Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Su-Kit Tang"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Tobacco is a valuable crop, but its disease identification is rarely involved in existing works. In this work, we use few-shot learning (FSL) to identify abnormalities in tobacco. FSL is a solution for the data deficiency that has been an obstacle to
Externí odkaz:
https://doaj.org/article/d8e2d59fc92f4747a4a3a6dedc2a226b
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
In the evolving landscape of the Internet of Things (IoT), Mobile Wireless Sensor Networks (MWSN) play a pivotal role, particularly in dynamic environments requiring mobile sensing capabilities. A primary challenge in MWSNs is achieving accurate node
Externí odkaz:
https://doaj.org/article/de9cd13f479a4402a1028fd95dc1d2e1
Publikováno v:
Atmosphere, Vol 15, Iss 5, p 521 (2024)
It is crucial to speed up the training process of multivariate deep learning models for forecasting time series data in a real-time adaptive computing service with automated feature engineering. Multivariate time series decomposition and recombining
Externí odkaz:
https://doaj.org/article/c731cca19d9b4e5e934c4b83e2d71a3a
Publikováno v:
IEEE Access, Vol 11, Pp 75440-75450 (2023)
Visible infrared person re-identification (VI Re-ID) is of particular importance for an intelligent safe-guard system, aiming to retrieve the same pedestrian from non-overlapping visible and infrared cameras. The VI Re-ID task is extremely challengin
Externí odkaz:
https://doaj.org/article/bf36ef8af82649a7a547db90be23f885
Publikováno v:
Sensors, Vol 24, Iss 4, p 1257 (2024)
The global population is progressively entering an aging phase, with population aging likely to emerge as one of the most-significant social trends of the 21st Century, impacting nearly all societal domains. Addressing the challenge of assisting vuln
Externí odkaz:
https://doaj.org/article/0b2ba735d3844aaaa9c83565ae85e3ba
Publikováno v:
Agronomy, Vol 13, Iss 12, p 2861 (2023)
Plant counting is an important part in precision agriculture (PA). The Unmanned Aerial Vehicle (UAV) becomes popular in agriculture because it can capture data with higher spatiotemporal resolution. When it is equipped with multispectral sensors, mor
Externí odkaz:
https://doaj.org/article/953cd2c05b14412792cd89795362f440
Publikováno v:
Atmosphere, Vol 14, Iss 12, p 1749 (2023)
Accurate prediction of storm surges is crucial for mitigating the impact of extreme weather events. This paper introduces the Bidirectional Attention-based Long Short-Term Memory (LSTM) Storm Surge Architecture, BALSSA, addressing limitations in trad
Externí odkaz:
https://doaj.org/article/8a2fb317cafc419bb4eeeb0f4cb510d0
Publikováno v:
Atmosphere, Vol 14, Iss 11, p 1597 (2023)
In coastal regions, accurate storm surge prediction is crucial for effective disaster management and risk mitigation. This study presents a comparative analysis between BALSSA (Bidirectional Attention-based LSTM for Storm Surge Architecture) and the
Externí odkaz:
https://doaj.org/article/4d1a5b31f26040599af8c9d21e2e917b
Autor:
Ka Seng Chou, Teng Lai Wong, Kei Long Wong, Lu Shen, Davide Aguiari, Rita Tse, Su-Kit Tang, Giovanni Pau
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 11038 (2023)
This research addresses the challenges of visually impaired individuals’ independent travel by avoiding obstacles. The study proposes a distance estimation method for uncontrolled three-dimensional environments to aid navigation towards labeled tar
Externí odkaz:
https://doaj.org/article/cc2786e210764bda812c86c50fbb068f
Autor:
Ka Seng Chou, Kei Long Wong, Boliang Zhang, Davide Aguiari, Sio Kei Im, Chan Tong Lam, Rita Tse, Su-Kit Tang, Giovanni Pau
Publikováno v:
Applied Sciences, Vol 13, Iss 18, p 10192 (2023)
An essential part of a city’s transportation infrastructure, taxis allow for regular encounters between drivers and customers. Nevertheless, there are issues with efficiency since there is an imbalance in the supply and demand for taxis. This study
Externí odkaz:
https://doaj.org/article/0a0b3867deb8406d9504d8ac4053fdf6