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A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography

Changhee Yun, Bomi Eom, Sungjun Park, Chanho Kim et al. • Sensors (2023)

In the medical field, it is delicate to anticipate good performance in using deep learning due to the lack of large-scale training data and class imbalance. In particular, ultrasound, which is a key breast cancer diagnosis method, is delica...

DOAJ Open Access (DOAJ) DOI: 10.3390/s23052864

Artificial Intelligence

Ibragim Esenovich Suleimenov, Yelizaveta Sergeevna Vitulyova, Akhat Serikuly Bakirov, Oleg Gabrielyan • International Conference on Computer Technology Applications (ICCTA) (2020)

Based on the principle of dialectic symmetry formulated by the philosophy of dialectic positivism, an interpretation of the concept of "artificial intelligence" is proposed. This principle assumes the existence of a hierarchy of information...

OPENALEX DOI: https://doi.org/10.1145/3397125.3397141

Evaluating Artificial Intelligence’s Role in Developing Research Questions in Head and Neck Reconstruction

Sebastian Holm, MD, Mario Zambrana, MD, Juan E. Berner, MD, PhD, Reza Tabrisi, MD et al. • Plastic and Reconstructive Surgery, Global Open (2025)

Summary:. Generative artificial intelligence (AI) large language models are an emerging technology, with ChatGPT and Gemini being 2 well-known examples. The current literature discusses clinical applications and limitations of AI, but its r...

DOAJ Open Access (DOAJ) DOI: 10.1097/GOX.0000000000007057

Extracting behavioral patterns of people in crowdfunding projects using artificial intelligence and identify key investors

Musa Hajiani, Ehsan Eshtehardian, Mojtaba Azizi • بهبود مدیریت (2025)

Crowdfunding as a new method has an important contribution to projects, especially for small and medium-sized businesses. Despite the many years of activity of crowdfunding platforms in Iran, the scale of projects and the volume of capital ...

DOAJ Open Access (DOAJ) DOI: 10.22034/jmi.2025.463212.3109

Electromagnetic Field Distribution Mapping: A Taxonomy and Comprehensive Review of Computational and Machine Learning Methods

Yiannis Kiouvrekis, Theodor Panagiotakopoulos • Computers (2025)

Electromagnetic field (EMF) exposure mapping is increasingly important for ensuring compliance with safety regulations, supporting the deployment of next-generation wireless networks, and addressing public health concerns. While numerous su...

DOAJ Open Access (DOAJ) DOI: 10.3390/computers14090373