revolutionizing

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revolutionizing

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📄 키워드 상세정보

핵심 연구 분야Artificial Intelligence
주요 연도2024년
주요 연관 키워드algorithms
좋아요 수0

키워드별 논문 목록 (24건)

Enabling Neuroprostheses via Machine Learning
저자: Qi Chen , Peng Lin , Zhenhang Yu , Gang Pan
키워드: #revolutionizing #neurological #neuroprostheses #cortex #prosthetic
파트: Artificial Intelligence | 연도: 2025
Cultivating independent thinkers: The triad of artificial intelligence, Bloom’s taxonomy and critical thinking in assessment pedagogy
저자: Anitia Lubbe , Elma Marais , Donnavan Kruger
키워드: #technologies #revolutionizing #educational #revolutionize #reconceptualizing
파트: Artificial Intelligence | 연도: 2025
Machine learning-based ambient temperature prediction in radio access network environments
저자: Selma Rahman , Mattias Olausson , Carlo Vitucci , Ioannis Avgouleas
키워드: #research #learning #revolutionizing #computational #stringent
파트: Artificial Intelligence | 연도: 2025
AI-Driven Distributed Adaptive Security in 6G Networks for Digital Healthcare
저자: Ijaz Ahmad , Erkki Harjula
키워드: #healthcare #revolutionizing #internet #exacerbate #telemedicine
파트: Artificial Intelligence | 연도: 2025
Artificial intelligence in governance: recent trends, risks, challenges, innovative frameworks and future directions
저자: Arjun Ghosh , Ankit Saini , Himanshu Barad
키워드: #revolutionizing #governance #innovation #algorithmic #technological
파트: Artificial Intelligence | 연도: 2025
Exploring AI and quantum computing synergies in holographic counterpart frameworks for IoT security and privacy
저자: Abdullah I. A. Alzahrani
키워드: #revolutionizing #cyber #quantum #2025 #cryptographic
파트: Cryptography | 연도: 2025
Quantum Machine Learning in Crop Disease Monitoring: Opportunities and Challenges to Practical Implementation
저자: Yue Wu , Attila Nagy , Zoltan Rajnai , Beatrix Fregan , Katalin Takács-György
키워드: #transformative #revolutionizing #agriculture #agricultural #biodiversity
파트: Infrastructure | 연도: 2025
A System Design and Development of Big Data Assistant for Generative AI-Driven Customer Segmentation and Real-Time Target Marketing
저자: Jaeman Park , Jeihyuck Song , Jungmin Park , Kyoungmook Choi , Junhouk Mun , Daesub Song , Hyeryun Park , Minho Stephen Cho
키워드: #optimize #learning #revolutionizing #marketing #samsung
파트: Software Development | 연도: 2025
Large Language Model Evaluation Criteria Framework in Healthcare: Fuzzy MCDM Approach
저자: Hamzeh Mohammad Alabool
키워드: #healthcare #medical #revolutionizing #popularity #microsoft
파트: Verification | 연도: 2025
Leveraging big data characteristics for enhanced healthcare fraud detection
저자: Amin Karami , Fahimeh Jafari
키워드: #healthcare #transformative #revolutionizing #improving #modernizing
파트: Databases | 연도: 2025