Showing 7,101 - 7,120 results of 7,463 for search 'computer science practical', query time: 0.20s Refine Results
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    Advancing plant biomass measurements: Integrating smartphone‐based 3D scanning techniques for enhanced ecosystem monitoring by Peter Dietrich, Melanie Elias, Peter Dietrich, Stanley Harpole, Christiane Roscher, Jan Bumberger

    Published 2025-08-01
    “…This method's innovation extends beyond traditional practices with implications for future integration of AI to automate species segmentation, ecological trait extraction and predictive modelling. …”
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    Interpretations of Ontologies for Breast Cancer by Srinandan Dasmahapatra, Kieron O’Hara

    Published 2008-07-01
    “…There are increasing efforts directed at providing formal frameworks to consolidate the widening net of terms and relations used in medical practice. While there are many reasons for this, the need for standardisation of protocol and terminology is critical, not only for the provision of uniform levels of health care, but also to facilitate medical science research. …”
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    Artificial Intelligence With Neural Network Algorithms in Pediatric Astrocytoma Diagnosis: A Systematic Review by Floresya K. Farmawati, Della W.A. Nurwakhid, Tifani A. Pradhea, Rayyan Fitriasa, Hutami H. Arrahmi, Muhana F. Ilyas, Fadhilah T. Nur

    Published 2025-02-01
    “…Recent advancements in artificial intelligence (AI), particularly neural network algorithms, have been studied for their precision and efficiency in medical diagnostics via effectively analyzing imaging data to identify patterns and anomalies.Objective: To systematically review AI-based diagnostic tools with neural network algorithms’ methodologies, sensitivities, specificities, and potential clinical integration for pediatric astrocytoma, providing a consolidated perspective on their overall performance and impact on clinical decision-making.Methods: As per PRISMA 2020 guidelines, we conducted a comprehensive search in PubMed, Scopus, and ScienceDirect on February 5, 2024. The search strategy was guided by a PECO question focusing on pediatric astrocytoma diagnosis using AI algorithms vs computed tomography or magnetic resonance imaging (MRI). …”
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