Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Wee Siong Ng"'
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031263866
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28f1f1c4dd2a237fdf453c16c30b76e2
https://doi.org/10.1007/978-3-031-26387-3_12
https://doi.org/10.1007/978-3-031-26387-3_12
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2fdd21ffa3917ef17b3733f843351e7
https://doi.org/10.2139/ssrn.4198834
https://doi.org/10.2139/ssrn.4198834
Many well-established anomaly detection methods use the distance of a sample to those in its local neighbourhood: so-called `local outlier methods', such as LOF and DBSCAN. They are popular for their simple principles and strong performance on unstru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::384d2db4d23294ab3413a9c833fa1b25
http://arxiv.org/abs/2112.05355
http://arxiv.org/abs/2112.05355
Publikováno v:
IET Intelligent Transport Systems. 13:1624-1635
In an urban logistics system, predictions of the next destination and estimated time of arrival (ETA) are of paramount importance for efficient resource planning of delivery fleets and for providing a satisfactory client experience. The quality of pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::864cca5cc74e16c12b94446637e9ea87
https://doi.org/10.1049/iet-its.2019.0148
https://doi.org/10.1049/iet-its.2019.0148
Publikováno v:
IJCAI
Detecting anomalies is an important task in a wide variety of applications and domains. Deep learning methods have achieved state-of-the-art performance in anomaly detection in recent years; unsupervised methods being particularly popular. However, d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9afc3991ad7a37ca4cfd3adb9ffc284
https://doi.org/10.24963/ijcai.2020/173
https://doi.org/10.24963/ijcai.2020/173
Publikováno v:
ITSC
Recent development on various sensing techniques has made real-time traffic data readily available. The growing traffic data sources facilitate a shift to the data-driven prediction modelling paradigm to support real-time Intelligent Transportation S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad813c467e53cb8f7558f325037160e7
https://doi.org/10.1109/itsc.2019.8917458
https://doi.org/10.1109/itsc.2019.8917458
Publikováno v:
ITSC
To validate traffic signal control algorithm’s performance, a setup of microscopic traffic simulation platform with realistic traffic demand is necessary. Traditionally, a bilevel framework of Origin-Destination (OD) calibration and trip assignment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::117d20acbff567496f5e9e63ee5bc203
https://doi.org/10.1109/itsc.2019.8917219
https://doi.org/10.1109/itsc.2019.8917219
Publikováno v:
Transportation Research Procedia. 12:765-776
This paper reviews the logistics challenges of a decentralization strategy in Singapore. The main purpose of an urban decentralization, where the commercial hubs and retail clusters are distributed in several regional centers is to relieve congestion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34e06c887ea55cb06c86b10039db9f6d
Autor:
Paul Min Chim Lim, Wee Siong Ng, Shuqiao Guo, Desmond Chua Zhen Liang, Mun Thye Mak, Gim Guan Chua, Ang Loon Chan
Publikováno v:
TENCON
There are numerous ways to monitor business activities, but the most effective way is by adopting data-driven decision-making processes and technologies to enable the corporate entities to monitor and measure performance KPIs. Dashboards are commonly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9166dce9bcd5cb411a945a704b9cd89
https://doi.org/10.1109/tencon.2018.8650264
https://doi.org/10.1109/tencon.2018.8650264
Publikováno v:
TENCON
Internet of Things (IoT) is an emerging technological innovation and it could potentially changing the way people work, live and engage with devices. However, interaction with IoT devices through tangible user interface hasn’t been getting much att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab11ed150ff80a60d15703acb418d98b
https://doi.org/10.1109/tencon.2018.8650374
https://doi.org/10.1109/tencon.2018.8650374