Zobrazeno 1 - 10
of 16
pro vyhledávání: '"James Y. Xu"'
Autor:
Yingxu Wang, James Y. Xu
Publikováno v:
2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9687b1426c7fa8771d3aafc1709b2208
https://doi.org/10.1109/iccicc57084.2022.10101659
https://doi.org/10.1109/iccicc57084.2022.10101659
Autor:
Yingxu Wang, James Y. Xu
Publikováno v:
2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ce1ecf701ed9c075bbc467ae4e8ee8e
https://doi.org/10.1109/iccicc53683.2021.9811311
https://doi.org/10.1109/iccicc53683.2021.9811311
Autor:
James Y. Xu, Yingxu Wang
Publikováno v:
2021 IEEE International Conference on Autonomous Systems (ICAS).
A persistent challenge to AI theories and technologies is fake news recognition which demands not only syntactic analyses of language expressions, but also their semantics comprehension. This work presents an autonomous system for fake news recogniti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cb3b46e69f457f9326f2349334cd869
https://doi.org/10.1109/icas49788.2021.9551115
https://doi.org/10.1109/icas49788.2021.9551115
Publikováno v:
SMC
One of the key challenges to AI is autonomous Decision Making (DM). This paper strives towards a formal approach to model cognitive DM in order to enable AI machines to conduct autonomous DM. On the basis of the theoretical models for rational decisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4fe10f2a07f2f1e9424d17aa585088a
https://doi.org/10.1109/smc42975.2020.9283351
https://doi.org/10.1109/smc42975.2020.9283351
Autor:
Yingxu Wang, James Y. Xu
Publikováno v:
IEEE ICCI*CC
Autonomous software requirement analysis and generation are a persistent challenge to theories and technologies of software engineering. A cognitive system is demanded to automatically elicit and rigorously refine informal software requirements in na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca256e2a7dbc98dcfa685227ea3bf217
https://doi.org/10.1109/iccicc50026.2020.9450275
https://doi.org/10.1109/iccicc50026.2020.9450275
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 10:865-876
Enabling accurate and low-cost classification of a range of motion activities is important for numerous applications, ranging from disease treatment and in-community rehabilitation of patients to athlete training. This paper proposes a novel contextu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cacfbeda848642bdad42e3c6ee6cc319
https://doi.org/10.1109/jstsp.2016.2553648
https://doi.org/10.1109/jstsp.2016.2553648
Autor:
Yingxu Wang, James Y. Xu
Publikováno v:
ICCI*CC
Autonomous program code generation by machine learning is not only an ultimate goal but also a theoretical challenge to software science and engineering. A methodology and case study for code generation based on Real-Time Process Algebra (RTPA) by ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d335350549d13caa96a388c5b2501576
https://doi.org/10.1109/icci-cc.2018.8482093
https://doi.org/10.1109/icci-cc.2018.8482093
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 19:440-445
Today, the bicycle is utilized as a daily commute tool, a physical rehabilitation asset, and sporting equipment, prompting studies into the biomechanics of cycling. Of the number of important parameters that affect cycling efficiency, the foot angle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11ae24824883217444138051271c904a
https://doi.org/10.1109/jbhi.2014.2322871
https://doi.org/10.1109/jbhi.2014.2322871
Publikováno v:
IEEE journal of biomedical and health informatics. 20(1)
Profiling the daily activity of a physically disabled person in the community would enable healthcare professionals to monitor the type, quantity, and quality of their patients’ compliance with recommendations for exercise, fitness, and practice of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a6c010c7d24e9650611b74cd6905fb9
https://pubmed.ncbi.nlm.nih.gov/25546868
https://pubmed.ncbi.nlm.nih.gov/25546868