Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yukai Song"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Recent decades have witnessed the growing importance of human motion detection systems based on artificial intelligence (AI). The growing interest in human motion detection systems is the advantages of automation in the monitoring of patient
Externí odkaz:
https://doaj.org/article/8d77a43088f7472ebf4eb988d701d79a
Publikováno v:
智能科学与技术学报, Vol 1, Pp 260-268 (2019)
Aiming at the problem of the stress distribution algorithm of hip cartilage,a deep learning model to replace the finite element analysis (FEA) was proposed.This deep learning model was divided into unsupervised learning module and supervised learning
Externí odkaz:
https://doaj.org/article/c70e87c9bddc419a8222ea6513ef95df
Publikováno v:
IEEE Transactions on Multimedia. 24:3240-3255
In this paper, we propose a portrait relighting method based on deep reinforcement learning (called PR-RL). Our PR-RL model could conduct portrait relighting by sequentially predicting local light editing strokes, and use strokes to conduct dodge and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::437933721ef103e96d319acd89181366
https://doi.org/10.1109/tmm.2021.3096009
https://doi.org/10.1109/tmm.2021.3096009
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efa5787f13448c6485f609f4b85c2e91
https://doi.org/10.1109/icip46576.2022.9897506
https://doi.org/10.1109/icip46576.2022.9897506
Publikováno v:
SmartIoT
In the field of Artificial Intelligence-driven healthcare systems, human motion detection is becoming increasingly popular as it can be applied to give remote healthcare for vulnerable people. This paper aims to develop a contactless AI-enabled Healt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd515f08c3a3cff9f64a7570800e7b91
https://doi.org/10.1109/smartiot52359.2021.00027
https://doi.org/10.1109/smartiot52359.2021.00027
Publikováno v:
CACRE
Exploration in unknown environments using deep reinforcement learning (DRL) often suffers from sampling inefficiency due to notoriously sparse extrinsic rewards and complex spatial structures. To this end, we present a hierarchical and modular spatia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36e21da2d20e653355cd88fcc749e6d7
https://doi.org/10.1109/cacre52464.2021.9501321
https://doi.org/10.1109/cacre52464.2021.9501321
Publikováno v:
Electronics; Volume 11; Issue 4; Pages: 574
Exploration in unknown dynamic environments is a challenging problem in an AI system, and current techniques tend to produce irrational exploratory behaviours and fail in obstacle avoidance. To this end, we present a three-tiered hierarchical and mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6e2096f7328441eda58d83fbce8ffea
https://doi.org/10.3390/electronics11040574
https://doi.org/10.3390/electronics11040574
Publikováno v:
BIBM
In order to help orthopedists evaluate the morphological characteristics of the acetabulum of patients with osteoarthritis of the hip more efficiently and accurately to identify the type of acetabular deformities which benefits the personalized preop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25deae47d50df5c971820ad660927ecc
https://doi.org/10.1109/bibm47256.2019.8982957
https://doi.org/10.1109/bibm47256.2019.8982957