Search Results - "Islam, Kazi Aminul"
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SN-FPN: Self-Attention Nested Feature Pyramid Network for Digital Pathology Image Segmentation
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 -
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Improve Adversarial Robustness of AI Models in Remote Sensing via Data-Augmentation and Explainable-AI Methods
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 -
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Flood Detection Using Multi-Modal and Multi-Temporal Images: A Comparative Study
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 -
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Converting Optical Videos to Infrared Videos Using Attention GAN and Its Impact on Target Detection and Classification Performance
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 -
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Sub-Band Backdoor Attack in Remote Sensing Imagery
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 -
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Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery
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 -
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Semi-supervised Adversarial Domain Adaptation for Seagrass Detection Using Multispectral Images in Coastal Areas
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 -
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On Use of Independent Component Analysis for Ocular Artifacts Reduction of Electroencephalogram and while Using Kurtosis as the Threshold
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 -
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High-Performance Remote Radioactive Material Identification of Mixtures
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 -
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Toxicity assessment of heavy metals translocation in maize grown in the Ganges delta floodplain soils around the Payra power plant in Bangladesh
Published in Food and chemical toxicology (01-11-2024)“…As a cereal crop, maize ranked third place after wheat and rice in terms of land area coverage for its cultivation, and in Bangladesh, it ranked second place…”
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Journal Article -
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Independent Component Analysis for EOG artifacts minimization of EEG signals using kurtosis as a threshold
Published in 2015 2nd International Conference on Electrical Information and Communication Technologies (EICT) (01-12-2015)“…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 -
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Deep Learning Approaches for Seagrass Detection in Multispectral Imagery
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 -
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Rapid quantification of biofouling with an inexpensive, underwater camera and image analysis
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 -
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Development of Trustable Deep Learning Model in Remote Sensing through Explainable-AI Method Selection
Published in 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (12-10-2023)“…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 -
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Independent component analysis for EOG artifacts minimization of EEG signals using kutosis as a threshold
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
Securing AI of Healthcare: A Selective Review on Identifying and Preventing Adversarial Attacks
Published in 2024 IEEE Opportunity Research Scholars Symposium (ORSS) (15-04-2024)“…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 -
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Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study
Published in 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (01-10-2019)“…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 -
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A Transfer Learning Approach for the 2018 FEMH Voice Data Challenge
Published in 2018 IEEE International Conference on Big Data (Big Data) (01-12-2018)“…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 -
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Targeted Transfer Learning: Leveraging Optimal Transport for Enhanced Knowledge Transfer
Published in 2024 International Conference on Computing, Networking and Communications (ICNC) (19-02-2024)“…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 -
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Semi-Supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images
Published in 2019 IEEE International Conference on Data Mining (ICDM) (01-11-2019)“…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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Conference Proceeding