Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Asadang Tanatipuknon"'
Autor:
Pakinee Aimmanee, Kanokvate Tungpimolrut, Akihiko Wakai, Ken T. Murata, Asadang Tanatipuknon, Suthum Keerativittayanun, Go Sato, Jessada Karnjana, Hoang Viet Hung, Yoshihiro Watanabe
Publikováno v:
Journal of Disaster Research. 16:588-595
This study aims to improve the accuracy of landslide detection in satellite images by combining two object detection models based on a faster region-based convolutional neural network (Faster R-CNN) with a classification decision tree. The proposed m
Autor:
Suthum Keerativittayanun, Pakinee Aimmanee, Asadang Tanatipuknon, Jessada Karnjana, Ken T. Murata, Pitisit Dillon, Kittikom Sangrit
Publikováno v:
Springer Tracts in Civil Engineering ISBN: 9789811653117
Many areas in the northern region of Thailand are mountainous and subject to landslides. A landslide causes local damage to a particular area; in addition, it induces nearby prone areas trans-regionally. Therefore, monitoring landslide-prone areas ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8336239566c1c95e844d6f32d5e43b6c
https://doi.org/10.1007/978-981-16-5312-4_12
https://doi.org/10.1007/978-981-16-5312-4_12
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030625085
IUKM
IUKM
This paper proposes a new, simple, and effective unsupervised change detection method for multi-temporal satellite imagery in the landslide monitoring system. The method combines a modified version of k-means clustering, so called the adaptive k-mean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4459c04a3195a269b34769e196a8dd73
https://doi.org/10.1007/978-3-030-62509-2_22
https://doi.org/10.1007/978-3-030-62509-2_22
Autor:
Asadang Tanatipuknon, Jessada Karnjana
Publikováno v:
2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
The dissolved oxygen (DO) measurement plays a crucial role in every automatic aerator-control system for shrimp farming because the DO affects both the animal survival rate and the growth rate. As a consequence, the accuracy degree of the DO sensor m
Autor:
Thanika Duangtanoo, Anuchit Leelayuttho, Asadang Tanatipuknon, Jessada Karnjana, Seksun Sartsatit, Kasorn Galajit, Sommai Chokrung, Pitisit Dillon
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030033019
In automatic aerator-control systems used for shrimp farming, the dissolved oxygen (DO) measurement is one of the crucial parts since it affects both the quantity and quality of the product yield. It goes without saying that the more accurate the DO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0deaa5d53c4305705c4443aa2ffa9ac7
https://doi.org/10.1007/978-3-030-03302-6_13
https://doi.org/10.1007/978-3-030-03302-6_13