Search Results - "Iqbal, Farhat"

Pollution Status of Pakistan: A Retrospective Review on Heavy Metal Contamination of Water, Soil, and Vegetables by Mehmood, Zahid, Sajjad, Ashif, Iqbal, Farhat, Arshad, Jahanzaib, Nafees, Muhammad, Murtaza, Ghulam

“…Trace heavy metals, such as arsenic, cadmium, lead, chromium, nickel, and mercury, are important environmental pollutants, particularly in areas with high…”
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A Novel Hybrid Method for River Discharge Prediction by Shabbir, Maha, Chand, Sohail, Iqbal, Farhat

“…Accurate prediction of river discharge is essential for the planning and management of water resources. This study proposes a novel hybrid method named HD-SKA…”
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A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure by Nasir, Adeel, Shaukat, Kamran, Hameed, Ibrahim A., Luo, Suhuai, Alam, Talha Mahboob, Iqbal, Farhat

“…Corona pandemic has affected the whole world, and it is a highly researched area in biological sciences. As the current pandemic has affected countries…”
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Prediction of river inflow of the major tributaries of Indus river basin using hybrids of EEMD and LMD methods by Shabbir, Maha, Chand, Sohail, Iqbal, Farhat

“…Reliable prediction of the water flow entering a reservoir is a crucial concern for agricultural-based countries like Pakistan. This study applies a hybrid…”
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Cryptocurrency Trading and Downside Risk by Iqbal, Farhat, Zahid, Mamoona, Koutmos, Dimitrios

“…Since the debut of cryptocurrencies, particularly Bitcoin, in 2009, cryptocurrency trading has grown in popularity among investors. Relative to other…”
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Forecasting Bitcoin Volatility Using Hybrid GARCH Models with Machine Learning by Zahid, Mamoona, Iqbal, Farhat, Koutmos, Dimitrios

“…The time series movements of Bitcoin prices are commonly characterized as highly nonlinear and volatile in nature across economic periods, when compared to the…”
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Modeling and predicting the growth of indigenous Harnai sheep in Pakistan: non-linear functions and MARS algorithm by Iqbal, Farhat, Eyduran, Ecevit, Raziq, Abdul, Ali, Muhammad, Zil-e-Huma, Tirink, Cem, Sevgenler, Harun

“…Five non-linear functions, i.e. Gompertz, Logistic, Negative exponential, Brody and Bertalanffy, and multivariate adaptive regression splines (MARS) data…”
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A Novel Hybrid Deep Learning Method for Accurate Exchange Rate Prediction by Iqbal, Farhat, Koutmos, Dimitrios, Ahmed, Eman A., Al-Essa, Lulwah M.

“…The global foreign exchange (FX) market represents a critical and sizeable component of our financial system. It is a market where firms and investors engage…”
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Laser back scatter: Limitation to higher repetition rate [kHz] Satellite Laser Ranging system by Farhat Iqbal, G. Kirchner, F. Koidl, Erich Leitgeb

“…Satellite laser ranging (SLR) with higher repetition rate is the recent trend for its various advantages. Laser backscatter (coincidence between recently…”
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Adsorption Kinetics of Malachite Green and Methylene Blue from Aqueous Solutions Using Surfactant-modified Organoclays by Ullah, Haseeb, Nafees, Muhammad, Iqbal, Farhat, Awan, Saifullah, Muhammad, Shah, Afzal, Waseem, Amir

“…The main objective of this research is to study the adsorption behaviour of malachite green and methylene blue dyes onto the surfactant modified natural clays…”
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A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences by Shaukat, Kamran, Alam, Talha Mahboob, Hameed, Ibrahim A., Luo, Suhuai, Li, Jiaming, Aujla, Gagandeep Kaur, Iqbal, Farhat

“…The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically,…”
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Low-Cost Resistivity Meter for Groundwater Exploration Using High Voltage Experimentations by Ahmad, Mirza Naseer, Iqbal, Farhat, Maqbool, Saad, Arshad, M Bilal

“…26 March, 2018 Accepted: 17 September, 2019Abstract: Resistivity survey is very well known for the exploration of groundwater and to determine the depth…”
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Effects of different cocoon-stifling methods on the reeling and quality characteristics of raw silk by Manzoor, Shaista, Iqbal Qadri, S. Farhat, Sahaf, K. A., Baqual, M. F., Qayoom, Kahkashan

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Bayesian inference of multivariate rotated GARCH models with skew returns by Iqbal, Farhat, Triantafyllopoulos, Kostas

“…Bayesian inference is proposed for volatility models, targeting financial returns, which exhibit high kurtosis and slight skewness. Rotated GARCH models are…”
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Bagging-based ridge estimators for a linear regression model with non-normal and heteroscedastic errors by Shabbir, Maha, Chand, Sohail, Iqbal, Farhat

“…Regression analysis is used to predict a dependent variable using one or more independent variables. In the linear regression model, when the independent…”
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A new ridge estimator for linear regression model with some challenging behavior of error term by Shabbir, Maha, Chand, Sohail, Iqbal, Farhat

“…Ridge regression is a variant of linear regression that aims to circumvent the issue of collinearity among predictors. The ridge parameter k has an important…”
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A novel hybrid approach based on outlier and error correction methods to predict river discharge using meteorological variables by Shabbir, Maha, Chand, Sohail, Iqbal, Farhat

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Hybrid Approach for Streamflow Prediction: LASSO-Hampel Filter Integration with Support Vector Machines, Artificial Neural Networks, and Autoregressive Distributed Lag Models by Shabbir, Maha, Chand, Sohail, Iqbal, Farhat, Kisi, Ozgur

“…The generation of streamflow is linked with different factors such as water level, rainfall intensity, meteorological variables, and many more. In this study,…”
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Novel hybrid and weighted ensemble models to predict river discharge series with outliers by Shabbir, Maha, Chand, Sohail, Iqbal, Farhat

“…In this study, a novel hybrid framework named HVK/HVA-HEM was designed to predict river discharge with outliers. Firstly, the Hampel filter (HF) identifies and…”
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ROBUST ESTIMATION FOR THE ORTHOGONAL GARCH MODEL by IQBAL, FARHAT

“…In this paper, we propose a class of robust M‐estimators for the orthogonal generalized autoregressive conditional heteroscedastic (GARCH) model. The method…”
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