Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Hankui Zhuo"'
Unit middleware for implementation of human–machine interconnection intelligent ecology construction
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-33 (2023)
Abstract General speech recognition models require large capacity and strong computing power. Based on small capacity and low computing power to realize speech analysis and semantic recognition is a research area with great challenges for constructin
Externí odkaz:
https://doaj.org/article/09e5d8462c4944cd9dcb0db68b70155e
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7227 (2021)
Bike sharing systems (BSSs) are widely adopted in major cities of the world due to traffic congestion and carbon emissions. Although there have been approaches to exploit either bike trailers via crowdsourcing or carrier vehicles to reposition bikes
Externí odkaz:
https://doaj.org/article/8085a284c6484d54929dff94a7a4cf8d
Publikováno v:
Sensors, Vol 21, Iss 13, p 4552 (2021)
Synthesizing plans for a deformable object to transit from initial observations to goal observations, both of which are represented by high-dimensional data (namely “raw” data), is challenging due to the difficulty of learning abstract state repr
Externí odkaz:
https://doaj.org/article/0521bad5ebce4f0f9725a74629e0f497
Publikováno v:
Applied Sciences, Vol 11, Iss 12, p 5572 (2021)
The applications of knowledge graph have received much attention in the field of artificial intelligence. The quality of knowledge graphs is, however, often influenced by missing facts. To predict the missing facts, various solid transformation based
Externí odkaz:
https://doaj.org/article/61750127b4f04adfb80f7c409083080f
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:7042-7050
Despite of achieving great success in real life, Deep Reinforcement Learning (DRL) is still suffering from three critical issues, which are data efficiency, lack of the interpretability and transferability. Recent research shows that embedding symbol
Publikováno v:
Computer Supported Cooperative Work and Social Computing ISBN: 9789819923847
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::091dec170305ff88ad8bfcd22c82c973
https://doi.org/10.1007/978-981-99-2385-4_7
https://doi.org/10.1007/978-981-99-2385-4_7
Publikováno v:
Computer Supported Cooperative Work and Social Computing ISBN: 9789819923847
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c67d41d067fcbcab5c8190ecc6a879cf
https://doi.org/10.1007/978-981-99-2385-4_1
https://doi.org/10.1007/978-981-99-2385-4_1
Publikováno v:
Companion Proceedings of the Web Conference 2022.
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 11:1-30
Plan recognition aims to discover target plans (i.e., sequences of actions) behind observed actions, with history plan libraries or action models in hand. Previous approaches either discover plans by maximally “matching” observed actions to plan
Dealing with planning problems with both logical relations and numeric changes in real-world dynamic environments is challenging. Existing numeric planning systems for the problem often discretize numeric variables or impose convex constraints on num
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63cf1c456a42feca7af08a783a7a59e2
http://arxiv.org/abs/2110.10007
http://arxiv.org/abs/2110.10007