Exploring the Potential of Multispectral Imaging for Automatic Clustering of Archeological Wall Painting Fragments. [PDF]
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Malware Image Classification using Machine Learning with Local Binary Pattern
, 2018 Malware classification is a critical part in the cybersecurity. Traditional methodologies for the malware classification typically use static analysis and dynamic analysis to identify malware.
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Automated Detection of COVID-19 Using Machine Learning Analysis of White Blood Cell Flow Cytometry Images. [PDF]
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Improving Skin Lesion Diagnosis: A Hybrid Approach Using Orthogonal Combination of Local Binary Pattern Features and Ensemble Learning for Diagnostic Accuracy. [PDF]
J Med Signals SensRahmani N, Ebrahimnezhad H.
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Enhanced content-based image retrieval via hybrid color, texture, and deep learning features. [PDF]
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Automatic Infant Movement Assessment Using Pose-LBP Features and a Cost-Sensitive Subspace kNN Ensemble. [PDF]
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A New Feature Set for Texture-Based Classification of Remotely Sensed Images in a Quantum Framework. [PDF]
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An effective study on the diagnosis of colon cancer with the developed local binary pattern method. [PDF]
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A deep learning framework for lesion-level treatment response prediction in hodgkin lymphoma using PET/CT tensor radiomics. [PDF]
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Optimized fault-tolerant data processing module for high-reliability CNN accelerator. [PDF]
PLoS OneYoon SK, Lee SH, Jo J, Lee YW.
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