In this article, the quality of air in six Indian cities is predicted using data-driven Artificial Neural Network. The data was taken from the 'Kaggle' online source. For six Indian cities, 6139 data sets for ten contaminants (PM2.5, PM10, NO, NO2, NH3, ...
More importantly, the two systems of vision-based prediction and air quality monitoring will be explicitly integrated to generate an overall (and discrete) cleanliness level.Availability of data and materials The current version of the custom dataset generated during the study is available in the ...
, look back for a window of days history, calculating the median 2:00 PM2.5 readings from aotizhongxin in that window. You do this median calculation exercise for a bunch of different window sizes to obtain a bunch medians. The median value of those medians is used as the prediction....
Project Plan In this project we will demonstrate the use of: Airflowto orchestrate and manage the data pipeline AWS EMRfor the heavy data processing UseAirflowto create the EMR cluster, and then terminate once the processing is complete to save on cost. The overall project consists of the fo...
The functionality and nanofiber quality depend on chitosan concentrations, solvent types, surface tension, viscosity, temperature, electric field ability, humidity, electric conductivity, and distance between the nanofiber collectors and needle (Zhang et al, 2021). The electrospinning technique is ...
the factors at low levels. Moreover, the GMM–EM algorithm could find more values for the similarity function compared to the EM algorithm, thereby reaching convergence sooner. Moreover, the accuracy of the model was observed to increase, which in turn improved the reliability of the prediction...
, look back for a window of days history, calculating the median 2:00 PM2.5 readings from aotizhongxin in that window. You do this median calculation exercise for a bunch of different window sizes to obtain a bunch medians. The median value of those medians is used as the prediction....
An optimized machine learning model which combines Grey Wolf Optimization (GWO) with the Decision Tree (DT) algorithm for accurate prediction of AQI in major cities of India. Air quality data available in the Kaggle repository is used for experimentation, and major citie...
col("prediction").alias("cluster") ) cluster_df.repartition("cluster").write.partitionBy("cluster").mode("overwrite").parquet("i94_data/i94_immigration_cluster.parquet") Run Airflow on Docker To deploy Airflow on Docker Compose, you should fetch docker-compose.yaml. curl -LfO 'https:/...
Therefore, an attempt was made to develop a novel AP prediction system based on Xavier Reptile Switanh- based Long-Short Term Memory (XRSTH-LSTM), which undergoes fine-tuning at various steps such as pre-processing, attribute extraction, and air-quality index prediction, in order to reduce ...