Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Daquan Zhou"'
Publikováno v:
Materials & Design, Vol 218, Iss , Pp 110687- (2022)
Diabetic wounds are a common disease that plague many doctors in the clinic. Diabetic wounds are caused by increased blood sugar levels, which leads to microvascular disease and skin dystrophy. Additionally, their occurrence can be accompanied by inf
Externí odkaz:
https://doaj.org/article/c7d8a45a61c744a3a3e2dd629493ca81
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
Of all malignant brain tumors, glioma is the deadliest and most common, with a poor prognosis. Drug therapy is considered as a promising way to stop the progression of disease and even cure tumors. However, the presence of blood brain barrier (BBB) a
Externí odkaz:
https://doaj.org/article/f91db9f18e264b2dac19c96793a4b89c
Publikováno v:
Mitochondrial DNA. Part B. Resources, Vol 5, Iss 2, Pp 1751-1752 (2020)
The complete mitochondrial (mt) genome of Nassarius gregarius was determined using genome walking techniques in this study. The total length of the mt genome sequence of N. gregarius was 15,169 bp, including 13 protein-coding genes, 23 transfer RNA g
Externí odkaz:
https://doaj.org/article/7f12593d94064da480b50e0138137c82
The inverted residual block is dominating architecture design for mobile networks recently. It changes the classic residual bottleneck by introducing two design rules: learning inverted residuals and using linear bottlenecks. In this paper, we rethin
Externí odkaz:
http://arxiv.org/abs/2007.02269
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-9
Vision transformers have recently attained state-of-the-art results in visual recognition tasks. Their success is largely attributed to the self-attention component, which models the global dependencies among the image patches (tokens) and aggregates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a16ae9f9fd5ce56ed11ebd5b451e456
https://doi.org/10.1109/tpami.2022.3208922
https://doi.org/10.1109/tpami.2022.3208922
Publikováno v:
Journal of environmental management. 323
Potential natural vegetation (PNV) can provide a reference for vegetation protection and restoration. Previous studies often used PNV patterns as a reference; however, they ignored PNV ecological functions, impeding the establishment of function-orie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95974b90d9f50a9f7900790a1afd1b42
https://pubmed.ncbi.nlm.nih.gov/36261992
https://pubmed.ncbi.nlm.nih.gov/36261992
Publikováno v:
Frontiers in Bioengineering and Biotechnology
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
Of all malignant brain tumors, glioma is the deadliest and most common, with a poor prognosis. Drug therapy is considered as a promising way to stop the progression of disease and even cure tumors. However, the presence of blood brain barrier (BBB) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a0ece153dd96070adbceda7c965204b
http://europepmc.org/articles/PMC8606747
http://europepmc.org/articles/PMC8606747
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(11)
Spiking neural networks (SNNs) have shown clear advantages over traditional artificial neural networks (ANNs) for low latency and high computational efficiency, due to their event-driven nature and sparse communication. However, the training of deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82caed91175db0ba3637567f5d522c14
https://pubmed.ncbi.nlm.nih.gov/34546918
https://pubmed.ncbi.nlm.nih.gov/34546918
Publikováno v:
CVPR
Recent studies on mobile network design have demonstrated the remarkable effectiveness of channel attention (e.g., the Squeeze-and-Excitation attention) for lifting model performance, but they generally neglect the positional information, which is im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3af61322761b12aa532082ca4a88ebd0
Publikováno v:
Pattern Recognition. 124:108424
Forecasting human motion from a sequence of human poses is an important problem in the fields of computer vision and robotics. Most previous approaches merely consider learning the temporal dynamics of body joints or joint angles, while neglect deriv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f4712d4bac6fb91189d6d68b0134afa
https://doi.org/10.1016/j.patcog.2021.108424
https://doi.org/10.1016/j.patcog.2021.108424