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Description of the Training Process of Neural Networks via Ergodic Theorem : Ghost nodes

• Authors : Park, Eun-Ji; Yun, Sangwon

Subjects: Machine Learning; Artificial Intelligence

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Population-specific calibration and validation of an open-source bone age AI.

• Authors : Rassmann S; Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany.; German Center for Neurodegenerative Diseases, Bonn, Germany.

Subjects: Age Determination by Skeleton*/Age Determination by Skeleton*/Age Determination by Skeleton*/methods ; Artificial Intelligence*; Humans

• Source: Scientific reports [Sci Rep] 2025 Sep 23; Vol. 15 (1), pp. 32673. Date of Electronic Publication: 2025 Sep 23.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Transfer learning for accurate fetal organ classification from ultrasound images: a potential tool for maternal healthcare providers.

• Authors : Ghabri H; MACS Laboratory, National Engineering School of Gabes, University of Gabes, 6029, Gabès, Tunisia.; Alqahtani MS

Subjects: Artificial Intelligence* ; Maternal Health Services*; Ultrasonography, Prenatal/Ultrasonography, Prenatal/Ultrasonography, Prenatal/methods

• Source: Scientific reports [Sci Rep] 2023 Oct 20; Vol. 13 (1), pp. 17904. Date of Electronic Publication: 2023 Oct 20.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Artificial intelligence empowering museum space layout design: Insights from China.

• Authors : Tang Q; School of Design, Shunde Polytechnic, Shunde District, Foshan City, Guangdong Province, China.; Zheng L

Subjects: Museums* ; Artificial Intelligence*; Facility Design and Construction/Facility Design and Construction/Facility Design and Construction/methods

• Source: PloS one [PLoS One] 2024 Nov 07; Vol. 19 (11), pp. e0310594. Date of Electronic Publication: 2024 Nov 07 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Implementation of innovative technologies in the training process of martial artists ; Впровадження інноваційних технологій в тренувальний процес єдиноборців

• Authors : Жогло, Володимир; Хмелюк, Олександр; Єфременко, Андрій

Subjects: innovative technologies; sports training; motor training

• Source: Мartial arts; No. 4(34) (2024): Єдиноборства; 43-51 ; Єдиноборства; № 4(34) (2024): Єдиноборства; 43-51 ; 2523-4196 ; 10.15391/ed.2024-4

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Artificial intelligence-based pulmonary embolism classification: Development and validation using real-world data.

• Authors : Silva LOD; Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, Brazil.; Institute of Informatics (INF), Federal University of Goias, Goiania, Brazil.

Subjects: Pulmonary Embolism*/Pulmonary Embolism*/Pulmonary Embolism*/diagnosis ; Pulmonary Embolism*/Pulmonary Embolism*/Pulmonary Embolism*/diagnostic imaging ; Pulmonary Embolism*/Pulmonary Embolism*/Pulmonary Embolism*/classification

• Source: PloS one [PLoS One] 2024 Aug 21; Vol. 19 (8), pp. e0305839. Date of Electronic Publication: 2024 Aug 21 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification

• Authors : Seyed Parsa Neshaei; Richard Lee Davis; Paola Mejia-Domenzain

Subjects: Artificial Intelligence; Classification; Natural Language Processing

• Source: International Educational Data Mining Society. 2025.14

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INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO THE TRAINING PROCESS OF CHOREOGRAPHY SPECIALISTS.

• Authors : Anipa, Kussanova; Samal, Bakirova

Subjects: ARTIFICIAL intelligence; CHOREOGRAPHY; DIGITAL technologyKAZAKHSTAN

• Source: Central Asian Journal of Art Studies; Dec2025, Vol. 10 Issue 4, p250-268, 19p

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Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach.

• Authors : Shiraga T; Mitsubishi Electric Inc., Kamakura 247-0056, Japan.; Makimoto H

Subjects: Artificial Intelligence* ; Ventricular Dysfunction*; Electrocardiography/Electrocardiography/Electrocardiography/methods

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Dec 14; Vol. 23 (24). Date of Electronic Publication: 2023 Dec 14.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Explaining and Visualizing Embeddings of One-Dimensional Convolutional Models in Human Activity Recognition Tasks.

• Authors : Aquino G; R&D Center in Electronic and Information Technology, Federal University of Amazonas, Manaus 69077-000, Brazil.; Costa MGF

Subjects: Artificial Intelligence* ; Neural Networks, Computer*; Humans

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Apr 30; Vol. 23 (9). Date of Electronic Publication: 2023 Apr 30.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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