Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Supaporn Erjongmanee"'
Publikováno v:
2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA).
Air passenger estimation is essential since air-travel demand continuously grows. This work proposes to derive an air-passenger estimation model using three forms of gravity model and two machine learning approaches, regression and neural network. Da
Publikováno v:
2018 5th International Conference on Business and Industrial Research (ICBIR).
Air-travel route services are significant since airlines must serve routes to meet air travel demand to maximize profits. This paper proposes route prediction models using socio-economic factors. Route prediction is considered as classification probl
Autor:
Supaporn Erjongmanee
Publikováno v:
EDUCON
This study provides the assessment of how generation-Z students gain their understanding from classroom, from self-study or group-study at one university in Thailand. The assessment was done through a survey in four required engineering courses and a
Publikováno v:
2015 7th International Conference on Knowledge and Smart Technology (KST).
Facebook currently is a worldwide-used online social network. This work analyzes usage of Facebook activities through network and human perspectives. We collect patterns of http requests for 20 Facebook activities, construct network-user sessions, an
Publikováno v:
International Journal of Electronic Commerce Studies. 8:77
URL filtering is an essential tool used by Internet Service Providers (ISPs) and organizations to restrain clients from accessing non-secured or illegal web content. Designing a URL filtering method that achieves a high bit rate of 100 Gb/s and beyon
Publikováno v:
IJCNN
In this work, we study cascaded disruptions between communication networks and power, using heterogeneous measurements and learning. We define sustainability of communication using distributed energy sources upon power outages, and estimate the susta
Publikováno v:
Knowledge Discovery from Sensor Data ISBN: 9783642125188
KDD Workshop on Knowledge Discovery from Sensor Data
KDD Workshop on Knowledge Discovery from Sensor Data
Large-scale natural disasters cause external disturbances to networking infrastructure that lead to large-scale network-service disruption. To understand the impact of natural disasters to networks, it is important to localize and analyze network-ser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f6539aa1673e59dc7ec52d2a61db3ee
https://doi.org/10.1007/978-3-642-12519-5_8
https://doi.org/10.1007/978-3-642-12519-5_8