Zobrazeno 1 - 10
of 74
pro vyhledávání: '"HSUN-PING HSIEH"'
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6782 (2023)
The growth of social platforms has lowered the barrier of entry into the media sector, allowing for the spread of false information and putting democratic politics and social security at peril. Preliminary analysis shows that posts sharing real news
Externí odkaz:
https://doaj.org/article/814b69f3cb7b4baf8bc75dae0d2cc7d8
Autor:
Yan-Jen Chen, Hsun-Ping Hsieh, Kuo-Chuan Hung, Yun-Ju Shih, Sher-Wei Lim, Yu-Ting Kuo, Jeon-Hor Chen, Ching-Chung Ko
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivesA subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection. The purpose of this study was to apply deep learning (DL) algorithms for prediction of P/R in NFMAs.MethodsFro
Externí odkaz:
https://doaj.org/article/382d270eaaea4d5392e1d203c144830e
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4268 (2022)
Air pollution in cities is a severe and worrying problem because it causes threats to economic development and health. Furthermore, with the development of industry and technology, rapid population growth, and the massive expansion of cities, the tot
Externí odkaz:
https://doaj.org/article/9aa4a78a62794513b534d49661668397
Autor:
Fandel Lin, Hsun-Ping Hsieh
Publikováno v:
Applied Sciences, Vol 12, Iss 6, p 3127 (2022)
Multicriteria route planning is a crucial transportation planning issue under the field of GIS-based multicriteria decision analysis (GIS-MCDA) with broad applications. A searching algorithm is proposed to solve the multicriteria route planning probl
Externí odkaz:
https://doaj.org/article/aa699001d9dc490281ee04ba84aec567
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 453 (2022)
To alleviate the impact of fake news on our society, predicting the popularity of fake news posts on social media is a crucial problem worthy of study. However, most related studies on fake news emphasize detection only. In this paper, we focus on th
Externí odkaz:
https://doaj.org/article/fc0bc537d9a7471ca57d63a2b015042b
Publikováno v:
Applied Sciences, Vol 11, Iss 15, p 6748 (2021)
Research on flourishing public bike-sharing systems has been widely discussed in recent years. In these studies, many existing works focus on accurately predicting individual stations in a short time. This work, therefore, aims to predict long-term b
Externí odkaz:
https://doaj.org/article/0bc92318b1e746f597a6f9770dea5605
Autor:
Hsun-Ping Hsieh, 解巽評
103
With the gradual maturity of the persuasive techniques for networking, sensors, and Internet, the paradigm of information and communication technology has shifted from fundamental facilities and theories to real-world ubiquitous applications
With the gradual maturity of the persuasive techniques for networking, sensors, and Internet, the paradigm of information and communication technology has shifted from fundamental facilities and theories to real-world ubiquitous applications
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/qw94dv
Autor:
Hsun-Ping Hsieh, 解巽評
97
With an increasing interest in social network applications, how to find meaningful patterns from social networks has attracted more and more attention. The interactions in a social network can naturally be modeled by a temporal network, where
With an increasing interest in social network applications, how to find meaningful patterns from social networks has attracted more and more attention. The interactions in a social network can naturally be modeled by a temporal network, where
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/24161406771355835410
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 7:237-249
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d32d0137dc29c722b5097a59b689307
https://doi.org/10.1109/tetci.2022.3214576
https://doi.org/10.1109/tetci.2022.3214576
Autor:
Fandel Lin, Hsun-Ping Hsieh
Publikováno v:
ACM Transactions on Spatial Algorithms and Systems. 8:1-33
Traveling salesman problem (TSP) is one of the most studied combinatorial optimization problems; several exact, heuristic or even learning-based strategies have been proposed to solve this challenging issue. Targeting on the research problem of bi-ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a18bd99b7c77dc1cc37060d6237ffe5d
https://doi.org/10.1145/3526025
https://doi.org/10.1145/3526025