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Research paper

A Foundation Model for Material Fracture Prediction

Research paper by Agnese Marcato and collaborators. arXiv record dated 2025-07-30. Research area: Machine learning.

Agnese Marcato, Aleksandra Pachalieva, Ryley G. Hill, Kai Gao, Xiaoyu Wang, Esteban Rougier, Zhou Lei, Vinamra Agrawal, Janel Chua, Qinjun Kang, Jeffrey D. Hyman, Abigail Hunter, Nathan DeBardeleben, Earl Lawrence, Hari Viswanathan, Daniel O'Malley, Javier E. Santos
CC BY 4.0View resource
Research paper

A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis

Text-to-image synthesis refers to computational methods which translate human written textual descriptions, in the form of keywords or sentences, into images with similar semantic meaning to the text. In earlier research, image synthesis relied mainly on word to image correlation analysis combined with supervised methods to find best alignment of the visual content matching to the text. Recent progress in deep learning (DL) has brought a new set of unsupervised deep learning methods, particularly deep generative models which are able to generate realistic visual images using suitably trained neural network models. In this paper, we review the

Agnese, Jorge, Herrera, Jonathan, Tao, Haicheng, Zhu, Xingquan
arXiv.org perpetual, non-exclusive licenseView resource
Research paper

Additional file 1 of Assessing clusters of comorbidities in rheumatoid arthritis: a machine learning approach

Additional file 1: Supplemental Table 1. Comorbid Conditions. Supplemental Table 2. Comorbidities of Patients with Rheumatoid Arthritis from the CorEvitas Registry Included in the Analyses, at Baseline and During Follow-Up, Restricting to Patients who Entered the Cohort after 2011. Supplemental Figure 1. Assessing Inflection Points in Sum of Squares Relative to One Cluster. Supplemental Table 3a. K Modes Clustering Results. Supplemental Table 3b. K Means Clustering. Supplemental Table 3c. Regression Based Clustering Algorithm. Supplemental Table 3d. DIANA Agglomerative Hierarchical Clustering. Supplemental Table 3e. AGNES Agglomerative Hierar

Solomon, Daniel H., Guan, Hongshu, Johansson, Fredrik D., Santacroce, Leah, Malley, Wendi, Guo, Lin, Litman, Heather
Creative Commons Attribution 4.0 InternationalView resource
Research paper

AI-driven Marketing and Confectionery Consumption

Research paper by Okute Agnes Lawrence and collaborators, published 2026 in International Research Journal of Multidisciplinary Scope. Research area: AI in Service Interactions.

Okute Agnes Lawrence, Isaac Kolo, Patrick Awok Mbum, Mbaze-Ebock Vivian Arrey, Jayne Iquo Owan, Agbor Judith Ari-Tano Tawo-Oben, Nnenna Eme Ukandu, Esther Frank Apejoye-Okezie, Sarah Okpa Josiah, Iwuchukwu Goodluck NDUBUISI, Edem Ebong, Ibok Bassey Ekpenyong, Ele Augustine Augustine, Lawal Suleiman Gbenga, Awah Catherine Icheni Andorshiye, Francis Idiege Ahakiri, Agaku Deun Doris, James Runyi Daniel
Not specifiedView resource

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