Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Zih-Hao Huang"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-16 (2023)
Abstract Metaheuristic algorithms are novel optimization algorithms often inspired by nature. In recent years, scholars have proposed various metaheuristic algorithms, such as the genetic algorithm (GA), artificial bee colony, particle swarm optimiza
Externí odkaz:
https://doaj.org/article/34abdf73323c40d39fa91162571cc899
Publikováno v:
Bioengineering, Vol 10, Iss 8, p 970 (2023)
Kidney–ureter–bladder (KUB) imaging is used as a frontline investigation for patients with suspected renal stones. In this study, we designed a computer-aided diagnostic system for KUB imaging to assist clinicians in accurately diagnosing urinary
Externí odkaz:
https://doaj.org/article/2a351c83f984491dab024b2d14dfd10e
Publikováno v:
Bioengineering, Vol 10, Iss 6, p 722 (2023)
In recent years, deep learning technology for clinical diagnosis has progressed considerably, and the value of medical imaging continues to increase. In the past, clinicians evaluated medical images according to their individual expertise. In contras
Externí odkaz:
https://doaj.org/article/7fc2091c099741a8955f0bd898dfa12c
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1397 (2023)
Anomaly detection is an important research topic in the field of artificial intelligence and visual scene understanding. The most significant challenge in real-world anomaly detection problems is the high imbalance of available data (i.e., non-anomal
Externí odkaz:
https://doaj.org/article/98152a3b5e424d459faae9d8fb0d0b3c
Publikováno v:
Bioengineering, Vol 9, Iss 12, p 811 (2022)
Kidney–ureter–bladder (KUB) imaging is a radiological examination with a low cost, low radiation, and convenience. Although emergency room clinicians can arrange KUB images easily as a first-line examination for patients with suspicious urolithia
Externí odkaz:
https://doaj.org/article/1659e4cfb9d3484e9e3a73f601a9cd59
Autor:
Zih-Hao Huang, 黃子豪
106
Let p be a prime number, G be a finite group,and G^(p) be the set of all g ∈ G such that p ∤ ord(g). We say G has the (L '', p)-property if for any irreducible character X of G, X|_{G^(p)} ≠ aφ for any irreducible p-modular character
Let p be a prime number, G be a finite group,and G^(p) be the set of all g ∈ G such that p ∤ ord(g). We say G has the (L '', p)-property if for any irreducible character X of G, X|_{G^(p)} ≠ aφ for any irreducible p-modular character
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/5ukqr7
Publikováno v:
Bioengineering; Volume 10; Issue 6; Pages: 722
In recent years, deep learning technology for clinical diagnosis has progressed considerably, and the value of medical imaging continues to increase. In the past, clinicians evaluated medical images according to their individual expertise. In contras
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::ae181763220ffa3dcf6005006a13e6f5
Publikováno v:
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6df35f63f54c025bb834e11353770cc
https://doi.org/10.1109/scisisis55246.2022.10002071
https://doi.org/10.1109/scisisis55246.2022.10002071
Publikováno v:
2022 IEEE International Conference on Consumer Electronics - Taiwan.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d964b6602ab18a6bde1fda2e541257c
https://doi.org/10.1109/icce-taiwan55306.2022.9869202
https://doi.org/10.1109/icce-taiwan55306.2022.9869202
Publikováno v:
Applied Optics. 57:3115
We theoretically study the one-way absorption in two 1D defective asymmetric photonic crystals, air/(DB)NA(BD)M/air and air/(DB)NA(BD)MA(DB)NA(BD)M/air, where A and B are dielectrics, D is the semiconductor, n-InSb, and N, M are stack numbers with N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faf92365fe067678e439971fcb82a6bb
https://doi.org/10.1364/ao.57.003115
https://doi.org/10.1364/ao.57.003115