Latest AI and machine learning research in environmental health for healthcare professionals.
The contents of Cd, Cu, Fe, Mn, Ni, Pb, and Zn in leaves of Typha latifolia (broadleaf cattail), wat...
In this study, Random Forests (RF) classifier is proposed for ECG heartbeat signal classification in...
To reach a better understanding of the spatial variability of water quality in the Lower Mekong Basi...
Decreasing water pollution is a big problem in coastal waters. Coastal health of ecosystems can be a...
Air pollution poses health concerns at the global scale. The challenge of managing air pollution is ...
Inshore and offshore waters of the Gulf of Maine (USA) have spring/summer harmful algal blooms (HABs...
The effect of high pressure processing (HPP) (600 MPa/15 min/56 °C) and thermal processing (TP) (95 ...
Air quality forecasting system has acquired high importance in atmospheric pollution due to its nega...
BACKGROUND: Numerous organisms have evolved a wide range of toxic peptides for self-defense and pred...
The paper presents the screening of various feedforward neural networks (FANN) and wavelet-feedforwa...
Biological early warning systems (BEWS) are becoming very important tools in ecotoxicological studie...
Joint toxicity of Pb2+, Cr3+, Co2+ and Ni2+ toward Photobacterium phosphoreum (Ph. phosphoreum) at t...
Present study deals with the river Ganga water quality and its impact on metal speciation in its sed...
Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as...
GOAL: This paper presents a methodology for the automatic detection of sleep apnea from single-lead ...
In this study, artificial neural network such as a self-organizing map (SOM) was used to assess for ...
The availability of large in vitro datasets enables better insight into the mode of action of chemic...
Water quality assessment is an important foundation of water resource protection and is affected by ...
This study focuses on correlations between total number concentrations, road traffic emissions and n...
In this study we use a machine learning software (Ichnaea) to generate predictive models for water s...
Biological oxygen demand (BOD) is the most significant water quality parameter and indicates water p...