Showing 61 - 80 results of 472 for search '"AI"', query time: 0.09s Refine Results
  1. 61

    Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model by Hongxiong Xu, Yang Zhao, Zhao Dajun, Yihong Duan, Xiangde Xu

    Published 2025-02-01
    “…Abstract Recent advancements in artificial intelligence (AI) have notably enhanced global weather forecasting, yet accurately predicting typhoon intensity remains challenging. …”
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    Article
  2. 62

    Exploring ethical considerations in medical research: Harnessing pre-generated transformers for AI-powered ethics discussions. by Takuya Mori, Takuya Watanabe, Shinji Kosugi

    Published 2025-01-01
    “…We requested the generative AI to provide insights on ethical considerations for virtual research involving individuals. …”
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    Article
  3. 63

    “Scarlet Cloak and the Forest Adventure”: a preliminary study of the impact of AI on commonly used writing tools by Barbara Bordalejo, Davide Pafumi, Frank Onuh, A. K. M. Iftekhar Khalid, Morgan Slayde Pearce, Daniel Paul O’Donnell

    Published 2025-02-01
    “…Abstract This paper explores the growing complexity of detecting and differentiating generative AI from other AI interventions. Initially prompted by noticing how tools like Grammarly were being flagged by AI detection software, it examines how these popular tools such as Grammarly, EditPad, Writefull, and AI models such as ChatGPT and Microsoft Bing Copilot affect human-generated texts and how accurately current AI-detection systems, including Turnitin and GPTZero, can assess texts for use of these tools. …”
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    Article
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    Perceptions and attitudes towards AI among trainee and qualified radiologists at selected South African training hospitals by Ayanda I. Nciki, Linda T. Hlabangana

    Published 2025-01-01
    “…Background: Artificial intelligence (AI) is transforming industries, but its adoption in healthcare, especially radiology, remains contentious. …”
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    Article
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    Targeting AI-2 quorum sensing: harnessing natural products against Streptococcus suis biofilm infection by Shuji Gao, Shuo Yuan, Yingying Quan, Wenjie Jin, Yamin Shen, Rishun Li, Baobao Liu, Yuxin Wang, Li Yi, Shaohui Wang, Xiaogai Hou, Yang Wang

    Published 2025-02-01
    “…Consequently, two natural products, salvianolic acid A (SAA) and rhapontin (RH), which target S. suis AI-2 via quorum sensing, were identified. SAA and RH inhibit AI-2 synthesis through noncompetitive and competitive binding to S-ribosylhomocysteinase (LuxS). …”
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    Article
  8. 68

    Big data predictions of Seasonal Fluctuations in Marine Traffic (using AIS data) by monitoring idle ships by Liliya Mileva

    Published 2024-12-01
    “…The used data are data from the Automatic identification system (AIS data). The methods used are SQL queries and Excel functions for data extraction and calculations for data to receive results about seasonality and structural change indexes in five years (2019-2023). …”
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    Article
  9. 69

    Reforming Real Estate Valuation for Financial Auditors With AI: An In-Depth Exploration of Current Methods and Future Directions by Silviu-Ionut BABTAN

    Published 2025-02-01
    “…Artificial Intelligence (AI) is changing real estate valuation with innovative approaches. …”
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    Article
  10. 70

    AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation by Shimpei Okamoto, Masanori Kataoka, Makoto Itano, Tsutomu Sawai

    Published 2025-02-01
    “…Abstract Background With artificial intelligence (AI) increasingly revolutionising medicine, this study critically evaluates the integration of large language models (LLMs), known for advanced text processing and generation capabilities, in medical ethics education, focusing on promoting virtue. …”
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    Article
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    AI-driven prediction of drug activity against Toxoplasma gondii: Data augmentation and deep neural networks for limited datasets by Natalia V. Karimova, Ravithree D. Senanayake

    Published 2025-06-01
    “…This Artificial Intelligence (AI)-driven Quantitative Structure-Activity Relationship (QSAR) study applies deep neural networks (DNNs) to predict pIC50 values for potential inhibitors, using 2D and 3D molecular descriptors and fingerprints. …”
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    What Is the Most Cost-Effective Breeding Program for Dairy Heifers—Timed AI, Estrous Detection, or a Combination of Both? by Klibs N. Galvão, Eduardo S. Ribeiro, Jose Eduardo P. Santos

    Published 2014-09-01
    “…VM199/VM199: What Is the Most Cost-Effective Breeding Program for Breeding Heifers—Timed AI, Estrous Detection, or a Combination of Both? …”
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