Optimal features selection in the high dimensional data based on robust technique: Application to different health database

I Hussain, M Qureshi, M Ismail, H Iftikhar, J Zywiołek… - Heliyon, 2024 - cell.com
Bio-informatics and gene expression analysis face major hurdles when dealing with high-
dimensional data, where the number of variables or genes much outweighs the number of …

Multiple novel decomposition techniques for time series forecasting: Application to monthly forecasting of electricity consumption in Pakistan

H Iftikhar, N Bibi, P Canas Rodrigues… - Energies, 2023 - mdpi.com
In today's modern world, monthly forecasts of electricity consumption are vital in planning the
generation and distribution of energy utilities. However, the properties of these time series …

Forecasting day-ahead brent crude oil prices using hybrid combinations of time series models

H Iftikhar, A Zafar, JE Turpo-Chaparro… - Mathematics, 2023 - mdpi.com
Crude oil price forecasting is an important research area in the international bulk commodity
market. However, as risk factors diversify, price movements exhibit more complex nonlinear …

Forecasting day-ahead electricity prices for the Italian electricity market using a new decomposition—combination technique

H Iftikhar, JE Turpo-Chaparro, P Canas Rodrigues… - Energies, 2023 - mdpi.com
Over the last 30 years, day-ahead electricity price forecasts have been critical to public and
private decision-making. This importance has increased since the global wave of …

On the implementation of the artificial neural network approach for forecasting different healthcare events

HM Alshanbari, H Iftikhar, F Khan, M Rind, Z Ahmad… - Diagnostics, 2023 - mdpi.com
The rising number of confirmed cases and deaths in Pakistan caused by the coronavirus
have caused problems in all areas of the country, not just healthcare. For accurate policy …

Short-term forecasting of monkeypox cases using a novel filtering and combining technique

H Iftikhar, M Khan, MS Khan, M Khan - Diagnostics, 2023 - mdpi.com
In the modern world, new technologies such as artificial intelligence, machine learning, and
big data are essential to support healthcare surveillance systems, especially for monitoring …

Short-term forecasting of Ozone concentration in metropolitan Lima using hybrid combinations of time series models

N Carbo-Bustinza, H Iftikhar, M Belmonte… - Applied Sciences, 2023 - mdpi.com
In the modern era, air pollution is one of the most harmful environmental issues on the local,
regional, and global stages. Its negative impacts go far beyond ecosystems and the …

Day-Ahead Electricity Demand Forecasting Using a Novel Decomposition Combination Method

H Iftikhar, JE Turpo-Chaparro, P Canas Rodrigues… - Energies, 2023 - mdpi.com
In the present liberalized energy markets, electricity demand forecasting is critical for
planning of generation capacity and required resources. An accurate and efficient electricity …

Enhancing Coronary Artery Disease Prognosis: A Novel Dual-Class Boosted Decision Trees Strategy for Robust Optimization

T Mahmood, A Rehman, T Saba, TJ Alahmadi… - IEEE …, 2024 - ieeexplore.ieee.org
The rise in stable coronary artery disease (CAD) due to improved survival rates and
population growth has increased patient numbers, straining healthcare systems. Machine …

[HTML][HTML] Modeling and analysis of monkeypox outbreak using a new time series ensemble technique

WM Cuba, JC Huaman Alfaro, H Iftikhar… - Axioms, 2024 - mdpi.com
The coronavirus pandemic has raised concerns about the emergence of other viral
infections, such as monkeypox, which has become a significant hazard to public health …