Hybrid anomaly detection model on trusted IoT devices
Most machine learning proposals in the Internet of Things (IoT) are designed and evaluated
on preprocessed data sets, where data acquisition and cleaning steps are often considered …
on preprocessed data sets, where data acquisition and cleaning steps are often considered …
Impact of Green Energy Transportation Systems on Urban Air Quality: A Predictive Analysis Using Spatiotemporal Deep Learning Techniques
Transitioning to green energy transport systems, notably electric vehicles, is crucial to both
combat climate change and enhance urban air quality in developing nations. Urban air …
combat climate change and enhance urban air quality in developing nations. Urban air …
Feature representation and compression methods for event-based data
C Wang, X Wang, C Yan, K Ma - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Event camera emerges as a new type of neuromorphic sensor that records scenes in an
asynchronous paradigm which provides high temporal resolution and high dynamic range …
asynchronous paradigm which provides high temporal resolution and high dynamic range …
Air quality index analysis of Bengaluru city air pollutants using Expectation Maximization clustering
RS Kumar, A Arulanandham… - … on advancements in …, 2021 - ieeexplore.ieee.org
Local air quality is important which affects the human breathe and life. Air quality changes
like the weather from day to day. The information about outdoor air quality a or AQI pollution …
like the weather from day to day. The information about outdoor air quality a or AQI pollution …
Fire association with respiratory disease and COVID-19 complications in the State of Pará, Brazil
L Schroeder, EM de Souza, C Rosset… - The Lancet Regional …, 2022 - thelancet.com
Background Brazil has faced two simultaneous problems related to respiratory health: forest
fires and the high mortality rate due to COVID-19 pandemics. The Amazon rain forest is one …
fires and the high mortality rate due to COVID-19 pandemics. The Amazon rain forest is one …
Analysis of classification and clustering techniques for ambient AQI using machine learning algorithms
A Arulanandham, S Arumugam… - … on Smart Systems …, 2022 - ieeexplore.ieee.org
The ambient air quality index impacts people's health. The air quality index of any place is
measured and analyzed in everyday routine. The AQI information helps the people to know …
measured and analyzed in everyday routine. The AQI information helps the people to know …
Prediction of PM10 Concentration in Malaysia Using K-Means Clustering and LSTM Hybrid Model
Following the rapid development of various industrial sectors, air pollution frequently occurs
in every corner of the world. As a dominant pollutant in Malaysia, particulate matter PM10 …
in every corner of the world. As a dominant pollutant in Malaysia, particulate matter PM10 …
Developing soft computing based models for prediction of pollutant pm10 of air
The three major pollution causing components of environmental air are SO 2 concentration,
NO 2 concentration and the particulate matter (PM). The particulate matter is comprised of …
NO 2 concentration and the particulate matter (PM). The particulate matter is comprised of …
Air Pollution Comparison RFM Model Using Machine Learning Approach
J Mohammad, MA Kashem - 2022 IEEE 7th International …, 2022 - ieeexplore.ieee.org
Air pollution is related to the economy in every country nowadays. This research uses Air
polluted data set off a month in Seoul, South Korea. According to the Air quality index, the …
polluted data set off a month in Seoul, South Korea. According to the Air quality index, the …
Clustering IoT Data Using Machine Learning Methods: A Survey
A Kaur, Y Kumar, PK Singh - IoT, Big Data and AI for Improving Quality of …, 2023 - Springer
Clustering is one of the important task of data mining. Clustering helps to discover patterns
or groups from the data. The innovations in technology have led to the increase in data over …
or groups from the data. The innovations in technology have led to the increase in data over …