Cited by Enhancing local-scale groundwater quality predictions using advanced machine learning approaches

Investigating the Causal Effects of Anthropogenic Factors on Urban Streams and Lakes Water Quality by Integrating Causal Inference with Interpretable Machine Learning DOI

Shuying Liu,

Jing Xu, Runzi Wang

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 144626 - 144626

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

Optimizing Machine Learning Models with Bayesian Techniques for Prediction of Groundwater Quality Index in Southwest Saudi Arabia DOI

Fahad Alshehri,

Shahfahad,

Atiqur Rahman

и другие.

Earth Systems and Environment, Год журнала: 2024, Номер unknown

Опубликована: Окт. 3, 2024

Язык: Английский

Процитировано

Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning DOI

Min Shen, Zhang Yin-e,

Runqing Zhan

и другие.

Ecotoxicology and Environmental Safety, Год журнала: 2024, Номер 290, С. 117570 - 117570

Опубликована: Дек. 24, 2024

Язык: Английский

Процитировано

Assessment of Growth and Physiological Traits of Chenopodium quinoa Lines Under Different Salt Levels DOI

Mehwish Zafar,

Muhammad Shahzad, Muhammad Zubair Akram

и другие.

Sarhad Journal of Agriculture, Год журнала: 2024, Номер 40(2)

Опубликована: Янв. 1, 2024

IntroductionC henopodium quinoa (Willd.) is cultivated mainly for its edible grains, considered as one of the crops that may be able to maintain food security in this century due remarkable nutritional qualities, such a high protein content, fiber, lipids, free gluten, having considerable amount fatty-acids, Abstract | Elevating salinity level has become worldwide threat agricultural lands.High concentration salts hampers growth plants and yield biomass by impacting major physiological mechanisms i.e., ionic, oxidative osmotic stress.One possible climate resilient strategy introduce new can bear allow irrigation with saline water.Quinoa great potential grow under conditions outstanding nutritious value.Pot based complete block design was conducted COMSATS University Abbottabad, Pakistan during winter season.Five lines (L30, L81, L11, L9, L24) were grown sandy loam soil containing 15 dS m -1 30dS NaCl salt treatments.The results revealed better noticed line L30 L24 30 dSm Salt treatments compared other three lines.Whereas, minimum plant genotype L9 L81 treatments.Highest leaf area, chlorophyll contents, contents noted all condition lines.High levels potassium, calcium magnesium lowest sodium aided resisting stress cause increased both non-saline soil.The present trial recognised maximum salt-tolerant severe stress, it might applied improve quinoa's tolerance later breeding phase.

Язык: Английский

Процитировано

Enhancing local-scale groundwater quality predictions using advanced machine learning approaches DOI

Abhimanyu Singh Yadav, Abhay Raj, Basant Yadav

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122903 - 122903

Опубликована: Окт. 15, 2024

Язык: Английский

Процитировано