Pakistan CO2 Emission Modelling and Forecasting: A Linear and Nonlinear Time Series Approach
Pakistan is considered among the top five countries with the highest CO2 emissions
globally. This calls for pragmatic policy implementation by all stakeholders to bring finality to …
globally. This calls for pragmatic policy implementation by all stakeholders to bring finality to …
A comparative analysis of traditional SARIMA and machine learning models for CPI data modelling in Pakistan
Background. In economic theory, a steady consumer price index (CPI) and its associated
low inflation rate (IR) are very much preferred to a volatile one. CPI is considered a major …
low inflation rate (IR) are very much preferred to a volatile one. CPI is considered a major …
[HTML][HTML] Forecasting real exchange rate (REER) using artificial intelligence and time series models
Forecasting is an attractive topic in every field of study because no one knows the exact
nature of the underlying phenomena, but it can be guessed using mathematical functions …
nature of the underlying phenomena, but it can be guessed using mathematical functions …
Statistical modeling to improve time series forecasting using machine learning, time series, and hybrid models: a case study of bitcoin price forecasting
Bitcoin (BTC-USD) is a virtual currency that has grown in popularity after its inception in
2008. BTC-USD is an internet communication network that makes using digital money …
2008. BTC-USD is an internet communication network that makes using digital money …
Predicting Factors for Extremity Fracture among Border-Fall Patients Using Machine Learning Computing
C Palacio, M Hovorka, M Acosta, R Bautista, C Chen… - Heliyon, 2024 - cell.com
Background The factors causing the injuries sustained from falls at US-Mexican border
include falls from border wall or fence, fleeing from border patrols, ejecting from vehicle, and …
include falls from border wall or fence, fleeing from border patrols, ejecting from vehicle, and …
Comparative Study of Ensemble Stacking Method for Neurodegenarative Disease Classification
PA Raseena, MP Deepika… - 2024 11th International …, 2024 - ieeexplore.ieee.org
Neurodegenerative diseases present a current challenge in the accuracy of the diagnosis.
Alzheimer's and Parkinson's disease take a number of years to accurately define the growth …
Alzheimer's and Parkinson's disease take a number of years to accurately define the growth …
Income-Expenditure Dynamics across Districts in Khyber Pakhtunkhwa: A Multilevel Statistical Approach
Financial development in emerging economies, such as Pakistan, often leads to disparities
in wealth, causing long-term financial and social instabilities. Dealing with these imbalances …
in wealth, causing long-term financial and social instabilities. Dealing with these imbalances …
Comparative Study of Machine Learning (ML) and Conventional Time Series Methodologies in Modelling the Exports Trade of Pakistan
Export trade is a pivotal driver of economic growth and stability in any nation, including
Pakistan. Accurate modelling of export trade holds immense significance as it allows for …
Pakistan. Accurate modelling of export trade holds immense significance as it allows for …
A HYBRID ARIMA-MLP ALGORITHM USING ARIMA AND MLP TO IMPROVE ESTIMATION MODEL PERFORMANCE IN SOLAR RADIATION SENSOR DATA
Ground-based solar radiation measurements help solar energy projects and applications.
Various models have been developed to estimate solar radiation. Then, several additional …
Various models have been developed to estimate solar radiation. Then, several additional …