Cover Image

Prediction of atmospheric carbon monoxide concentration utilizing different machine learning algorithms: A case study in Kuala Lumpur, Malaysia

Insidious toxin carbon monoxide (CO) can imitate a wide range of different disease states. Clinicians have, and will continue to have, serious concerns about the impact of CO imbalances on the human body. Carbon monoxide concentration has been exceeding the allowable levels in Malaysia. Owing to thi...

Full description

Saved in:

Bibliographic Details
Main Authors:	Latif S.D., Almalayih M., Yafouz A., Ahmed A.N., Zaini N., Irwan D., AlDahoul N., Sherif M., El-Shafie A.
Other Authors:	57216081524
Format:	Article
Published:	Elsevier B.V. 2024
Subjects:	Air Quality Carbon monoxide concentration Machine learning Predictive model Uncertainty analysis Air quality Atmospheric humidity Decision trees Forecasting Learning algorithms Learning systems Multilayer neural networks Nitric oxide Nitrogen oxides Quality control Sulfur dioxide Support vector machines Wind Atmospheric carbon monoxide Machine learning algorithms Machine learning techniques Machine-learning Malaysia Multilayers perceptrons Neural-networks Performance Predictive models Carbon monoxide
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SMART CARBON MONOXIDE PREDICTION MODEL FOR BETTER URBAN AIR QUALITY MANAGEMENT
by: ALMALAYIH MUSTAFA YASIR MOHSIN
Published: (2023)

Removal of NOx and CO from a Burner system
by: Jaafar, M. N. M., et al.
Published: (2010)

Assessment of indoor carbon monoxide (CO) concentration in residential area
by: Lau, Jia Siew
Published: (2013)

Numerical analysis on the CO-NO formation production near burner throat in swirling flow combustion system
by: Mohamad Shaiful, Ashrul Ishak, et al.
Published: (2015)

Diabetes prediction using machine learning / Muhammad Adib Mohd Nazri and Mahfudzah Othman
by: Mohd Nazri, Muhammad Adib, et al.
Published: (2023)

The development of diseases prediction system based on symptoms / Muhammad Faiz Mohd Faisol and Mohd Nizam Osman
by: Mohd Faisol, Muhammad Faiz, et al.
Published: (2023)

Optimization of artificial neural network (ANN) models using different training algorithms for air quality prediction
by: Nur Natasha Abdul Samat, et al.
Published: (2023)

Investigating the reliability of machine learning algorithms as an advanced tool for ozone concentration prediction
by: Ayman Mohammed Shaher Yafouz, Mr.
Published: (2023)

Selecting Machine Learning Models for Student Performance Prediction Aligned with Pedagogical Objectives
by: Khan I., et al.
Published: (2024)

The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed
by: Ridwan M.A., et al.
Published: (2024)

Catalytic combustion system for use in Malaysia small gas turbine: A feasibility study
by: M. N. M., Jaafar, et al.
Published: (2011)

Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches
by: Latif S.D., et al.
Published: (2024)

Fighting fish identification using deep learning / Muhammad NurSyafiq and Mohammad Hafiz Ismail
by: NurSyafiq, Muhammad, et al.
Published: (2023)

Object detection model for mango leaf diseases / Muhammad Norzakwan Mohd Sham and Mohammad Hafiz Ismail
by: Mohd Sham, Muhammad Norzakwan, et al.
Published: (2023)

Implementation of machine learning algorithms for streamflow prediction of Dokan dam
by: Sarmad Dashti Latif, Mr.
Published: (2023)

Hybrid performance measures and mixed evaluation method for data classification problems
by: Hossin, Mohammad
Published: (2012)

Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms
by: Ziyad Sami B.H., et al.
Published: (2024)

Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models
by: Gholami M., et al.
Published: (2024)

Oil palm maturity classifier using spectrometer and machine learning
by: Goh, Jia Quan
Published: (2021)

Convolutional Neural Network approach for different leaf classification
by: Ahmad Nazri, Ali, et al.
Published: (2023)

Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China
by: Sattar Hanoon M., et al.
Published: (2024)

Impact of air pollutants on climate change and prediction of air quality index using machine learning models
by: Ravindiran G., et al.
Published: (2024)

Thunderstorm Prediction Model Using SMOTE Sampling and Machine Learning Approach
by: Rufus S.A., et al.
Published: (2024)

A review of deep learning and machine learning techniques for hydrological inflow forecasting
by: Latif S.D., et al.
Published: (2024)

Sports item detection using MobilenetV2 with Single Shot Detector / Aiman Haziq Ab Yazik ... [et al.]
by: Ab Yazik, Aiman Haziq, et al.
Published: (2023)

Prediction of customer churn for ABC Multistate Bank using machine learning algorithms / Hui Shan Hon ... [et al.]
by: Hui, Shan Hon, et al.
Published: (2023)

Practitioners' perception on the adoption of user involvement in SDLC / Muhammad Ikhwan Faiz Ahmad Ainuddin
by: Ahmad Ainuddin, Muhammad Ikhwan Faiz
Published: (2011)

Enhancing loan approval decision-making: an interpretable machine learning approach using LightGBM for digital economy development / Teuku Rizky Noviandy, Ghalieb Mutig Idroes and Irsan Hardi
by: Noviandy, Teuku Rizky, et al.
Published: (2024)

Implementation of Machine Learning Algorithm in Preventing Network Congestion
by: Noorazimah binti Ali Sabri
Published: (2023)

Fake news classification using machine learning techniques / Adib Farhan Ahmad Rashdi and Mohd Nizam Osman
by: Ahmad Rashdi, Adib Farhan, et al.
Published: (2023)

Prediction of breast cancer disease using machine learning approach / Wan Nashua Amira and Nor Hayati Shafii
by: Amira, Wan Nashua, et al.
Published: (2023)

Web-based application for places recommender using machine learning / Farah Nurshaziela, Ruzita Ahmad and Shukor Sanim Mohd Fauzi
by: Nurshaziela, Farah, et al.
Published: (2023)

Lung cancer prediction using machine learning techniques / Muhammad Muhaimin Mohd Fauzi and Mohd Nizam Osman
by: Mohd Fauzi, Muhammad Muhaimin, et al.
Published: (2023)

Deep learning-driven predictive modelling for optimizing stingless beekeeping yields / Noor Hafizah Khairul Anuar ... [et al.]
by: Khairul Anuar, Noor Hafizah, et al.
Published: (2024)

Machine learning approach of predicting Airline flight delay using Naïve Bayes Algorithm / Ahmad Adib Baihaqi Shukri ... [et al.]
by: Shukri, Ahmad Adib Baihaqi, et al.
Published: (2024)

Sign Language to Speech Translator Using Deep Learning
by: Amirul Hakim Bin Azmi
Published: (2023)

Effect of Signal Decomposition in Power Quality Disturbances Classification
by: Kavines a/l Murugesu
Published: (2023)

Power Quality Disturbances Classification Using Dimensionality
by: Prakash a/l Bala
Published: (2023)

A Comparative Analysis of Machine Learning and Deep Learning Algorithms for Image Classification
by: Madanan M., et al.
Published: (2024)

Combination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India
by: Pande C.B., et al.
Published: (2024)