… In this intelligent techniques, the real inputs are converted … our results are symmetrical
and approach zero. We also … for predicting the environmental contaminants in plant roots (ie…

… the accumulation of environmental contaminants in plants is routinely … For example, different
measurement or calculation methods … Eventually, we collected 21 studies on plant uptake of …

… Grid search involves trying various combinations of hyperparameters to identify the optimal
model, whereas Bayesian optimization uses probabilistic approaches to search for the most …

… computational approaches including artificial intelligence (AI… , AI and machine or deep
learning approaches are emerging as … uptake of contaminants by plants—for example, through …

… Human exposure to environmental contaminants through consumption of … Neural network
(NN) modeling is a capable approach to predict the uptake of organic compounds. One aim of …

… approach was used to predict the uptake of metals and other inorganic pollutants from the
soil into plants, … or pulse uptake into any plant tissue, contaminant leaching and degradation, …

… plant contaminant studies include the prediction of cadmium … deeper insights into the
interactions of ENPs and plants. … This approach will also benefit the study of ecosystem health …

… intelligent monitoring of membrane fouling in water and … role in regulating plant uptake of
organic contaminants, while their … Using ML methods to analyze ESE literature data effectively …

… implementation for diverse environmental pollutants simulation. A … of the detection soil
contamination methods with the … increase the metal uptake percentage and adsorption capacity. …

… of crop evolution through classical breeding approaches along with … Plant-mediated
uptake of contaminants mainly involves … The advent of artificial intelligence and computer-based …