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.

Bibliografski detalji
Glavni autori:	Alif, Omar Farhad, Monsaif, Tarik Monwar, Amarth, Swakshar Das, Kabir, Md. Nafiu, Sadman, Tahmid Asif
Daljnji autori:	Mukta, Jannatun Noor
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2023
Teme:	Artificial intelligence Machine learning Computational cloud computing Prediction Reducing air pollution Linear regression analysis Decision tree Regression analysis Logic programming
Online pristup:	http://hdl.handle.net/10361/21819

Similar Items

A voice signal based gender prediction model using random forest classifier
od: Ahmed, Saif, i dr.
Izdano: (2018)

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

Early grade prediction using profile data
od: Iqbal, Sumaiya, i dr.
Izdano: (2021)

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

Analyzing area-wise air pollution level using machine learning for a better future
od: Sihan, Sk. Atik Tajwar, i dr.
Izdano: (2021)

Air pollution monitoring system using unmanned aerial vehicle in Bangladesh
od: Al-Farabi, Md., i dr.
Izdano: (2020)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
od: Karim, Shabab, i dr.
Izdano: (2018)

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

Correlating lockdowns, mortality rates and air pollution: a deep learning imbued study of COVID-19
od: Tabassum, Tahia, i dr.
Izdano: (2021)

Machine learning for stress prediction
od: Salehin, Sherajus, i dr.
Izdano: (2023)

Automated fabric color prediction
od: Muhtashima, Fawzia, i dr.
Izdano: (2024)

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

Air pollution control engineering /
od: De Nevers, Noel, 1932-
Izdano: (1995)

Flood prediction using ensemble machine learning models
od: Rahman, Tanvir
Izdano: (2024)

Finding ideal geographical location for businesses using machine learning technique
od: Mahmud, Mir Ibtid, i dr.
Izdano: (2022)

Prediction of bipolar disorder from mental episodes using machine learning approach
od: Tasmeem, Sumaiya, i dr.
Izdano: (2023)

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

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
od: Shihab, Ibne Farabi, i dr.
Izdano: (2018)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
od: Rahee, Arnob, i dr.
Izdano: (2021)

Augmented reality based flight assisting system under emergency circumstances
od: Islam, A.R.M. Rizwan, i dr.
Izdano: (2021)

Heart disease prediction using techniques of classification in machine learning
od: Afrose, Sadia, i dr.
Izdano: (2021)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
od: Farabe, Abdullah Al, i dr.
Izdano: (2021)

Application of machine learning techniques on the context of livestock analysis
od: Islam, Md. Shajedul, i dr.
Izdano: (2018)

Performance analysis of machine learning algorithms in resume recommendation systems
od: Hasan, Ibteaz, i dr.
Izdano: (2018)

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

Polycystic ovary syndrome detection using neural network.
od: Istiyaq, Tahsin, i dr.
Izdano: (2024)

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
od: Saquib, Muhammad Sadman, i dr.
Izdano: (2019)

Public vehicle ETA system using machine learning
od: Kabir, Md. Miraz, i dr.
Izdano: (2018)

Nonparametric bootstrapping for multiple logistic regression model using R
od: Hossain, Ahmed, i dr.
Izdano: (2010)

Nonrecursive causal models /
od: Berry, William Dale
Izdano: (1984)

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

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

Intelligent assisted living in pregnancy
od: Zaman, S. M. Tanveer, i dr.
Izdano: (2022)

Application of CNN based architectures in detection of distracted drivers
od: Arafin, Irfana, i dr.
Izdano: (2023)

Design and implementation of a simple electromechanical system to reduce domestic gas wastage and accidents in South-Asia
od: M. Huq, Rachaen, i dr.
Izdano: (2016)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
od: Boateng, Albert, i dr.
Izdano: (2024)

Flood prediction using machine learning models
od: Syeed, Miah Mohammad Asif, i dr.
Izdano: (2022)

A feature selection approach to determine obesity using machine learning method
od: Antor, Shahidul Alam, i dr.
Izdano: (2021)

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

Air pollution monitoring system for smart city
od: Khan, Md. Hasib Bin Hossain, i dr.
Izdano: (2018)