Showing 1 - 20 results of 67 for search 'Kil To Chong', query time: 0.06s Refine Results
  1. 1
    iProm-phage: A two-layer model to identify phage promoters and their types using a convolutional neural network

    iProm-phage: A two-layer model to identify phage promoters and their types using a convolutional neural network by Muhammad Shujaat, Joe Sung Jin, Hilal Tayara, Kil To Chong, Kil To Chong

    Published 2022-11-01
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  2. 2
    Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network

    Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network by Hilal Tayara, Kil To Chong

    Published 2018-10-01
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  3. 3
    DNA6mA-MINT: DNA-6mA Modification Identification Neural Tool

    DNA6mA-MINT: DNA-6mA Modification Identification Neural Tool by Mobeen Ur Rehman, Kil To Chong

    Published 2020-08-01
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  4. 4
    Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets

    Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets by Keerthana Jaganathan, Hilal Tayara, Kil To Chong

    Published 2021-07-01
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  5. 5
    ENet-6mA: Identification of 6mA Modification Sites in Plant Genomes Using ElasticNet and Neural Networks

    ENet-6mA: Identification of 6mA Modification Sites in Plant Genomes Using ElasticNet and Neural Networks by Zeeshan Abbas, Hilal Tayara, Kil To Chong

    Published 2022-07-01
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  6. 6
    Identification of miRNA-Small Molecule Associations by Continuous Feature Representation Using Auto-Encoders

    Identification of miRNA-Small Molecule Associations by Continuous Feature Representation Using Auto-Encoders by Ibrahim Abdelbaky, Hilal Tayara, Kil To Chong

    Published 2021-12-01
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  7. 7
    SpineNet-6mA: A Novel Deep Learning Tool for Predicting DNA N6-Methyladenine Sites in Genomes

    SpineNet-6mA: A Novel Deep Learning Tool for Predicting DNA N6-Methyladenine Sites in Genomes by Zeeshan Abbas, Hilal Tayara, Kil to Chong

    Published 2020-01-01
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  8. 8
    Active vibration on offshore steel jacket platforms including delayed probabilistic actuator failures and resilient reliable sampled‐data control

    Active vibration on offshore steel jacket platforms including delayed probabilistic actuator failures and resilient reliable sampled‐data control by R. Manivannan, Yang Cao, Kil To Chong

    Published 2022-10-01
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  9. 9
    Unveiling dominant recombination loss in perovskite solar cells with a XGBoost-based machine learning approach

    Unveiling dominant recombination loss in perovskite solar cells with a XGBoost-based machine learning approach by Basir Akbar, Hilal Tayara, Kil To Chong

    Published 2024-03-01
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  10. 10
    A Real-Time Marker-Based Visual Sensor Based on a FPGA and a Soft Core Processor

    A Real-Time Marker-Based Visual Sensor Based on a FPGA and a Soft Core Processor by Hilal Tayara, Woonchul Ham, Kil To Chong

    Published 2016-12-01
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  11. 11
    4mCPred-CNN—Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network

    4mCPred-CNN—Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network by Zeeshan Abbas, Hilal Tayara, Kil To Chong

    Published 2021-02-01
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  12. 12
    An Explainable Supervised Machine Learning Model for Predicting Respiratory Toxicity of Chemicals Using Optimal Molecular Descriptors

    An Explainable Supervised Machine Learning Model for Predicting Respiratory Toxicity of Chemicals Using Optimal Molecular Descriptors by Keerthana Jaganathan, Hilal Tayara, Kil To Chong

    Published 2022-04-01
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  13. 13
    Identifying Enhancers and Their Strength by the Integration of Word Embedding and Convolution Neural Network

    Identifying Enhancers and Their Strength by the Integration of Word Embedding and Convolution Neural Network by Jhabindra Khanal, Hilal Tayara, Kil To Chong

    Published 2020-01-01
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  14. 14
    PUResNet: prediction of protein-ligand binding sites using deep residual neural network

    PUResNet: prediction of protein-ligand binding sites using deep residual neural network by Jeevan Kandel, Hilal Tayara, Kil To Chong

    Published 2021-09-01
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  15. 15
    i4mC-Deep: An Intelligent Predictor of N4-Methylcytosine Sites Using a Deep Learning Approach with Chemical Properties

    i4mC-Deep: An Intelligent Predictor of N4-Methylcytosine Sites Using a Deep Learning Approach with Chemical Properties by Waleed Alam, Hilal Tayara, Kil To Chong

    Published 2021-07-01
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  16. 16
    Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional Networks

    Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional Networks by Mapopa Chipofya, Hilal Tayara, Kil To Chong

    Published 2021-11-01
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  17. 17
    Branch Point Selection in RNA Splicing Using Deep Learning

    Branch Point Selection in RNA Splicing Using Deep Learning by Iman Nazari, Hilal Tayara, Kil To Chong

    Published 2019-01-01
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  18. 18
    iMethyl-Deep: N6 Methyladenosine Identification of Yeast Genome with Automatic Feature Extraction Technique by Using Deep Learning Algorithm

    iMethyl-Deep: N6 Methyladenosine Identification of Yeast Genome with Automatic Feature Extraction Technique by Using Deep Learning Algorithm by Omid Mahmoudi, Abdul Wahab, Kil To Chong

    Published 2020-05-01
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  19. 19
    iPseU-CNN: Identifying RNA Pseudouridine Sites Using Convolutional Neural Networks

    iPseU-CNN: Identifying RNA Pseudouridine Sites Using Convolutional Neural Networks by Muhammad Tahir, Hilal Tayara, Kil To Chong

    Published 2019-06-01
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  20. 20
    Deep Probabilistic Learning Model for Prediction of Ionic Liquids Toxicity

    Deep Probabilistic Learning Model for Prediction of Ionic Liquids Toxicity by Mapopa Chipofya, Hilal Tayara, Kil To Chong

    Published 2022-05-01
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