Results 211 to 220 of about 43,543,488 (268)
Machine learning approaches in automated infant General Movements Assessment: A scoping review
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur +4 more
wiley +1 more source
Microsatellite/SSR dataset: characterization of pear cultivars of the German Fruit Genebank. [PDF]
Broschewitz L +4 more
europepmc +1 more source
Abstract Providing replication code is an inexpensive way to facilitate reproducibility. However, little is known about the extent of replication code provision. Therefore, we examine the availability of replication code for over 2500 peer‐reviewed articles based on the German Socio‐Economic Panel (SOEP), one of the most widely used datasets in ...
Lukas Fink, Jan Marcus
wiley +1 more source
The evolving role of DICOM in digital pathology. [PDF]
Cornish TC +4 more
europepmc +1 more source
ABSTRACT Background/Aim Traumatic dental injuries (TDIs) are a common occurrence in children. They vary in their severity, management can be complex, and various settings may be accessed by families for management. The care pathway to manage TDIs in children varies across the UK, with little understanding of these pathways and the impact they have on ...
Nathalie Gallichan +4 more
wiley +1 more source
A Benchmark Corpus of Yemeni Proverbs for Figurative and Cultural Language Modeling. [PDF]
Thmer N +3 more
europepmc +1 more source
Women in business: Gender and commercial space in nineteenth‐century Glasgow
Abstract Focusing on women entrepreneurs in a large British city, we examine how women's commercially listed businesses populated that city. Using commercial property rental records, our study allows us to understand sectoral variation and the distribution of businesses across the city and to assess both the absolute and relative contribution of women ...
Graeme Acheson +2 more
wiley +1 more source
Explainable machine learning for breast cancer prediction in resource-constrained settings: A multi-algorithmic framework integrating shap-based transparency with clinical decision support. [PDF]
Bamodu OA, Nezam S, Chung CC.
europepmc +1 more source
Paving the way for incumbents' digital transformation. A review and research agenda
Abstract Digital transformation is reshaping the competitive landscape by forcing incumbent firms to rethink their strategies, organizational structures, and business models. While a substantial body of literature has explored digital transformation in specific sectors, focusing on various factors and organizational mechanisms, there remains a lack of ...
Anna Bastone +3 more
wiley +1 more source

