Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ching-Yun Mu"'
Autor:
Ching-Yun Mu, Pin Kung
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8254 (2024)
Image pre-processing is crucial for large fleet management. Many traffic videos are collected by closed-circuit television (CCTV), which has a fixed area monitoring for image analysis. This paper adopts the front camera installed in large vehicles to
Externí odkaz:
https://doaj.org/article/57f76d68bb8a48549e808c2b6d4b08b6
Autor:
Thanh-Van Hoang, Tien-Yin Chou, Yao-Min Fang, Chun-Tse Wang, Ching-Yun Mu, Nguyen Quang Tuan, Do Thi Viet Huong, Ha Van Hanh, Doan Ngoc Nguyen Phong
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2490 (2022)
This research utilized various methods for extracting soil characteristics from Landsat 8 OLI/TIRS imagery in the Thua Thien Hue province, Vietnam. In this study, the Object-Based Oriented Classification (OBOC) method was used to extract information
Externí odkaz:
https://doaj.org/article/db0ba8deac2a49019e361f2a9c31b1bc
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1544 (2022)
Transportation safety has been widely discussed for avoiding forward collisions. The broad concept of remote sensing can be applied to detect the front of vehicles without contact. The traditional Haar features use adjacent rectangular areas for many
Externí odkaz:
https://doaj.org/article/95fb1207745143538cc779ba5e24a97a
Autor:
Quang-Thanh Bui, Tien-Yin Chou, Thanh-Van Hoang, Yao-Min Fang, Ching-Yun Mu, Pi-Hui Huang, Vu-Dong Pham, Quoc-Huy Nguyen, Do Thi Ngoc Anh, Van-Manh Pham, Michael E. Meadows
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2709 (2021)
In regular convolutional neural networks (CNN), fully-connected layers act as classifiers to estimate the probabilities for each instance in classification tasks. The accuracy of CNNs can be improved by replacing fully connected layers with gradient
Externí odkaz:
https://doaj.org/article/7faeac37764c444497b3b0064a14383a
Development of Multilayer-Based Map Matching to Enhance Performance in Large Truck Fleet Dispatching
Autor:
Ching-Yun Mu, Tien-Yin Chou, Thanh Van Hoang, Pin Kung, Yao-Min Fang, Mei-Hsin Chen, Mei-Ling Yeh
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 2, p 79 (2021)
Spatial information technology has been widely used for vehicles in general and for fleet management. Many studies have focused on improving vehicle positioning accuracy, although few studies have focused on efficiency improvements for managing large
Externí odkaz:
https://doaj.org/article/dda97649e1304ba5bcfceebda980f926
Publikováno v:
Remote Sensing; Volume 14; Issue 7; Pages: 1544
Transportation safety has been widely discussed for avoiding forward collisions. The broad concept of remote sensing can be applied to detect the front of vehicles without contact. The traditional Haar features use adjacent rectangular areas for many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d44157d227c6bc0caee9aab857bf9422
https://doi.org/10.3390/rs14071544
https://doi.org/10.3390/rs14071544
Autor:
Tien-Yin Chou, Ching-Yun Mu, Yao-Min Fang, Quoc-Huy Nguyen, Thanh Van Hoang, Vu-Dong Pham, Pi-Hui Huang, Van-Manh Pham, Do Thi Ngoc Anh, Michael E. Meadows, Quang-Thanh Bui
Publikováno v:
Remote Sensing, Vol 13, Iss 2709, p 2709 (2021)
Remote Sensing; Volume 13; Issue 14; Pages: 2709
Remote Sensing; Volume 13; Issue 14; Pages: 2709
In regular convolutional neural networks (CNN), fully-connected layers act as classifiers to estimate the probabilities for each instance in classification tasks. The accuracy of CNNs can be improved by replacing fully connected layers with gradient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6d9293b0044681044cff9d752355c8a
https://doi.org/10.3390/rs13142709
https://doi.org/10.3390/rs13142709
Publikováno v:
Journal of Geographic Information System. :96-104
Mazu, a protective sea God, has been worshipped by residents of Taiwan and southeast coast of mainland China as well as overseas Chinese around the globe for hundreds of years. The number of people around the world under her influence of religious be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::598207dab55140514f4a4a14e7401825
https://doi.org/10.4236/jgis.2012.42013
https://doi.org/10.4236/jgis.2012.42013