The RNN technique used to calculate pollution load has a direct influence on quantifying pollution's impact on air quality and on the overall assessment results. As a result, the weight of each assessment criteria must be determined in a convoluted and thorough manner. This Fuzzy is engaged in...
Maps were created using Python 3 and geoplots. Full size image Instead of considering the full distribution of each site’s pollutants, in the following we will concentrate onto the tails. One reason for doing so is that we are particularly interested in the statistics of high pollution states...
et al. Detection and attribution of wildfire pollution in the Arctic and northern midlatitudes using a network of Fourier-transform infrared spectrometers and GEOS-Chem. Atmos. Chem. Phys. 20, 12813–12851 (2020). Article CAS Google Scholar Zheng, B. et al. Increasing forest fire emissions ...
Detection and classification of trash using computer vision has been studied in a multitude of previous research applications. Thung and Yang presented a fine-tuned CNN for the classification of garbage with respect to their Trashnet dataset [12]. The classification accuracy of their prediction model...
Data were logged internally on the Q-Trak and downloaded after each run using the manufacturer's software (TrakPro, TSI, Inc.). The Q-Trak probe was 1.0 m from the ground. CO concentrations were generally below detection limit, and the few points when elevated concentrations were detected ...
As mentioned above, the ultimate goal of AQI prediction using the ADNNet is to minimize the prediction error by finding a nonlinear function F. We use the learning algorithm A to map a finite air pollution dataset DU into the function F and minimize the loss function L(DU;F;Θ). The le...
Air pollution’s role in the promotion of lung cancer Allan Balmain Nature News & Views 05 Apr 2023 Sections Figures References Abstract Data availability Code availability References Acknowledgements Author information Ethics declarations Peer review Additional information Extended data figures and table...
Air pollution epidemiology has primarily relied on measurements from fixed outdoor air quality monitoring stations to derive population-scale exposure. Characterisation of individual time-activity-location patterns is critical for accurate estimations of
Low-cost sensor Indoor air pollution Nursery school Primary school Performance evaluation 1. Introduction Indoor environments, which account for nearly 90 % of people's time [[1], [2], [3]], feature a mix of gaseous and particulate air pollutants [4]. Among them, particulate matter (PM2.5...
Weather recognition is crucial due to its significant impact on various aspects of daily life, such as weather prediction, environmental monitoring, tourism, and energy production. Several studies have already conducted research on image-based weather re