Showing 21 - 40 results of 221 for search 'occurrence (quantification OR identification) features', query time: 0.15s Refine Results
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    Arabic Handwritten Signature Identification by Alaa Taqa, Hanaa Mahmood

    Published 2013-09-01
    “…The signature image is preprocessed by several operations (Noise removal, Conversion of the signature image to binary image, Finding outer rectangle, Thinning and Size normalization) then the fractal number and co-occurrence matrix are computed to estimate texture features. …”
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    Article
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    A Differential Biomarker Based on Recurrence Quantification Analysis of EEG Signal and Genetic Algorithm for Epilepsy Diagnosis by Vanithamani Palanisamy, A Ranichitra, Radhamani Ellapparaj

    Published 2024-06-01
    “…On the other hand, the features of divergence, trapping time and longest vertical line without occurrence of 100% accuracy yielded the poorest results. …”
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  4. 24

    Quantifying Microplastic Leaching from Paper Cups: A Specklegram Image Analytical Approach by Mankuzhy Anilkumar Rithwiq, Puthuparambil Anju Abraham, Mohanachandran Nair Sindhu Swapna, Sankaranarayana Iyer Sankararaman

    Published 2024-11-01
    “…The study indicates contrast as the potential sensitive specklegram feature for microplastics detection and quantification.…”
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  5. 25

    Specific emitter identification based on ITD and texture analysis by Dong-fang REN, Tao ZHANG, Jie HAN, Huan-huan WANG

    Published 2017-12-01
    “…To solve the defects of time-frequency analysis and poor separability of extracted features in specific emitter identification (SEI) based on Hilbert-Huang transform (HHT),a novel SEI method based on intrinsic time-scale decomposition(ITD)was proposed.ITD was utilized to decompose the emitter signals and get the time-frequency energy distribution(TFED)firstly,later the TFED spectrum was transformed into gray image and several image texture features through histogram statistic and gray-level co-occurrence matrix was extracted for identification.Measured ship communication signals and simulated emitter signals were used to test the performance of proposed method.Compared with another two SEI methods based on HHT,the proposed method is proved more effective in identification accuracy.…”
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    Lightning identification based on multiple weather radar product data by Mingyue Lu, Tongtong Dong, Min Chen, Manzhu Yu, Hui Liu, Caifen He, Jingke Zhang, Yongwei Mao

    Published 2025-08-01
    “…Therefore, conducting deep learning research on lightning based on radar data can reveal hidden relationships between lightning and thunderstorm characteristics, laying the foundation for lightning prediction on the basis of thunderstorm features. In this context, this paper proposes a lightning identification model, MLDYOLO, which integrates Mixed Local Channel Attention, Large Separable Kernel Attention, and Dynamic Head modules into the You Only Look Once version 8 model. …”
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    Systemic Identification of Hevea brasiliensis EST-SSR Markers and Primer Screening by Benjun Hou, Suping Feng, Yaoting Wu

    Published 2017-01-01
    “…The definition of general SSR features of Hevea EST splicing sequences and development of SSR primers founded the basis of diversity analysis and variety identification for Hevea tree resource. 1134 SSR loci were identified in the EST splicing sequence and distributed in 840 Unigene. …”
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    Mandibular torus as a potential piece in the human remains identification puzzle by Luciana Mendes Rocha, Eliana dos Santos Câmara-Pereira, Patricia Shirley de Almeida Prado

    Published 2025-04-01
    “…Although previous studies have demonstrated the use of non-metric cranial and postcranial features to support the process of human identification in forensic anthropology, recent and representative epidemiological data are crucial.…”
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    Hydrogen Sulfide Negative Salmonella and their Implication for Standard Culture-based Identification by Kingsley E. Bentum, Rejoice Nyarku, Emmanuel Kuufire, Temesgen Samuel, Charlene R. Jackson, Woubit Abebe

    Published 2025-06-01
    “…Specifically, we recommend parallel plating of suspect Salmonella cultures on both H2S-indicating media and non-H2S-based media, such as chromogenic agars, followed by the confirmation of both black and nonblack colonies.In conclusion, this review underscores the continued occurrence of H2S-negative Salmonella serovars and offers practical recommendations to enhance their detection, thereby supporting more comprehensive and accurate pathogen identification.…”
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    Bag of Feature-Based Ensemble Subspace KNN Classifier in Muscle Ultrasound Diagnosis of Diabetic Peripheral Neuropathy by Kadhim K. Al-Barazanchi, Ali H. Al-Timemy, Zahid M. Kadhim

    Published 2024-10-01
    “…Muscle ultrasound quantification is a valuable complementary diagnostic tool for diabetic peripheral neuropathy (DPN), enhancing physicians’ diagnostic capabilities. …”
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