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Environmental Science and Pollution Research International|April 29, 2024
A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning modelsJaveria Sarwar, Saud Ahmed Khan, Muhammad Azmat, et al.
Environmental Science and Pollution Research International|May 20, 2022
Revisiting the relationship between remittances and CO<sub>2</sub> emissions by applying a novel dynamic simulated ARDL: empirical evidence from G-20 economiesFarman Ullah Khan, Amir Rafique, Ehsan Ullah, et al.
The International Journal of Health Planning and Management|December 18, 2019
Nexus between trade, CO<sub>2</sub> emissions, renewable energy, and health expenditure in PakistanIrfan Ullah, Alam Rehman, Farman Ullah Khan, et al.
Gene|November 13, 2023
Contribution of the gyrA and waaG mutants to fluoroquinolones resistance, biofilm development, and persister cells formation in Salmonella enterica serovar TyphiMusanna, Ummara Faridoon Khan, Gul Habib, et al.
Plos One|November 14, 2023
Half logistic-truncated exponential distribution: Characteristics and applicationsAhtasham Gul, Amjad Javaid Sandhu, Muhammad Farooq, et al.
Mathematical Biosciences and Engineering : MBE|January 18, 2023
On the implementation of a new version of the Weibull distribution and machine learning approach to model the COVID-19 dataYinghui Zhou, Zubair Ahmad, Zahra Almaspoor, et al.
Heliyon|May 6, 2024
A new family of distributions using a trigonometric function: Properties and applications in the healthcare sectorOmalsad Hamood Odhah, Huda M Alshanbari, Zubair Ahmad, et al.
Heliyon|July 10, 2023
A new modification of the flexible Weibull distribution based on power transformation: Monte Carlo simulation and applicationsFaridoon Khan, Zubair Ahmad, Saima K Khosa, et al.
Diagnostics (Basel, Switzerland)|April 13, 2023
On the Implementation of the Artificial Neural Network Approach for Forecasting Different Healthcare EventsHuda M Alshanbari, Hasnain Iftikhar, Faridoon Khan, et al.
Mathematical Biosciences and Engineering : MBE|March 11, 2023
Predictive modeling of the COVID-19 data using a new version of the flexible Weibull model and machine learning techniquesRashad A R Bantan, Zubair Ahmad, Faridoon Khan, et al.
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