A novel approach to reduce air pollution through machine learning based PM2.5 prediction

A novel approach to reduce air pollution through machine learning based PM2.5 prediction

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliographische Detailangaben
Hauptverfasser:	Alif, Omar Farhad, Monsaif, Tarik Monwar, Amarth, Swakshar Das, Kabir, Md. Nafiu, Sadman, Tahmid Asif
Weitere Verfasser:	Mukta, Jannatun Noor
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2023
Schlagworte:	Artificial intelligence Machine learning Computational cloud computing Prediction Reducing air pollution Linear regression analysis Decision tree Regression analysis Logic programming
Online Zugang:	http://hdl.handle.net/10361/21819

Ähnliche Einträge

A voice signal based gender prediction model using random forest classifier
von: Ahmed, Saif, et al.
Veröffentlicht: (2018)

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
von: Imam, Saif
Veröffentlicht: (2021)

Early grade prediction using profile data
von: Iqbal, Sumaiya, et al.
Veröffentlicht: (2021)

Punishment not enough to reduce air pollution in Bangladesh
von: Zaman, Sumaiya
Veröffentlicht: (2022)

Analyzing area-wise air pollution level using machine learning for a better future
von: Sihan, Sk. Atik Tajwar, et al.
Veröffentlicht: (2021)

Air pollution monitoring system using unmanned aerial vehicle in Bangladesh
von: Al-Farabi, Md., et al.
Veröffentlicht: (2020)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
von: Karim, Shabab, et al.
Veröffentlicht: (2018)

Applied regression : an introduction /
von: Lewis-Beck, Michael S.
Veröffentlicht: (1980)

Correlating lockdowns, mortality rates and air pollution: a deep learning imbued study of COVID-19
von: Tabassum, Tahia, et al.
Veröffentlicht: (2021)

Machine learning for stress prediction
von: Salehin, Sherajus, et al.
Veröffentlicht: (2023)

Automated fabric color prediction
von: Muhtashima, Fawzia, et al.
Veröffentlicht: (2024)

Reducing Cost in RMG sector & IE as its importance Of Lithe Group
von: Hossain, Md. Al Mamun
Veröffentlicht: (2022)

Air pollution control engineering /
von: De Nevers, Noel, 1932-
Veröffentlicht: (1995)

Flood prediction using ensemble machine learning models
von: Rahman, Tanvir
Veröffentlicht: (2024)

Finding ideal geographical location for businesses using machine learning technique
von: Mahmud, Mir Ibtid, et al.
Veröffentlicht: (2022)

Prediction of bipolar disorder from mental episodes using machine learning approach
von: Tasmeem, Sumaiya, et al.
Veröffentlicht: (2023)

A thesis on utilizing machine learning models to predict material hardship
von: Das, Tirtha
Veröffentlicht: (2024)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
von: Shihab, Ibne Farabi, et al.
Veröffentlicht: (2018)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
von: Rahee, Arnob, et al.
Veröffentlicht: (2021)

Augmented reality based flight assisting system under emergency circumstances
von: Islam, A.R.M. Rizwan, et al.
Veröffentlicht: (2021)

Heart disease prediction using techniques of classification in machine learning
von: Afrose, Sadia, et al.
Veröffentlicht: (2021)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
von: Farabe, Abdullah Al, et al.
Veröffentlicht: (2021)

Application of machine learning techniques on the context of livestock analysis
von: Islam, Md. Shajedul, et al.
Veröffentlicht: (2018)

Performance analysis of machine learning algorithms in resume recommendation systems
von: Hasan, Ibteaz, et al.
Veröffentlicht: (2018)

Particulate matter pollution and its impact on human health
von: Tasneem, Anika
Veröffentlicht: (2021)

Polycystic ovary syndrome detection using neural network.
von: Istiyaq, Tahsin, et al.
Veröffentlicht: (2024)

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
von: Saquib, Muhammad Sadman, et al.
Veröffentlicht: (2019)

Public vehicle ETA system using machine learning
von: Kabir, Md. Miraz, et al.
Veröffentlicht: (2018)

Nonparametric bootstrapping for multiple logistic regression model using R
von: Hossain, Ahmed, et al.
Veröffentlicht: (2010)

Nonrecursive causal models /
von: Berry, William Dale
Veröffentlicht: (1984)

Multiple regression in behavioral research
von: Kerlinger, Fred N. (Fred Nichols), 1910-
Veröffentlicht: (1973)

Lean and lovin' it : exceptionally delicious recipes for low-fat living and permanent weight loss /
von: Mauer, Don
Veröffentlicht: (1996)

Intelligent assisted living in pregnancy
von: Zaman, S. M. Tanveer, et al.
Veröffentlicht: (2022)

Application of CNN based architectures in detection of distracted drivers
von: Arafin, Irfana, et al.
Veröffentlicht: (2023)

Design and implementation of a simple electromechanical system to reduce domestic gas wastage and accidents in South-Asia
von: M. Huq, Rachaen, et al.
Veröffentlicht: (2016)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
von: Boateng, Albert, et al.
Veröffentlicht: (2024)

Flood prediction using machine learning models
von: Syeed, Miah Mohammad Asif, et al.
Veröffentlicht: (2022)

A feature selection approach to determine obesity using machine learning method
von: Antor, Shahidul Alam, et al.
Veröffentlicht: (2021)

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
von: Mahmud, Mahmudul Hasan
Veröffentlicht: (2021)

Air pollution monitoring system for smart city
von: Khan, Md. Hasib Bin Hossain, et al.
Veröffentlicht: (2018)