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Haydar Abdulameer Marhoon

Publications -  6
Citations -  69

Haydar Abdulameer Marhoon is an academic researcher. The author has contributed to research in topics: Computer science & Chemistry. The author has an hindex of 3, co-authored 6 publications receiving 69 citations.

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Groundwater level prediction using machine learning models: A comprehensive review

TL;DR: In this article , the authors provide a clear understanding of the state-of-the-art ML models implemented for GWL modeling and the milestones achieved in this domain, as well as recommendations for possible future research directions to improve the accuracy of GWL prediction models and enhance the related knowledge.
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Optimization and design of machine learning computational technique for prediction of physical separation process

TL;DR: In this article , three machine learning techniques including Random Forest (RF), Extra Tree (ET), and Gradient Boosting (GB) were employed for the adsorption data.
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Smartphone-Based Techniques Using Carbon Dot Nanomaterials for Food Safety Analysis.

TL;DR: In this paper , the latest advancement of carbon dots nanostructures on smartphone for onsite detecting of agri-food pollutants is discussed, and the authors afford a summary of numerous approaches applied for target molecule diagnosis (pesticides, mycotoxins, pathogens, antibiotics, and metal ions), for instance microscopic imaging, fluorescence, colorimetric, and electrochemical techniques.
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Prediction of molecular diffusivity of organic molecules based on group contribution with Tree Optimization and SVM models

TL;DR: In this paper , two machine learning methods including Tree Optimization (TO) and SVM (Support Vector Machine) were implemented to simulate the values of diffusion coefficients for various compounds.
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Machine Learning Algorithms for High-Resolution Prediction of Spatiotemporal Distribution of Air Pollution from Meteorological and Soil Parameters

TL;DR: In this paper , the authors used machine learning (ML) models for a high-resolution prediction of air fine particular matter (PM2.5) concentration, the most harmful to human health, from meteorological and soil data.