Name: Predicting air Pollutants by iot and Machine Learning (en Inglés)
SKU: 62147224
Price: 62.50 USD
Availability: InStock
Author: K Viswanath Allamraju; Challa Sai Kiran Reddy

portada Predicting air Pollutants by iot and Machine Learning (en Inglés)

Predicting air Pollutants by iot and Machine Learning (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

K Viswanath Allamraju; Challa Sai Kiran Reddy

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9786207641055

Predicting air Pollutants by iot and Machine Learning (en Inglés)

K Viswanath Allamraju; Challa Sai Kiran Reddy (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Predicting air Pollutants by iot and Machine Learning (en Inglés)"

we present and IoT-based smart bin using a machine and deep learning model to manage the disposal of garbage and to forecast the air pollutant present in the surrounding bin environment. We experimented with a traditional model (k-nearest neighbours algorithm (k-NN) and logistic reg) and a non-traditional (long short term memory (LSTM) network based deep learning) algorithm for the creation of alert messages regarding bin status and forecasting the amount of air pollutant carbon monoxide (CO) present in the air at a specific instance. The recalls of logistic regression and k-NN algorithm is 79% and 83%, respectively, in a real-time testing environment for predicting the status of the bin. The accuracy of modified LSTM and simple LSTM models is 90% and 88%, respectively, to predict the future concentration of gases present in the air. The system resulted in a delay of 4 s in the creation and transmission of the alert message to a sanitary worker. The system provided the realtime monitoring of garbage levels along with notifications from the alert mechanism.