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    SpeciMate: Improving metadata extraction from digitised biological specimens by Alan Stenhouse, Peter Thrall

    Published 2025-07-01
    “…The digitisation of natural history collections represents a critical step towards preserving and increasing accessibility to valuable scientific data. Despite their fundamental importance to taxonomy, ecology and conservation, the world’s natural history collections remain underutilised due to the labour-intensive process of extracting metadata from specimen labels.This paper describes SpeciMate, a software application that uses a human-AI collaborative approach to accelerate the extraction of metadata from digitised specimen images. …”
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    “A comprehensive review of AI-enhanced decision making: An empirical analysis for optimizing medication market business” by Zainab Nadhim Jawad, Dr. Villányi Balázs János

    Published 2025-06-01
    “…Further, empirical results highlight the transformative role of AI techniques in optimizing ERP functionalities and supporting data-driven decision-making. This research provides actionable insights for enterprises aiming to integrate ML techniques into ERP systems to enhance business performance.…”
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