10Fuzzy-Based Edge AI Approach: Smart Transformation of Healthcare for a Better Tomorrow
B. RaviKrishna1, Sirisha Potluri2*, J. Rethna Virgil Jeny1, Guna Sekhar Sajja3 and Katta Subba Rao4
1 Department of Computer Science and Engineering, Vignan Institute of Technology and Science, Deshmukhi(V), Pochampally(M), Yadadri Bhuvangiri, Telangana, India
2 Department of Computer Science and Engineering, Faculty of Science and Technology-IcfaiTech, ICFAI Foundation for Higher Education, Hyderabad, India
3 Information Technology Department, University of the Cumberlands, Williamsburg, United States
4 Department of Computer Science and Engineering, B V Raju Institute of Technology, Narsapur, Medak (District), Telangana, India
Abstract
Fuzzy-based edge artificial intelligence is a considerably enhanced solution when compared to the conventional cloud-based artificial intelligence models. Its advantage is observed through real-time data analysis for its local data analysis. The proposed model decreases latency as there are no data transfer and allowing for quick, efficient, and real-time decisions. Applications of fuzzy-based edge artificial intelligence are health analytics, autonomous vehicles, self-driving cars, smart traffic management, robots in manufacturing works, video analytics, etc. As edge artificial intelligence does not need a connection, results into a cost, power, and energy effective solution when compared to cloud-based artificial intelligence models. This technique empowers ...
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