H
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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Journal ArticleDOI
Groundwater level prediction using machine learning models: A comprehensive review
Haiyang Wang Tao,Mohammed Majeed Hameed,Haydar Abdulameer Marhoon,Mohammad Zounemat-Kermani,Heddam Salim,Kim Sungwon,Sadeq Oleiwi Sulaiman,Mou Leong Tan,Zulfaqar Sa’adi,Ali Danandeh Mehr,Mohammed Falah Allawi,Sani Isah Abba,Jasni Mohamad Zain,Mayadah W. Falah,Mehdi Jamei,Neeraj Dhanraj Bokde,M. Bayatvarkeshi,Mustafa Al-Mukhtar,Suraj Kumar Bhagat,Tiyasha Tiyasha,Khaled Mohamed Khedher,Nadhir Al-Ansari,Shamsuddin Shahid,Zaher Mundher Yaseen +23 more
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
Haiqing Li,Chairun Nasirin,Azher M. Abed,Dmitry Olegovich Bokov,Lakshmi Thangavelu,Haydar Abdulameer Marhoon,Md. Lutfor Rahman +6 more
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.
Reena Solanki,Indrajit Patra,T. C. A. Kumar,N. Bharath Kumar,Mahmoud Kandeel,Rathish Kumar Sivaraman,Abduladheem Turki Jalil,Ghulam Yasin,Sandhir Sharma,Haydar Abdulameer Marhoon +9 more
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
Jie Zhou,Supat Chupradit,Kirill Ershov,Wanich Suksatan,Haydar Abdulameer Marhoon,May Alashwal,Sami Ghazali,Mohammed Algarni,Ahmed El-Shafay +8 more
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
Haiyang Wang Tao,Ali H. Jawad,Akram H. Shather,Zainab. H. Kadhim Al-Khafaji,Tarik A. Rashid,Mumtaz Ali,Nadhir Al-Ansari,Haydar Abdulameer Marhoon,Shamsuddin Shahid,Zaher Mundher Yaseen +9 more
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.