Search Results - "Mir, Adil Aslam"

Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series data by Mir, Adil Aslam, Kearfott, Kimberlee Jane, Çelebi, Fatih Vehbi, Rafique, Muhammad

“…A new methodology, imputation by feature importance (IBFI), is studied that can be applied to any machine learning method to efficiently fill in any missing or…”
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Anomaly Classification for Earthquake Prediction in Radon Time Series Data Using Stacking and Automatic Anomaly Indication Function by Mir, Adil Aslam, Çelebi, Fatih Vehbi, Rafique, Muhammad, Faruque, M. R. I., Khandaker, Mayeen Uddin, Kearfott, Kimberlee Jane, Ahmad, Pervaiz

“…To minimize catastrophic impacts of earthquakes, many researchers have directed their efforts to developing novel computational techniques and models that…”
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Simulated Annealing-Based Image Reconstruction for Patients With COVID-19 as a Model for Ultralow-Dose Computed Tomography by Qureshi, Shahzad Ahmad, Rehman, Aziz Ul, Mir, Adil Aslam, Rafique, Muhammad, Muhammad, Wazir

“…The proposed algorithm of inverse problem of computed tomography (CT), using limited views, is based on stochastic techniques, namely simulated annealing (SA)…”
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Time Series Reconstruction With Feature-Driven Imputation: A Comparison of Base Learning Algorithms by Bashir, Nadeem, Mir, Adil Aslam, Daud, Ali, Rafique, Muhammad, Bukhari, Amal

“…Addressing the challenge of missing values is a critical step when preparing and analyzing data. This process, known as imputation, helps ensure the dataset is…”
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Correction to: Anomaly Classification for Earthquake Prediction in Radon Time Series Data Using Stacking and Automatic Anomaly Indication Function by Mir, Adil Aslam, Çelebi, Fatih Vehbi, Rafique, Muhammad, Faruque, M. R. I., Khandaker, Mayeen Uddin, Kearfott, Kimberlee Jane, Ahmad, Pervaiz

“…A correction to this paper has been published: https://doi.org/10.1007/s00024-021-02764-5…”
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Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option by Mir, Adil Aslam, Hussain, Lal, Waseem, Muhammad Hammad, Aldweesh, Amjad, Rasheed, Saim, Yousef, El Sayed, Nadeem, Malik Sajjad Ahmed, Eldin, Elsayed Tag

“…In medical field, accurate decisions are very important as they risk human lives. decision support system (DSS) plays important role in making accurate…”
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Anomalies Prediction in Radon Time Series for Earthquake Likelihood Using Machine Learning-Based Ensemble Model by Mir, Adil Aslam, Celebi, Fatih Vehbi, Alsolai, Hadeel, Qureshi, Shahzad Ahmad, Rafique, Muhammad, Alzahrani, Jaber S., Mahgoub, Hany, Hamza, Manar Ahmed

“…The ability to predict the radioactive soil radon gas concentration is important for human beings because it serves as a precursor to earthquakes. Several…”
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An Improved Imputation Method for Accurate Prediction of Imputed Dataset Based Radon Time Series by Mir, Adil Aslam, Celebi, Fatih Vehbi, Rafique, Muhammad, Hussain, Lal, Almasoud, Ahmed S., Alajmi, Masoud, Al-Wesabi, Fahd N., Hilal, Anwer Mustafa

“…This article primarily focuses on the performance evaluation of a new methodology, imputation by feature importance (IBFI), to serve its imputed dataset in…”
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A Novel Hybrid Learning System Using Modified Breaking Ties Algorithm and Multinomial Logistic Regression for Classification and Segmentation of Hyperspectral Images by Shah, Syed Taimoor Hussain, Qureshi, Shahzad Ahmad, Rehman, Aziz ul, Shah, Syed Adil Hussain, Amjad, Arslan, Mir, Adil Aslam, Alqahtani, Amal, Bradley, David A., Khandaker, Mayeen Uddin, Faruque, Mohammad Rashed Iqbal, Rafique, Muhammad

“…A new methodology, the hybrid learning system (HLS), based upon semi-supervised learning is proposed. HLS categorizes hyperspectral images into segmented…”
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Classification of rocks radionuclide data using machine learning techniques by Khan, Abdul Razzaq, Mir, Adil Aslam, Saeed, Sharjil, Rafique, Muhammad, Asim, Khawaja M., Iqbal, Talat, Jabbar, Abdul, Rahman, Saeed Ur

“…The aim of this study is to assess the performance of linear discriminate analysis, support vector machines (SVMs) with linear and radial basis, classification…”
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Imputation by feature importance by Mir, Adil Aslam, Kearfott, Kimberlee Jane, Çelebi, Fatih Vehbi, Rafique, Muhammad

“…A new methodology, imputation by feature importance (IBFI), is studied that can be applied to any machine learning method to efficiently fill in any missing or…”
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Multifractal detrended cross-correlation analysis of radioactivity borne radon, thoron and meteorological time series by Rafique, Muhammad, Iqbal, Javid, Lone, Kashif Javed, Mir, Adil Aslam, Kearfott, Kimberlee Jane, Iqbal, Amjad, Qureshi, Shahzad Ahmad, Abbasi, Shahab Ahmad, Nikolopoulos, Dimitrios, khan, Taj Muhammad

“…Owing to the potential health threats due to sustained exposure from the radioactivity born radon and thoron gases and their applications, especially radon as…”
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K-means and K-medoids: Cluster Analysis on Birth Data Collected in City Muzaffarabad, Kashmir by Abbas, Syed Ali, Mir, Adil Aslam, Rehman, Aqeel Ur, Abbasi, Wajid Arshad, Arif, Saeed, Hassan, Zaki

“…In the field of medical, each and every analysis is decisive as the study links to life of the subject under observation. One of the most vital area in the…”
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