Showing 601 - 620 results of 1,872 for search 'ai integration algorithm', query time: 0.12s Refine Results
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    Automatic piano performance interaction system based on greedy algorithm for dexterous manipulator by Yufei Wang, Junfeng Yao, Yalan Zhou, Zefeng Wang

    Published 2024-12-01
    “…With continuous advancements in artificial intelligence (AI), automatic piano-playing robots have become subjects of cross-disciplinary interest. …”
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  4. 604

    Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System by Jaehoon Lee, Sang-Kyun Park, Salim Abdullah Bazher, Daewon Seo

    Published 2025-03-01
    “…This study presents an AI-based fault prediction algorithm to enhance the safety and reliability of lithium-ion battery systems used in electric propulsion ships. …”
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  5. 605

    A Novel Improved Binary Optimization Algorithm and Its Application in FS Problems by Boyuan Wu, Jia Luo

    Published 2025-02-01
    “…With the rapid advancement of artificial intelligence (AI) technology, the demand for vast amounts of data for training AI algorithms to attain intelligence has become indispensable. …”
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  6. 606

    Artificial Intelligence and Journalism Education in Higher Education: Digital Transformation in Undergraduate and Graduate Curricula in Türkiye by Hatice Babacan, Emel Arık, Yasemin Bilişli, Hakkı Akgün, Yasin Özkara

    Published 2025-04-01
    “…The findings reveal that AI education in these programs is predominantly theoretical, with courses emphasizing AI ethics, media algorithms, and the impact of automation on news production. …”
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  7. 607

    Comparative Evaluation of Traditional and Advanced Algorithms for Photovoltaic Systems in Partial Shading Conditions by Robert Sørensen, Lucian Mihet-Popa

    Published 2024-10-01
    “…This study concludes that integrating Artificial Intelligence (AI) and Machine Learning (ML) into MPPT algorithms significantly enhances the reliability and efficiency of PV systems, paving the way for a broader adoption of solar energy technologies in diverse environmental conditions. …”
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  8. 608

    Routing Algorithm for Power Communication Networks Based on Serivce Differentiated Transmission Requirements by Songping XUE, Dequan GAO, Ziyan ZHAO, Yuqian LIN, Zejing GUANG, Dawei ZHANG

    Published 2024-11-01
    “…Implemented through the TensorFlow framework, this algorithm has been rigorously validated in a simulation environment constructed using OpenAI Gym. …”
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    Application of multi-sensor fusion localization algorithm based on recurrent neural networks by Zexia Huang, Guoyang Ye, Pu Yang, Wanshun Yu

    Published 2025-03-01
    “…Abstract With the rapid advancements in artificial intelligence (AI), 5G technology, and robotics, multi-sensor fusion technologies have emerged as a critical solution for achieving high-precision localization in mobile robots operating within dynamic and unstructured environments. …”
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    RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning by Chenglu Li, Wanli Xing, Yukyeong Song, Bailing Lyu

    Published 2025-06-01
    “…These results provide insights for both educational researchers and practitioners to integrate ConvAI in learning environments.…”
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    Intelligent ESG portfolio optimization: A multi-objective AI-driven framework for sustainable investments in the Indian stock market by Apurv Gaurav, Kripamay Baishnab, Piyush Kumar Singh

    Published 2025-06-01
    “…However, existing frameworks often fail to integrate artificial intelligence (AI) to optimize ESG portfolios, particularly in the Indian stock market. …”
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    Advances in the Automated Identification of Individual Tree Species: A Systematic Review of Drone- and AI-Based Methods in Forest Environments by Ricardo Abreu-Dias, Juan M. Santos-Gago, Fernando Martín-Rodríguez, Luis M. Álvarez-Sabucedo

    Published 2025-05-01
    “…This review provides a comprehensive synthesis of existing methodologies, highlighting both advancements and persistent gaps in AI-driven forest monitoring.…”
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