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    AI-Based Holistic Framework for Cyber Threat Intelligence Management by Arnolnt Spyros, Ilias Koritsas, Angelos Papoutsis, Panos Panagiotou, Despoina Chatzakou, Dimitrios Kavallieros, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris

    Published 2025-01-01
    “…However, in order to obtain optimal results, organisations should be able to utilise all capabilities of CTI. Therefore, in this work, we propose ThreatWise AI, a novel framework that enables the gathering, analysis, enrichment, storage, and sharing of CTI in an efficient and secure manner. …”
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    EXAMINING THE IMPACT OF AI TECHNOLOGY ON MARKETING STRATEGIES IN FINANCIAL SERVICES by POPESCU JENICA, SPULBAR LUCIAN FLORIN, SMARANDESCU ANDREI

    Published 2024-12-01
    “…Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie…”
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    Critical Phenomena in Higher Curvature Charged AdS Black Holes by Arindam Lala

    Published 2013-01-01
    “…We find that our results fit well with the thermodynamic scaling laws and consistent with the mean field theory approximation. …”
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    ILDIS: 25 años ayudando a desentrañar el Ecuador by Franklin Ramírez Gallegos

    Published 1999-06-01
    “… Las obras publicadas por el ILDIS son una referencia importante para entender la evolución de las ciencias sociales en el Ecuador. …”
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    The Difference in Interleukin-19 Serum on Degrees of Acne Vulgaris Severity by Moerbono Mochtar, Alamanda Murasmita, M. Eko Irawanto, Indah Julianto, Harijono Kariosentono, Fajar Waskito

    Published 2018-01-01
    “…There are differences in serum levels of IL-19 on the severity of acne vulgaris. The significant difference might show that inflammation has a core role in severity of acne vulgaris, and IL-19 might potentially be related to acne vulgaris.…”
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    An Enhanced Approach Using AGS Network for Skin Cancer Classification by Hwanyoung Lee, Seeun Cho, Jiyoon Song, Hoyoung Kim, Youjin Shin

    Published 2025-01-01
    “…It was evaluated using eight deep learning classifiers—GoogLeNet, DenseNet201, ResNet50, MobileNet V3, EfficientNet B0, ViT, EfficientNet V2, and Swin Transformers—on the HAM10000 dataset. …”
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