Zobrazeno 1 - 10
of 231
pro vyhledávání: '"Carl K Chang"'
Publikováno v:
Interactive Journal of Medical Research, Vol 11, Iss 2, p e39005 (2022)
BackgroundFor successful aging-in-place strategy development, in-home monitoring technology is necessary as a new home modification strategy. Monitoring an older adult’s daily physical activity at home can positively impact their health and well-be
Externí odkaz:
https://doaj.org/article/8441e42d58e542aaa9fed8511c8088eb
Publikováno v:
Journal of Intelligent Information Systems. 59:679-704
Publikováno v:
Sensors; Volume 23; Issue 7; Pages: 3726
One of the key objectives in developing IoT applications is to automatically detect and identify human activities of daily living (ADLs). Mobile phone users are becoming more accepting of sharing data captured by various built-in sensors. Sounds dete
Publikováno v:
IEEE Transactions on Services Computing. :1-14
Publikováno v:
IEEE Transactions on Software Engineering. 47:2272-2295
Software comprehension is an important part of software maintenance. To understand a piece of large and complex software, the first problem to be solved is where to start the understanding process. Choosing to start the comprehension process from the
Publikováno v:
2022 IEEE International Smart Cities Conference (ISC2).
Autor:
Carl K. Chang, Zhongjie Wang
Publikováno v:
2022 IEEE World Congress on Services (SERVICES).
Publikováno v:
International Journal of Web Services Research. 18:34-57
Mashup technology has become a promising way to develop and deliver applications on the web. Automatically organizing Mashups into functionally similar clusters helps improve the performance of Mashup discovery. Although there are many approaches aim
Publikováno v:
ICWS
As we have entered the Internet-of-Things (IoT) era, further blessed with rapid advances in several key technological areas including DevOps, AI/ML, 5G/6G/, neurocomputing, to name a few, it is imperative we think big and aim high. This new venture w
Autor:
Robert Ward, Carl K. Chang
Publikováno v:
COMPSAC
Relying upon a long-standing prediction derived from one of Software Engineering’s most durable and respected software development models, we show that the primary methodological design decision shaping Scrum can be understood as a sampling-based s