Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Xiaotian Zou"'
Publikováno v:
Sensors, Vol 11, Iss 4, Pp 3780-3790 (2011)
This paper presents a fast, highly sensitive and low-cost tapered optical fiber biosensor that enables the label-free detection of biomolecules. The sensor takes advantage of the interference effect between the fiber’s first two propagation modes a
Externí odkaz:
https://doaj.org/article/7d7a1dd01423490dbdca2016431f8fdb
Publikováno v:
Sensors, Vol 11, Iss 1, Pp 1078-1087 (2011)
A small, highly sensitive, and electromagnetic interference (EMI)-immune refractive index (RI) sensor based on the Fabry-Perot (FP) interferometer is presented. The sensor’s FP cavity was fabricated by aligning two metal-deposited, single-mode opti
Externí odkaz:
https://doaj.org/article/b771032bd091484bad0994c785afaef2
Publikováno v:
Interdisciplinary Journal of Problem-based Learning; Winter2023, Vol. 17 Issue 2, p82-98, 17p
Publikováno v:
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c5ecba82f1b9ee444e6446a2f38cd1e
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00112
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00112
Publikováno v:
Neurocomputing. 423:207-219
Causality extraction from natural language texts is a challenging open problem in artificial intelligence. Existing methods utilize patterns, constraints, and machine learning techniques to extract causality, heavily depending on domain knowledge and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4cf8ffe8e5d9c05fb694040a020fe4e
https://doi.org/10.1016/j.neucom.2020.08.078
https://doi.org/10.1016/j.neucom.2020.08.078
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031243820
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb5e56163f86d40293ac9f2826154668
https://doi.org/10.1007/978-3-031-24383-7_12
https://doi.org/10.1007/978-3-031-24383-7_12
Publikováno v:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium ISBN: 9783031116469
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d03e97c2a985fbc8e5ead53f8990fb3
https://doi.org/10.1007/978-3-031-11647-6_64
https://doi.org/10.1007/978-3-031-11647-6_64
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030232061
AIED (2)
AIED (2)
In a personalized learning context, teachers decide which content to assign to students on the basis of data. However, it is not clear that simply providing teachers with data is sufficient to promote good instructional decisions. In this paper, we s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1af575c0b41dee5ec1f2ca9e6f323c04
https://doi.org/10.1007/978-3-030-23207-8_76
https://doi.org/10.1007/978-3-030-23207-8_76
Publikováno v:
Measurement. 79:164-171
Ultrasound transmitters are widely used in various applications such as medical imaging and structural health monitoring. Most recently, traditional ultrasound transmitters are challenged by modern applications which require transmitters featuring a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a93fc977da116823591f652c602b6ded
https://doi.org/10.1016/j.measurement.2015.10.002
https://doi.org/10.1016/j.measurement.2015.10.002
Publikováno v:
Measurement. 62:74-80
Ultrasonic technologies have been widely used in nondestructive and noninvasive testing applications in industry. In this paper, a study on novel nondestructive corrosion detection mechanism with fiber optic photoacoustic ultrasound generator is cond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4343ed06dea762a4fa523a77a99f2e4c
https://doi.org/10.1016/j.measurement.2014.11.004
https://doi.org/10.1016/j.measurement.2014.11.004