Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Chengjin Zhan"'
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3907 (2024)
Millimeter-wave radars are widely used in various environments due to their excellent detection capabilities. However, the detection performance in severe weather environments is still an important research challenge. In this paper, the propagation c
Externí odkaz:
https://doaj.org/article/179105b08cfe4f2994aa3bf90443d86d
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2128 (2024)
This paper investigates the airborne synthetic aperture radar via outfield experiments based on carrier-free ultra-wideband signals with fifth-order Gaussian pulses with imaging using the backward projection algorithm. Typical blanket jamming is sele
Externí odkaz:
https://doaj.org/article/e7d4ce7fae3747789f4531f737e0e93c
Publikováno v:
Cells, Vol 12, Iss 9, p 1327 (2023)
Recent studies demonstrate the adverse effects of cannabinoids on development, including via pathways shared with ethanol exposure. Our laboratory has shown that both the nervous system and cardiac development are dependent on agrin modulation of son
Externí odkaz:
https://doaj.org/article/7515896e367e4b909f2c85c2c7886a7d
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
Abstract The DNA replication influences the inheritance of genetic information in the DNA life cycle. As the distribution of replication origins (ORIs) is the major determinant to precisely regulate the replication process, the correct identification
Externí odkaz:
https://doaj.org/article/a3ea873f210f4f4ea4b3efa7c4d395c2
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 19 (2022)
Recently, the learning-based LiDAR odometry has obtained robust estimation results in the field of mobile robot localization, but most of them are constructed based on the idea of supervised learning. In the network training stage, these supervised l
Externí odkaz:
https://doaj.org/article/3393c0b95cd44aed89c8b87c3785aa5b
Publikováno v:
Sensors, Vol 22, Iss 21, p 8535 (2022)
We propose in this work a dynamic group sparsity (DGS) based time-frequency feature extraction method for dynamic hand gesture recognition (HGR) using millimeter-wave radar sensors. Micro-Doppler signatures of hand gestures show both sparse and struc
Externí odkaz:
https://doaj.org/article/ca9e10696cde4cc0aa43cf56d4bfaa2f
Publikováno v:
IEEE Access, Vol 8, Pp 88453-88463 (2020)
As one of post-translational modifications (PTMs), protein citrullination is crucial in a diverse array of cellular processes and implicated in a slew of human pathology. Therefore, accurate identification of protein citrullination sites (PCSs) is ur
Externí odkaz:
https://doaj.org/article/b7debe0b2e464fd5b938721fad4f7819
Publikováno v:
IEEE Access, Vol 7, Pp 142368-142378 (2019)
As an unavoidable non-enzymatic reaction between proteins and reducing sugars, glycation can decline antioxidant defense mechanisms, damage cellular organelles, and form advanced glycation end products (AGEs), thereby resulting in a series of destruc
Externí odkaz:
https://doaj.org/article/8ec2601a8c8a42e78f61dddd6cf69477
Publikováno v:
Sensors, Vol 21, Iss 19, p 6696 (2021)
In recent years, intelligent fault diagnosis methods based on deep learning have developed rapidly. However, most of the existing work performs well under the assumption that training and testing samples are collected from the same distribution, and
Externí odkaz:
https://doaj.org/article/572d5c0aebc94d41ae0bd974abbe2d8b
Publikováno v:
Applied Sciences, Vol 10, Iss 12, p 4303 (2020)
Deep learning based intelligent fault diagnosis methods have become a research hotspot in the fields of fault diagnosis and the health management of rolling bearings in recent years. To effectively identify incipient faults in rotating machinery, thi
Externí odkaz:
https://doaj.org/article/05c5a8b72fbb44608b206eea0d2f8ea2