Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Anuar Ahmad"'
Publikováno v:
Frontiers in Education, Vol 9 (2024)
IntroductionThis study aims to explore the mechanism by which community social capital influences pre-service teachers’ career calling, while also examining the mediating role of career exploration and the moderating effect of agreeableness.Methods
Externí odkaz:
https://doaj.org/article/f3edf495a55642be9b8390bf6bfeccd1
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper analyzes the coupling relationship and coupling factors between ecological landscape planning and architectural design, combines ecological planning with landscape planning and design and explores the practical value of green architecture.
Externí odkaz:
https://doaj.org/article/24f7bce2c9a44189945b6ab047c282d2
Autor:
Bahareh Ghasemian, Himan Shahabi, Ataollah Shirzadi, Nadhir Al-Ansari, Abolfazl Jaafari, Marten Geertsema, Assefa M. Melesse, Sushant K. Singh, Anuar Ahmad
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Landslides can be a major challenge in mountainous areas that are influenced by climate and landscape changes. In this study, we propose a hybrid machine learning model based on a rotation forest (RoF) meta classifier and a random forest (RF) decisio
Externí odkaz:
https://doaj.org/article/76b8bcb45daf46afa5a2276ec0d91a1b
Autor:
Bahareh Ghasemian, Himan Shahabi, Ataollah Shirzadi, Nadhir Al-Ansari, Abolfazl Jaafari, Victoria R. Kress, Marten Geertsema, Somayeh Renoud, Anuar Ahmad
Publikováno v:
Sensors, Vol 22, Iss 4, p 1573 (2022)
We mapped landslide susceptibility in Kamyaran city of Kurdistan Province, Iran, using a robust deep-learning (DP) model based on a combination of extreme learning machine (ELM), deep belief network (DBN), back propagation (BP), and genetic algorithm
Externí odkaz:
https://doaj.org/article/14bc474e25bc4299a215fc44e18c7cb8
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 1, p 32 (2021)
Estimating surface elevation changes in mangrove forests requires a technique to filter the mangrove canopy and quantify the changes underneath. Hence, this study estimates surface elevation changes underneath the mangrove canopy through vegetation f
Externí odkaz:
https://doaj.org/article/40537535e6084a81a47a001f13511d51
Publikováno v:
Yupa: Historical Studies Journal, Vol 1, Iss 2, Pp 183-198 (2017)
This research is aimed at investigating the readiness of History subject teachers in teaching and learning with the help of i-Think mind maps at secondary schools in the district of Setiu, Terengganu. The amount of sample chosen is 59 History teacher
Externí odkaz:
https://doaj.org/article/693321ecb3be4e009c77a5f81517bf52
Publikováno v:
Yupa: Historical Studies Journal, Vol 1, Iss 2, Pp 160-169 (2017)
This study focuses on the student towards paper implementation 3 subject of history. This study use where survey research design as many as 50 from respondent 4 in School orchid, Cheras, chosen by gregarious sample and use instrument in obtaining qua
Externí odkaz:
https://doaj.org/article/4f1b8c2668c54bab99480183063e68d1
Publikováno v:
Yupa: Historical Studies Journal, Vol 1, Iss 2, Pp 137-144 (2017)
This study was aimed to evaluate the Malay proficiency among students in Form Two especially non-Malay students and its relationship to academic achievement History. To achieve the purpose of the study there are two objectives, the first is to look a
Externí odkaz:
https://doaj.org/article/f82b9b1f02fc4f1d900d907ae984d679
Autor:
Laleh Ghayour, Aminreza Neshat, Sina Paryani, Himan Shahabi, Ataollah Shirzadi, Wei Chen, Nadhir Al-Ansari, Marten Geertsema, Mehdi Pourmehdi Amiri, Mehdi Gholamnia, Jie Dou, Anuar Ahmad
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1349 (2021)
With the development of remote sensing algorithms and increased access to satellite data, generating up-to-date, accurate land use/land cover (LULC) maps has become increasingly feasible for evaluating and managing changes in land cover as created by
Externí odkaz:
https://doaj.org/article/fd1fad62f99744538f8c643e572ed54c
Autor:
Muhammad Hamid Chaudhry, Anuar Ahmad, Qudsia Gulzar, Muhammad Shahid Farid, Himan Shahabi, Nadhir Al-Ansari
Publikováno v:
Sensors, Vol 21, Iss 5, p 1649 (2021)
Unmanned Aerial Vehicle (UAV) is one of the latest technologies for high spatial resolution 3D modeling of the Earth. The objectives of this study are to assess low-cost UAV data using image radiometric transformation techniques and investigate its e
Externí odkaz:
https://doaj.org/article/a33bf5544bb246289682258df20055e4