
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6
The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement
Published in IEEE access (2024)“…In the past few decades, there have been multiple algorithms proposed for the purpose of solving optimization problems including Machine Learning (ML)…”
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The ability of the absorbed energy in the flat-plate solar-collector’ tubes for oil-water separation: An experimental-computational approach
Published in Sustainable energy technologies and assessments (01-10-2022)“…The presence of water along with oil creates many technical and economic problems. The accompanying oil will occupy part of the oil pipelines and thus increase…”
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8
Influence of conical graded porous architecture on the mechanical, failure behavior and fluid-flow properties for bone scaffold application
Published in Engineering failure analysis (01-03-2024)“…[Display omitted] •A new mathematical model for Schwartz-Primitive (Sch-P) of conical graded was created using a parametric modeling method.•The Sch-P conical…”
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9
A Wavelet Shrinkage Mixed with a Single-level 2D Discrete Wavelet Transform for Image Denoising
Published in Kurdistan journal of applied research (Online) (10-07-2024)“…The single-level 2D discrete wavelet transform method is a powerful technique for effectively removing Gaussian noise from natural images. Its effectiveness is…”
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10
Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018–2023)
Published in Energy strategy reviews (01-05-2024)“…The synergy between deep learning and meta-heuristic algorithms presents a promising avenue for tackling the complexities of energy-related modeling and…”
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11
Effects of Humic and Fulvic Acids on Silver Nanoparticle Stability, Dissolution, and Toxicity
Published in Environmental science & technology (07-07-2015)“…The colloidal stability of silver nanoparticles (AgNPs) in natural aquatic environments influences their transport and environmental persistence, while their…”
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Statistical Analysis of Lipid Profiles Associated with Coronary Heart Disease in Erbil City-Iraq
Published in Polytechnic (10-07-2024)“…Background and objectives: Coronary heart disease (CHD) is one of the most prevalent diseases worldwide. The primary risk factor for coronary heart disease…”
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13
Dynamic silver speciation as studied with fluorous-phase ion-selective electrodes: Effect of natural organic matter on the toxicity and speciation of silver
Published in The Science of the total environment (15-12-2015)“…The widespread application of silver in consumer products and the resulting contamination of natural environments with silver raise questions about the…”
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14
Improving golden jackel optimization algorithm: An application of chemical data classification
Published in Chemometrics and intelligent laboratory systems (15-07-2024)“…One of the main issues affecting the effectiveness of the quantitative structure-activity relationship (QSAR) classification techniques in chemometrics is high…”
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15
Multi-objective optimization of a laterally perforated-finned heat sink with computational fluid dynamics method and statistical modeling using response surface methodology
Published in Engineering applications of artificial intelligence (01-04-2024)“…The present paper examines turbulent flow and heat transfer characteristics of a three-dimensional laterally perforated finned heat sink (LPFHS) using response…”
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16
Extra dimension algorithm: a breakthrough for optimization and enhancing DNN efficiency
Published in The Artificial intelligence review (08-11-2024)“…Proposing an efficient meta-heuristic to improve the inputs of a trainer in deep neural network (DNNs) is significant. According to the Kaluza’s theory, there…”
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17
Lomax distribution and asymptotical ML estimations based on record values for probability density function and cumulative distribution function
Published 16-10-2019“…Here in this paper, it is tried to obtain and compare the ML estimations based on upper record values and a random sample. In continue, some theorems have been…”
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Some Investigations about the Properties of Maximum Likelihood Estimations Based on Lower Record Values for a Sub-Family of the Exponential Family
Published 05-11-2017“…Here, in this paper it has been considered a sub family of exponential family. Maximum likelihood estimations (MLE) for the parameter of this family,…”
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