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Kimberlee Jane Kearfott

Showing results (1-10 of 8) with videos related to

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Journal of Environmental Radioactivity|April 13, 2011
A method for determining the analytical form of a radionuclide depth distribution using multiple gamma spectrometry measurementsSteven Clifford Dewey, Zachary David Whetstone, Kimberlee Jane Kearfott
Plos One|January 13, 2022
Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series dataAdil Aslam Mir, Kimberlee Jane Kearfott, Fatih Vehbi Çelebi, et al.
Environmental Science and Pollution Research International|July 4, 2019
Experimental study of the effect of water level and wind speed on radon exhalation of uranium tailings from heap leaching uranium minesYongjun Ye, Guangling Chen, Xintao Dai, et al.
Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine|September 2, 2019
Descriptive analysis and earthquake prediction using boxplot interpretation of soil radon time series dataAleem Dad Khan Tareen, Malik Sajjad Ahmed Nadeem, Kimberlee Jane Kearfott, et al.
Scientific Reports|February 22, 2020
Delegated Regressor, A Robust Approach for Automated Anomaly Detection in the Soil Radon Time Series DataMuhammad Rafique, Aleem Dad Khan Tareen, Adil Aslim Mir, et al.
Journal of Environmental Radioactivity|September 13, 2023
Corrigendum to "Automated anomalous behaviour detection in soil radon gas prior to earthquakes using computational intelligence techniques" [J. Environ. Radioact. 203 (2019) 48-54]Aleem Dad Khan Tareen, Asim Khawaja, Kimberlee Jane Kearfott, et al.
Journal of Environmental Radioactivity|March 13, 2019
Automated anomalous behaviour detection in soil radon gas prior to earthquakes using computational intelligence techniquesAleem Dad Khan Tareen, Khawaja M Asim, Kimberlee Jane Kearfott, et al.
Isotopes in Environmental and Health Studies|August 28, 2025
Predictive modelling of radon variations in time series using wavelets, multiple linear regression and ARIMANadeem Bashir, Awais Rasheed, Muhammad Osama, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Environmental Radioactivity|April 13, 2011
A method for determining the analytical form of a radionuclide depth distribution using multiple gamma spectrometry measurementsSteven Clifford Dewey, Zachary David Whetstone, Kimberlee Jane Kearfott
Plos One|January 13, 2022
Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series dataAdil Aslam Mir, Kimberlee Jane Kearfott, Fatih Vehbi Çelebi, et al.
Environmental Science and Pollution Research International|July 4, 2019
Experimental study of the effect of water level and wind speed on radon exhalation of uranium tailings from heap leaching uranium minesYongjun Ye, Guangling Chen, Xintao Dai, et al.
Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine|September 2, 2019
Descriptive analysis and earthquake prediction using boxplot interpretation of soil radon time series dataAleem Dad Khan Tareen, Malik Sajjad Ahmed Nadeem, Kimberlee Jane Kearfott, et al.
Scientific Reports|February 22, 2020
Delegated Regressor, A Robust Approach for Automated Anomaly Detection in the Soil Radon Time Series DataMuhammad Rafique, Aleem Dad Khan Tareen, Adil Aslim Mir, et al.
Journal of Environmental Radioactivity|September 13, 2023
Corrigendum to "Automated anomalous behaviour detection in soil radon gas prior to earthquakes using computational intelligence techniques" [J. Environ. Radioact. 203 (2019) 48-54]Aleem Dad Khan Tareen, Asim Khawaja, Kimberlee Jane Kearfott, et al.
Journal of Environmental Radioactivity|March 13, 2019
Automated anomalous behaviour detection in soil radon gas prior to earthquakes using computational intelligence techniquesAleem Dad Khan Tareen, Khawaja M Asim, Kimberlee Jane Kearfott, et al.
Isotopes in Environmental and Health Studies|August 28, 2025
Predictive modelling of radon variations in time series using wavelets, multiple linear regression and ARIMANadeem Bashir, Awais Rasheed, Muhammad Osama, et al.
Pageof 1