Tabrej Khan

Employment

• Ala-Too International University Associate Professor
  2026 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Deep Transfer Learning Techniques-Based Automated Classification and Detection of Pulmonary Fibrosis from Chest CT Images
  Processes 2023 DOI: 10.3390/pr11020443
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• A Hybrid Machine Learning Approach to Screen Optimal Predictors for the Classification of Primary Breast Tumors from Gene Expression Microarray Data
  Diagnostics 2023 DOI: 10.3390/diagnostics13040708
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• A Hybrid Feature Selection Approach to Screen a Novel Set of Blood Biomarkers for Early COVID-19 Mortality Prediction
  Diagnostics 2022 DOI: 10.3390/diagnostics12071604
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• Application of Two-Class Neural Network-based classification model to predict the onset of Thyroid Disease
  2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) 2021 DOI: 10.1109/confluence51648.2021.9377097
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• Cross-sectional Type 2 Diabetes Survey of Saudi Arabia (Western Province)
  2020 DOI: 10.21227/PP15-5G05
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• An Ensemble-Learning Based Application to Predict the Earlier Stages of Alzheimer’s disease (AD)
  IEEE Access 2020 DOI: 10.1109/ACCESS.2020.3043715
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• SHORT COURSES ELEARNING SYSTEM
  INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH 2019 DOI: 10.21276/ijcesr.2019.6.12.1
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• A supervised classifier based chemoinformatics model to predict inhibitors essential for sexual reproduction and transmission of the P. falciparum parasite into mosquitoes
  International Journal of ADVANCED AND APPLIED SCIENCES 2019 DOI: 10.21833/ijaas.2019.10.011
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• Machine Learning Method To Screen Inhibitors of Virulent Transcription Regulator of Salmonella Typhi
  International Journal of Advanced Computer Science and Applications 2018 DOI: 10.14569/ijacsa.2018.090235
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• APPLICATION OF MACHINE LEARNING BASED RANDOM FOREST REGRESSOR IN IMAGE DEHAZING
  International Journal of Advanced Research in Computer Science 2018 DOI: 10.26483/ijarcs.v9i1.5312
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