Authors :
Megha Potdar
Volume/Issue :
Volume 10 - 2025, Issue 6 - June
Google Scholar :
https://tinyurl.com/3sc87t8p
DOI :
https://doi.org/10.38124/ijisrt/25jun419
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The integration of Artificial Intelligence (AI) has ushered in a new era in scientific knowledge dissemination.
This abstract delineates the pivotal role played by AI technologies in revolutionizing the process of sharing and accessing
scholarly information. By harnessing machine learning, natural language processing, and data analytics, AI facilitates
automated literature reviews, intelligent summarization, and personalized content recommendations. Furthermore, it
ensures greater accessibility and inclusivity through multilingual translation and assistive technologies. This abstract
illuminates the transformative impact of AI in enhancing the efficiency, reach, and accessibility of scientific
communication, heralding a more dynamic and collaborative era for research endeavors.
Keywords :
AI-Driven Advancements, Scientific Knowledge Dissemination, Artificial Intelligence, Machine Learning, Natural Language Processing.
References :
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- Cheng, Jack C. P., Weiwei Chen, Keyu Chen, and Qian Wang. 2020. “Data-Driven Predictive Maintenance Planning Framework for MEP Components Based on BIM and IoT Using Machine Learning Algorithms.” Automation in Construction 112 (April): 103087.
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- Liu, Yuehua, Wenjin Yu, Tharam Dillon, Wenny Rahayu, and Ming Li. 2022. “Empowering IoT Predictive Maintenance Solutions With AI: A Distributed System for Manufacturing Plant-Wide Monitoring.” IEEE Transactions on Industrial Informatics 18 (2): 1345–54.
- Massaro, Alessandro, Sergio Selicato, and Angelo Galiano. 2020. “Predictive Maintenance of Bus Fleet by Intelligent Smart Electronic Board Implementing Artificial Intelligence.” IoT 1 (2): 180–97.
- Pech, Martin, Jaroslav Vrchota, and Jiří Bednář. 2021. “Predictive Maintenance and Intelligent Sensors in Smart Factory: Review.” Sensors 21 (4): 1470.
- Yan, Jihong, Yue Meng, Lei Lu, and Lin Li. 2017. “Industrial Big Data in an Industry 4.0 Environment: Challenges, Schemes, and Applications for Predictive Maintenance.” IEEE Access 5: 23484–91.
The integration of Artificial Intelligence (AI) has ushered in a new era in scientific knowledge dissemination.
This abstract delineates the pivotal role played by AI technologies in revolutionizing the process of sharing and accessing
scholarly information. By harnessing machine learning, natural language processing, and data analytics, AI facilitates
automated literature reviews, intelligent summarization, and personalized content recommendations. Furthermore, it
ensures greater accessibility and inclusivity through multilingual translation and assistive technologies. This abstract
illuminates the transformative impact of AI in enhancing the efficiency, reach, and accessibility of scientific
communication, heralding a more dynamic and collaborative era for research endeavors.
Keywords :
AI-Driven Advancements, Scientific Knowledge Dissemination, Artificial Intelligence, Machine Learning, Natural Language Processing.