Zobrazeno 1 - 10
of 77
pro vyhledávání: '"C. L. Lau"'
Autor:
C. K. A. F. Che Ku Abdullah, N. Z. S. Baharuddin, M. F. M. Ariff, Z. Majid, C. L. Lau, A. R. Yusoff, K. M. Idris, A. Aspuri
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2/W3, Pp 9-15 (2017)
Laser Scanner technology become an option in the process of collecting data nowadays. It is composed of Airborne Laser Scanner (ALS) and Terrestrial Laser Scanner (TLS). ALS like Phoenix AL3-32 can provide accurate information from the viewpoint of r
Externí odkaz:
https://doaj.org/article/523c84bc9a6641748afbb875e2700ee8
Publikováno v:
Psychological Test Adaptation and Development, Vol 5, Iss , Pp 293-302 (2024)
Abstract: Introduction: The Toronto Alexithymia Scale (TAS-20) is the most widely used instrument to assess alexithymia and has recently been translated into Urdu. There are several shortcomings with this translation (e.g., removal of four items from
Externí odkaz:
https://doaj.org/article/a8fbf0c0455d434ab0be9ab91c0ab48a
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B5, Pp 323-326 (2016)
This paper describes the use of terrestrial laser scanning for the full three-dimensional (3D) recording of historical monument, known as the Bastion Middleburg. The monument is located in Melaka, Malaysia, and was built by the Dutch in 1660. This mo
Externí odkaz:
https://doaj.org/article/f5c800323eb7421da5aa701c8d9a3c42
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-2-W4, Pp 45-51 (2015)
The extraction of true terrain points from unstructured laser point cloud data is an important process in order to produce an accurate digital terrain model (DTM). However, most of these spatial filtering methods just utilizing the geometrical data t
Externí odkaz:
https://doaj.org/article/2e0121da67214b6284b8ccca74ec57f9
Autor:
Jan C. L. Lau, Katja Mombaur
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
With the global geriatric population expected to reach 1.5 billion by 2050, different assistive technologies have been developed to tackle age-associated movement impairments. Lower-limb robotic exoskeletons have the potential to support frail older
Externí odkaz:
https://doaj.org/article/b7960c082b9f4f8d8bf0ff70d3247f5e
Autor:
Jan C. L. Lau, Katja Mombaur
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2022)
Lower-limb exoskeletons have been created for different healthcare needs, but no research has been done on developing a proper protocol for users to get accustomed to moving with one. The user manuals provided also do not include such instructions. A
Externí odkaz:
https://doaj.org/article/7da9b7a63b794ad9ab33568ff89f0537
Autor:
Chi-Ching Tsang, James Y. M. Tang, Ka-Fai Chan, Chun-Yi Lee, Jasper F. W. Chan, Antonio H. Y. Ngan, Mei Cheung, Eunice C. L. Lau, Xin Li, Ricky H. Y. Ng, Christopher K. C. Lai, Kitty S. C. Fung, Susanna K. P. Lau, Patrick C. Y. Woo
Publikováno v:
Emerging Microbes and Infections, Vol 8, Iss 1, Pp 531-541 (2019)
ABSTRACTOnychomycosis is most commonly caused by dermatophytes. In this study, we examined the spectrum of phenotypically non-dermatophyte and non-Aspergillus fungal isolates recovered over a 10-year period from nails of patients with onychomycosis i
Externí odkaz:
https://doaj.org/article/061fbe7b4c9f4bf3b0c3d2088b6387d2
Publikováno v:
Journal of Personality Assessment. :1-12
Publikováno v:
Annals of Behavioral Medicine. 57:334-343
Background Motivation is a frequently reported but far less studied driver for post-stroke physical activity participation. Motivation and physical activity may be important contributors to the prevention management and alleviation of affective sympt
Publikováno v:
OTJR: Occupation, Participation and Health. 42:260-268
Understanding complex dynamics of cognitive constructs and the interplay between cognition and daily life activities is possible through network analysis. The objectives of this study are to characterize the cognition network and identify central cog