Soft Material-Enabled Electronics for Medicine, Healthcare, and Human-Machine Interfaces / / edited by Jae-Woong Jeong, Woon-Hong Yeo.
Soft material-enabled electronics offer distinct advantage, over conventional rigid and bulky devices, for numerous wearable and implantable applications. Soft materials allow for seamless integration with skin and tissues due to enhanced mechanical flexibility and stretchability. Wearable devices,...
Saved in:
TeilnehmendeR: | |
---|---|
Place / Publishing House: | [Place of publication not identified] : : MDPI AG,, 2020. |
Year of Publication: | 2020 |
Language: | English |
Physical Description: | 1 online resource (244 pages) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Soft Material-Enabled Electronics for Medicine, Healthcare, and Human-Machine Interfaces / / Jae-Woong Jeong, Woon-Hong Yeo.
by: Jeong, Jae-Woong,
Published: (2020.) -
Analysis of biological data : a soft computing approach / / editors, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason T.L. Wang.
Published: (c2007.) -
Catalyzing inquiry at the interface of computing and biology / John C. Wooley and Herbert S. Lin, editors ; Committee on Frontiers at the Interface of Computing and Biology, Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences, National Research Council of the National Academies.
Published: (c2005.) -
Machine learning in bioinformatics / edited by Yan-Qing Zhang, Jagath C. Rajapakse.
by: Zhang, Yan-Qing.
Published: (c2009.) -
Machine learning approaches to bioinformatics / Zheng Rong Yang.
by: Yang, Zheng Rong.
Published: (c2010.)