Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yikai Zheng"'
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3696 (2024)
As the development of low-altitude economies and aerial countermeasures continues, the safety of unmanned aerial vehicles becomes increasingly critical, making emitter identification in remote sensing practices more essential. Effective recognition o
Externí odkaz:
https://doaj.org/article/176341245d6447f9961f632dd3c6270f
Autor:
Yikai Zheng, Harikrishnan Ravichandran, Thomas F. Schranghamer, Nicholas Trainor, Joan M. Redwing, Saptarshi Das
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Bayesian networks are applied to resolve several types of probabilistic problems. Here, Das et al. develop a stochastic computing hardware platform using two-dimensional memtransistors for the implementation of Bayesian network with high accuracy.
Externí odkaz:
https://doaj.org/article/525b6376437e49baa91a176e4099bade
Publikováno v:
Nano Letters. 23:2536-2543
Autor:
Subir Ghosh, Yikai Zheng, Shiva Subbulakshmi Radhakrishnan, Thomas F Schranghamer, Saptarshi Das
Publikováno v:
Nano Letters.
Publikováno v:
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS).
Autor:
Harikrishnan Ravichandran, Yikai Zheng, Thomas F Schranghamer, Nicholas Trainor, Joan M. Redwing, Saptarshi Das
Publikováno v:
Advanced materials (Deerfield Beach, Fla.).
As the energy and hardware investments necessary for conventional high-precision digital computing continues to explode in the emerging era of artificial intelligence, deep learning, and big data, a change in paradigm that can trade precision for ene
Autor:
Liming Zhong, Zeli Chen, Hai Shu, Yikai Zheng, Yiwen Zhang, Yuankui Wu, Qianjin Feng, Yin Li, Wei Yang
Publikováno v:
Medical image analysis. 83
Synthesis of computed tomography (CT) images from magnetic resonance (MR) images is an important task to overcome the lack of electron density information in MR-only radiotherapy treatment planning (RTP). Some innovative methods have been proposed fo
Autor:
Yikai Zheng, Harikrishnan Ravichandran, Thomas Schranghamer, Nicholas Trainor, Joan Redwing, Saptarshi Das
Long before Bayes proposed his landmark theorem on the probability of an event, based on prior knowledge of other events, natural intelligence has adopted Bayesian inference as a tool to ensure survival for almost all species. The fact that living be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33ea2a92a6d37b448f092c2cabe2134d
https://doi.org/10.21203/rs.3.rs-1196768/v1
https://doi.org/10.21203/rs.3.rs-1196768/v1
Autor:
Harikrishnan Ravichandran, Yikai Zheng, Thomas Schranghamer, Nicholas Trainor, Joan Redwing, Saptarshi Das
As the energy and hardware investments necessary for conventional high-precision digital computing continues to explode in the emerging era of artificial intelligence, deep learning, and Big-data [1-4], a change in paradigm that can trade precision f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d45d46caf34d437b3cb4d8d2c3acfb0
https://doi.org/10.21203/rs.3.rs-1196783/v1
https://doi.org/10.21203/rs.3.rs-1196783/v1
Autor:
Zhijie He, Yikai Zheng, Qin Wang, Fanyi Li, Shengcai Zheng, Weichao Li, Zijun Zou, Minggen Zhou
Publikováno v:
The Journal of Gene Medicine. 22
Background Sepsis induces pulmonary P2X7 receptor (P2X7 R) expression, and P2X7 R-knockout reduced lung inflammation in mice. This study investigated expression of circular RNA (circRNA) and messenger RNA (mRNA) in sepsis-induced acute lung injury (A