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Search Results for: Predictive values

Determination of malaria rapid diagnostic test effectiveness compared to microscopy (Gold standard)

Ismail Muhammad 1*; Bala Abubakar 2; Mahmoud T. Mohammed 3; Aishatu Abdullahi 1; Asiya M. Usman 4; Sulaiman Abubakar 5

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Predicting the spatial patterns of soil erosion hazard using RUSLE and frequency ratio in the Silabati River Basin, eastern India

Ratan Pal 1*; Narayan C. Jana 1 1, Department of Geography, The University of Burdwan, Burdwan, W.B. -713104, India E-mail:theratanpal123@gmail.comReceived:

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A spatiotemporal analysis of air pollutants during and after COVID-19: A case study of Dhaka Division using Google Earth Engine

Md Alamgir Hossin 1; Akramul Haque 1; Ovi Ranjan Saha 2*; Rabiul Islam 1; Tanzina Islam Shimin 3 1, Institute

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Response surface modeling of sodium hypochlorite-based manganese oxidation in drinking water

Ruba D. Alsaeed 1*; Amer Q. Aldarwish 1; Lina Khouri 2; Vinothkumar Kolluru 3 1, Faculty of Engineering, Al-Wataniya Private

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Improving landslide susceptibility mapping in semi-arid regions using machine learning and geospatial techniques

Youssef Bammou 1; Brahim Benzougagh 2; Abdessalam Ouallali 3; Shuraik Kader 4,5; Mustapha Raougua 6; Brahim Igmoullan 1 1, Department

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Machine learning-based optimization of flood susceptibility mapping in semi-arid zone

Hassan Ait Naceur 1*; Brahim Igmoullan 1; Mustapha Namous 2 1, Laboratory of Georesources, Geoenvironment and Civil Engineering (L3G), Faculty

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Integrated RUSLE-GIS modeling for enhancing soil erosion management in Ghamima River Basin, Syria

Sahar M. Richi 1* 1, Geography Department, Faculty of Arts and Humanities, Tartous University, Tartous, Syria E-mail:saharrichi@tartous-univ.edu.syReceived: 23/09/2024 Acceptance: 12/10/2024

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Machine learning-based modeling of Syrian agricultural GDP trends: A comparative analysis

Khder Alakkari 1* 1, Department of Statistics and Programming, Faculty of Economics, Tishreen University, Latakia, P.O. Box 2230, Syria E-mail:khderalakkari1990@gmail.comReceived:

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