Showing 941 - 960 results of 5,332 for search 'Grammy~', query time: 3.41s Refine Results
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    Klasifikasi Citra Sampah Menggunakan Support Vector Machine dengan Ekstraksi Fitur Gray Level Co-Occurrence Matrix dan Color Moments by Iffa Zainan Nisa, Sukmawati Nur Endah, Priyo Sidik Sasongko, Retno Kusumaningrum, Khadijah Khadijah, Rismiyati Rismiyati

    Published 2022-10-01
    “…This study proposes waste image classification using Support Vector Machine (SVM) with Gray Level Co-Occurrence Matrix (GLCM) and Color Moments as the features. …”
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    Impact of rapid antibiotic susceptibility testing for Gram-negative bacteremia varies by pathogen type and resistance: a secondary analysis of the RAPIDS GN trial by Ritu Banerjee, Abhigya Giri, Lauren Komarow, Maria Souli, Sarah B. Doernberg, Robin Patel

    Published 2025-02-01
    “…ABSTRACT In this secondary analysis of 386 subjects with Gram-negative bacteremia enrolled in the RAPIDS GN trial, rapid antibiotic susceptibility testing had a greater benefit on the management of bacteremia caused by antibiotic-resistant compared to antibiotic-susceptible isolates, especially for Escherichia coli, Klebsiella species, and Proteus species.IMPORTANCERapid blood culture diagnostics are costly, and their use has not demonstrated clear clinical benefit for patients with Gram-negative sepsis, possibly because prior trials did not enroll sufficient numbers of patients with antibiotic-resistant infections. …”
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    Design, synthesis and molecular modeling study of substituted indoline-2-ones and spiro[indole-heterocycles] with potential activity against Gram-positive bacteria by Radwan Awwad Abdoh, Aanazi Fares Kaed, Al-Agamy Mohammed, Mahrous Gamal Mohammad

    Published 2022-03-01
    “…The compounds were more active against Gram-positive bacteria, Staphylococcus aureus (MIC = 0.026–0.226 mmol L−1) and Bacillus subtilis (MIC = 0.348–1.723 mmol L–1) than against Gram-negative bacteria (MIC = 0.817–7.393 mmol L–1). …”
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    Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization by Manoharan Subramanian, Velmurugan Lingamuthu, Chandran Venkatesan, Sasikumar Perumal

    Published 2022-01-01
    “…In this paper, a new approach for Content-Based Image Retrieval (CBIR) has been addressed by extracting colour, gray, advanced texture, and shape features for input query images. …”
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