Search Results - "Islam, Kazi Aminul"

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  1. 1

    SN-FPN: Self-Attention Nested Feature Pyramid Network for Digital Pathology Image Segmentation by Lee, Sanghoon, Aminul Islam, Kazi, Chandana Koganti, Sai, Yaganti, Varshini, Ramya Sri Mamillapalli, Sai, Vitalos, Hannah, Williamson, Drew F. K.

    Published in IEEE access (2024)
    “…Digital pathology has played a key role in replacing glass slides with digital images, enhancing various pathology workflows. Whole slide images are digitized…”
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    Journal Article
  2. 2

    Improve Adversarial Robustness of AI Models in Remote Sensing via Data-Augmentation and Explainable-AI Methods by Tasneem, Sumaiya, Islam, Kazi Aminul

    Published in Remote sensing (Basel, Switzerland) (01-09-2024)
    “…Artificial intelligence (AI) has made remarkable progress in recent years in remote sensing applications, including environmental monitoring, crisis…”
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    Journal Article
  3. 3

    Flood Detection Using Multi-Modal and Multi-Temporal Images: A Comparative Study by Islam, Kazi Aminul, Uddin, Mohammad Shahab, Kwan, Chiman, Li, Jiang

    Published in Remote sensing (Basel, Switzerland) (01-08-2020)
    “…Natural disasters such as flooding can severely affect human life and property. To provide rescue through an emergency response team, we need an accurate…”
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    Journal Article
  4. 4

    Converting Optical Videos to Infrared Videos Using Attention GAN and Its Impact on Target Detection and Classification Performance by Uddin, Mohammad Shahab, Hoque, Reshad, Islam, Kazi Aminul, Kwan, Chiman, Gribben, David, Li, Jiang

    Published in Remote sensing (Basel, Switzerland) (01-08-2021)
    “…To apply powerful deep-learning-based algorithms for object detection and classification in infrared videos, it is necessary to have more training data in…”
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    Journal Article
  5. 5

    Sub-Band Backdoor Attack in Remote Sensing Imagery by Islam, Kazi Aminul, Wu, Hongyi, Xin, Chunsheng, Ning, Rui, Zhu, Liuwan, Li, Jiang

    Published in Algorithms (01-05-2024)
    “…Remote sensing datasets usually have a wide range of spatial and spectral resolutions. They provide unique advantages in surveillance systems, and many…”
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    Journal Article
  6. 6

    Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery by Hill, Victoria J, Zimmerman, Richard C, Bissett, Paul, Kohler, David, Schaeffer, Blake, Coffer, Megan, Li, Jiang, Islam, Kazi Aminul

    Published in Remote sensing (Basel, Switzerland) (26-09-2023)
    “…Mapping the seagrass distribution and density in the underwater landscape can improve global Blue Carbon estimates. However, atmospheric absorption and…”
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    Journal Article
  7. 7

    Semi-supervised Adversarial Domain Adaptation for Seagrass Detection Using Multispectral Images in Coastal Areas by Islam, Kazi Aminul, Hill, Victoria, Schaeffer, Blake, Zimmerman, Richard, Li, Jiang

    Published in Data science and engineering (01-06-2020)
    “…Seagrass form the basis for critically important marine ecosystems. Previously, we implemented a deep convolutional neural network (CNN) model to detect…”
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    Journal Article
  8. 8

    On Use of Independent Component Analysis for Ocular Artifacts Reduction of Electroencephalogram and while Using Kurtosis as the Threshold by Islam, Kazi Aminul, Tcheslavski, Gleb

    Published in Bioautomation (2017)
    “…Brain electrical activity commonly represented by the Electroencephalogram (EEG), due to its miniscule amplitude (on the order of a hundred microvolts), is…”
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    Journal Article
  9. 9

    High-Performance Remote Radioactive Material Identification of Mixtures by Ayhan, Bulent, Kwan, Chiman, Islam, Kazi Aminul, Stavola, Adam, Hendry, Steven, Li, Jiang

    Published in IEEE transactions on nuclear science (01-01-2022)
    “…Detecting radioactive materials in mixtures is challenging due to low concentration, environmental factors, sensor noise, and others. This article presents new…”
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    Journal Article
  10. 10
  11. 11

    Independent Component Analysis for EOG artifacts minimization of EEG signals using kurtosis as a threshold by Islam, Kazi Aminul, Tcheslavski, Gleb V.

    “…Brain electrical activity commonly represented by the Electroencephalogram (EEG), due to its miniscule amplitude (on the order of a hundred microvolts), is…”
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    Conference Proceeding
  12. 12

    Deep Learning Approaches for Seagrass Detection in Multispectral Imagery by Islam, Kazi Aminul

    Published 01-01-2021
    “…Seagrass forms the basis for critically important marine ecosystems. Seagrass is an important factor to balance marine ecological systems, and it is of great…”
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    Dissertation
  13. 13

    Rapid quantification of biofouling with an inexpensive, underwater camera and image analysis by First, Matthew, Riley, Scott, Islam, Kazi Aminul, Hill, Victoria, Li, Jiang, Zimmerman, Richard, Drake, Lisa

    Published in Management of biological invasions (01-09-2021)
    “…To reduce the transport of potentially invasive species on ships’ submerged surfaces, rapid—and accurate—estimates of biofouling are needed so shipowners and…”
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    Journal Article
  14. 14

    Development of Trustable Deep Learning Model in Remote Sensing through Explainable-AI Method Selection by Tasneem, Sumaiya, Islam, Kazi Aminul

    “…Remote sensing-based sensors are considered a pivotal medium to monitor remote objects by security-critical government organizations, e.g., DOD, DHS, and EPA…”
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    Conference Proceeding
  15. 15

    Independent component analysis for EOG artifacts minimization of EEG signals using kutosis as a threshold by Islam, Kazi Aminul

    Published 01-01-2016
    “…Brain electrical activity commonly represented by the Electroencephalogram (EEG), due to its miniscule amplitude (on the order of a hundred microvolts), is…”
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    Dissertation
  16. 16

    Securing AI of Healthcare: A Selective Review on Identifying and Preventing Adversarial Attacks by Ravikumar, Sanjaykrishnan, Tasneem, Sumaiya, Sakib, Nazmus, Islam, Kazi Aminul

    “…The growing use of AI in healthcare enables doctors to swiftly uncover illness patterns that they might have overlooked initially, especially in medical images…”
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    Conference Proceeding
  17. 17

    Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study by Burks, Roland, Islam, Kazi Aminul, Lu, Yan, Li, Jiang

    “…Generative Models have been very accommodating when it comes to generating artificial data. Two of the most popular and promising models are the Generative…”
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    Conference Proceeding
  18. 18

    A Transfer Learning Approach for the 2018 FEMH Voice Data Challenge by Islam, Kazi Aminul, Perez, Daniel, Li, Jiang

    “…Human voice could be significantly affected by neoplasm, vocal palsy, and phono-trauma diseases. Computer aided diagnosis by analyzing human voice can be a…”
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    Conference Proceeding
  19. 19

    Targeted Transfer Learning: Leveraging Optimal Transport for Enhanced Knowledge Transfer by Ahamed, Sayyed Farid, Islam, Kazi Aminul, Shetty, Sachin

    “…Machine learning models are often built based on the notion that the labeled training data follows the same underlying distribution of the testing dataset…”
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    Conference Proceeding
  20. 20

    Semi-Supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images by Islam, Kazi Aminul, Hill, Victoria, Schaeffer, Blake, Zimmerman, Richard, Li, Jiang

    “…Seagrass form the basis for critically important marine ecosystems. Previously, we implemented a deep convolutional neural network (CNN) model to detect…”
    Get full text
    Conference Proceeding