Dynamic In Vivo Computation for Learning-based Nanobiosensing in Time-varying Biological Landscapes-Reference-Cited by-同舟云学术

Dynamic In Vivo Computation for Learning-based Nanobiosensing in Time-varying Biological Landscapes

Author:

Shi Shaolong¹^ORCID,Chen Yifan²^ORCID,Ding Jurong³,Liu Qiang¹^ORCID,Zhang Qingfu⁴

Affiliation:

1. Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China

2. School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China

3. Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, China

4. Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong

Funder

Research Foundation of Artificial Intelligence Key Laboratory of Sichuan Province

Hong Kong Scholars Program

the Special Science Foundation of Quzhou

the National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

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