Showing 2,401 - 2,420 results of 3,438 for search '"AI"', query time: 0.05s Refine Results
  1. 2401

    Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer Models by Rolando Antonio Gilbert Zequera, Anton Rassolkin, Toomas Vaimann, Ants Kallaste

    Published 2025-01-01
    “…With the continuous development of Artificial Intelligence (AI), designing accurate algorithms that provide diagnostics and maintenance of energy technologies is a challenging task in the energy transition domain. …”
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  2. 2402
  3. 2403

    LLM-based collaborative programming: impact on students’ computational thinking and self-efficacy by Yi-Miao Yan, Chuang-Qi Chen, Yang-Bang Hu, Xin-Dong Ye

    Published 2025-02-01
    “…In this shift, the structure of collaborative teams evolves from human-to-human to a new paradigm consisting of human, human, and AI. To investigate the effectiveness of integrating LLMs into collaborative programming, this study designed a quasi-experiment. …”
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  4. 2404
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  6. 2406

    Digital Twins: Strategic Guide to Utilize Digital Twins to Improve Operational Efficiency in Industry 4.0 by Italo Cesidio Fantozzi, Annalisa Santolamazza, Giancarlo Loy, Massimiliano Maria Schiraldi

    Published 2025-01-01
    “…The proposed methodology integrates key enabling technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning to create accurate digital replicas of manufacturing systems. …”
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  7. 2407
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    Minimizing Delay and Power Consumption at the Edge by Erol Gelenbe

    Published 2025-01-01
    “…Prior work has mainly focused on two methodologies: (i) formulating non-linear optimizations that lead to NP-hard problems, which are processed via heuristics, and (ii) using AI-based formulations, such as reinforcement learning, that are then tested with simulations. …”
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  9. 2409

    Driving Style Recognition under Connected Circumstance Using a Supervised Hierarchical Bayesian Model by Depeng Chen, Zhijun Chen, Yishi Zhang, Xu Qu, Mingyang Zhang, Chaozhong Wu

    Published 2021-01-01
    “…In recent years, the automated driving system has been known to be one of the most popular research topics of artificial intelligence (AI) and intelligent transportation system (ITS). …”
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    Article
  10. 2410

    ChatGPT and oral cancer: a study on informational reliability by Mesude Çi̇ti̇r

    Published 2025-01-01
    “…Abstract Background Artificial intelligence (AI) and large language models (LLMs) like ChatGPT have transformed information retrieval, including in healthcare. …”
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    Article
  11. 2411

    IFLA Study on Functional Requirements of Bibliographic Records ant Its Significance for the National Bibliographic Services and Cataloguers by Osvaldas Janonis

    Published 2024-08-01
    “… The introduction to the article gives an account of the international co-operation in the sphere of cataloguing since 1954. AI present one of the most important problems is the price of the cataloguing process. …”
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  12. 2412
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  14. 2414

    TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma by Wang W, Zhang Q, Cui Y, Zhang S, Li B, Xia T, Song Y, Zhou S, Ye F, Xiao W, Cao K, Chi Y, Qu J, Zhou G, Chen Z, Zhang T, Chen X, Ju S, Wang YC

    Published 2025-01-01
    “…Weilang Wang,1,* Qi Zhang,2,* Ying Cui,1,* Shuhang Zhang,1 Binrong Li,1 Tianyi Xia,1 Yang Song,3 Shuwei Zhou,1 Feng Ye,4 Wenbo Xiao,5 Kun Cao,6 Yuan Chi,7 Jinrong Qu,8 Guofeng Zhou,9,10 Zhao Chen,11 Teng Zhang,12 Xunjun Chen,13 Shenghong Ju,1 Yuan-Cheng Wang1 1Department of Radiology, Zhongda Hospital, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, School of Medicine, Southeast University, Nanjing, 210009, People’s Republic of China; 2Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, People’s Republic of China; 3MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, People’s Republic of China; 4Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China; 5Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People’s Republic of China; 6Department of Radiology, Peking University Cancer Hospital and Institute, Beijing, People’s Republic of China; 7Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People’s Republic of China; 8Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, People’s Republic of China; 9Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China; 10Shanghai Institute of Medical Imaging, Shanghai, People’s Republic of China; 11Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China; 12Institute for Artificial Intelligence in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, People’s Republic of China; 13Department of Radiology, The People’s Hospital of Xuyi County, Huaian, Jiangsu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yuan-Cheng Wang, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, 87 Ding Jia Qiao Road, Nanjing, Jiangsu, 210009, People’s Republic of China, Tel +086 25 83272121, Fax +086 25 83311083, Email yuancheng_wang@seu.edu.cnPurpose: To develop and validate a predictive model for predicting six-month outcome by integrating pretreatment MRI features and one-month treatment response after TACE.Methods: A total of 108 patients with 160 hCCs from a single-arm, multicenter clinical trial (NCT03113955) were analyzed and served as the training cohort. …”
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    Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types by Jeanne Shen, Sergio Pereira, Chan-Young Ock, Yung-Jue Bang, Seulki Kim, Sehhoon Park, Se-Hoon Lee, George A Fisher, Young Kwang Chae, Yoon-La Choi, Jin-Haeng Chung, Tony S K Mok, Leeseul Kim, Jun-Eul Hwang, Gahee Park, Sanghoon Song, Seunghwan Shin, Yoojoo Lim, Wonkyung Jung, Heon Song, Hyojin Kim, Taebum Lee, Sukjun Kim, Chang Ho Ahn, Seokhwi Kim, Ben W Dulken, Stephanie Bogdan, Maggie Huang, Chiyoon Oum, Siraj M. Ali

    Published 2024-02-01
    “…Here, we investigate artificial intelligence (AI)-based immune phenotypes capable of predicting ICI clinical outcomes in multiple solid tumor types.Methods Lunit SCOPE IO is a deep learning model which determines the immune phenotype of the tumor microenvironment based on TIL analysis. …”
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  17. 2417

    Developing Artificial Intelligence-Powered Monetary Policy Communication Indicators for Macroeconomic Inquiries in Ghana by Francis Mawuli Abude, Jones Odei-Mensah, Eric Schaling

    Published 2024-07-01
    “…In this study, Artificial Intelligence (AI)-powered text-mining techniques were employed to create monetary policy communication-based indicators, namely the Monetary Policy Readability Index (MPRI), the Monetary Policy Sentiment Index (MPSI), and the Monetary Policy Uncertainty Index (MPUI), using press releases from the Bank of Ghana's monetary policy committee spanning January 2003 to December 2022. …”
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    Linking machine learning and biophysical structural features in drug discovery by Armin Ahmadi, Shivangi Gupta, Vineetha Menon, Jerome Baudry

    Published 2025-01-01
    “…By leveraging pharmacophore descriptors, the AI/ML framework prioritized features uniquely associated with ligand-selected conformations, enabling a mechanism-driven understanding of binding interactions. …”
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  20. 2420

    Machine Learning and Artificial Intelligence Systems Based on the Optical Spectral Analysis in Neuro-Oncology by Tatiana Savelieva, Igor Romanishkin, Anuar Ospanov, Sergey Goryaynov, Galina Pavlova, Igor Pronin, Victor Loschenov

    Published 2025-01-01
    “…Collectively, these elements represent artificial intelligence (AI) in neuro-oncology. This paper reviews recent studies which apply machine learning algorithms to optical spectroscopy data from central nervous system (CNS) tumors, both ex vivo and in vivo. …”
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