Showing 201 - 220 results of 20,691 for search 'detection process', query time: 0.21s Refine Results
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    Text similarity detection method based on NLP by Xiaoli DAI, Shifeng LIU, Daqing GONG

    Published 2021-10-01
    “…Current text similarity detection methods that ignore document structure information and lack semantic relevance.To solve these problems, a text-oriented similarity detection method was proposed.First, analytic hierarchy process (AHP) was used to calculate word position weight to extract feature words.Second, the Pearson correlation coefficient was used to measure semantic correlation between words which was the weight of generalized Dice coefficient to calculate similarity.Experimental results show that the proposed method can improve the precision of feature word extraction and the accuracy of similarity calculation results.…”
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  5. 205

    Text similarity detection method based on NLP by Xiaoli DAI, Shifeng LIU, Daqing GONG

    Published 2021-10-01
    “…Current text similarity detection methods that ignore document structure information and lack semantic relevance.To solve these problems, a text-oriented similarity detection method was proposed.First, analytic hierarchy process (AHP) was used to calculate word position weight to extract feature words.Second, the Pearson correlation coefficient was used to measure semantic correlation between words which was the weight of generalized Dice coefficient to calculate similarity.Experimental results show that the proposed method can improve the precision of feature word extraction and the accuracy of similarity calculation results.…”
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    Article
  6. 206

    The Journey of Artificial Intelligence in Food Authentication: From Label Attribute to Fraud Detection by Dana Alina Magdas, Ariana Raluca Hategan, Maria David, Camelia Berghian-Grosan

    Published 2025-05-01
    “…This comprehensive review aims to emphasize the main pillars for applying AI for food authentication: (i) food classification; (ii) detection of subtle adulteration through extraneous ingredient addition/substitution; and (iii) fast recognition tools development based on image processing. …”
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  7. 207

    A vision model for automated frozen tuna processing by Richeng Wang, Xiongsheng Zheng, Yan Chen

    Published 2025-01-01
    Subjects: “…Frozen tuna processing…”
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  8. 208

    Spatial Cluster Detection Under Dependent Random Environmental Effects by Walguen Oscar, Jean Vaillant

    Published 2025-01-01
    “…Overdispersion and spatial dependence must be taken into account in the modeling, otherwise the classical scan statistics method may lead to the detection of false clusters. Therefore, we consider that the observed counts are generated by a Cox process, allowing for overdispersion and spatial correlation. …”
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    Detecting non-neutral modules in species co-occurrence data: principles and application to plant communities by Fabien Laroche, Bodil Ehlers

    Published 2025-07-01
    “…Inferring assembly processes from species co-occurrence data is a long-standing challenge in community ecology. …”
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  12. 212

    Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security by Mateo Mejia-Herrera, Juan Botero-Valencia, José Ortega, Ruber Hernández-García

    Published 2025-01-01
    “…Edge processing is a trend in developing new technologies that leverage Artificial Intelligence (AI) without transmitting large volumes of data to centralized processing services. …”
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    Quality monitoring of hybrid welding processes: A comprehensive review by Solomon Habtamu Tessema, Dariusz Bismor

    Published 2024-12-01
    “…Artificial intelligence/Machine learning enables real-time analysis of welding parameters and defect detection, while digital twins offer virtual representations of physical welding processes, facilitating predictive maintenance and optimization. …”
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    Gap Detection Threshold in Children with Down Syndrome: A Brief Report by Fateme Sayyahi

    Published 2024-08-01
    “…Conclusion: Children with Down syndrome discriminate the sounds of syllables at higher thresholds compared to normal peers examined in previous studies. Increased gap detection threshold may be an underlying cause for low performance of these children in phonological processing. …”
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    Intrusion detection method based on machine learning by TIAN Xin-guang1, GAO Li-zhi2, ZHANG Er-yang1

    Published 2006-01-01
    Subjects: “…information processing technique…”
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