Tension-Relaxation In Vivo Computing Principle for Tumor Sensitization and Targeting

Shi，Shaolong1; Sharifi，Neda2; Chen，Yifan3; Yao，Xin4

2022-09

10.1109/TCYB.2021.3052731

IEEE Transactions on Cybernetics   影响因子和分区

2168-2275

Evolution strategy in vivo computation magnetic field control nanorobots swarm intelligence tumor detection

SCI ; EI

其他

20210910016449

Biology ; Nanorobotics ; Nanorobots ; Optimization

Biological Materials and Tissue Engineering:461.2 ; Biology:461.9 ; Robotics:731.5 ; Optimization Techniques:921.5

IEEE

1.Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324000, China, and also with the School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China.
2.School of Engineering, University of Waikato, Hamilton 3240, New Zealand.
3.School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China, and also with the School of Engineering, University of Waikato, Hamilton 3240, New Zealand (e-mail: yifan.chen@uestc.edu.cn)
4.Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.

Shi，Shaolong,Sharifi，Neda,Chen，Yifan,et al. Tension-Relaxation In Vivo Computing Principle for Tumor Sensitization and Targeting[J]. IEEE Transactions on Cybernetics,2022,52(9):9145-9156.

Shi，Shaolong,Sharifi，Neda,Chen，Yifan,&Yao，Xin.(2022).Tension-Relaxation In Vivo Computing Principle for Tumor Sensitization and Targeting.IEEE Transactions on Cybernetics,52(9),9145-9156.

Shi，Shaolong,et al."Tension-Relaxation In Vivo Computing Principle for Tumor Sensitization and Targeting".IEEE Transactions on Cybernetics 52.9(2022):9145-9156.