Zobrazeno 1 - 10
of 595
pro vyhledávání: '"HAKIM, Lukman"'
Publikováno v:
Digital Press Social Sciences and Humanities, Vol 2, p 00015 (2019)
This study aims to find out the mechanism and empowerment pattern of community empowerment through Kampung Ternak Program and Jambu Getas Merah Community located in Yogyakarta and Kendal, Central Java Indonesia. It also aims to compare two different
Externí odkaz:
https://doaj.org/article/8cf1fad7370e4a808c59e8378a9c9362
Autor:
Mustofa, Zaenal1, Hakim, Lukman1 l.kim.lh.27@gmail.com
Publikováno v:
Syntax Idea. Oct2024, Vol. 6 Issue 10, p6327-6339. 13p.
Autor:
Hakim, Lukman, Kurita, Takio
The task of image segmentation is to classify each pixel in the image based on the appropriate label. Various deep learning approaches have been proposed for image segmentation that offers high accuracy and deep architecture. However, the deep learni
Externí odkaz:
http://arxiv.org/abs/2212.13731
The deep learning technique was used to increase the performance of single image super-resolution (SISR). However, most existing CNN-based SISR approaches primarily focus on establishing deeper or larger networks to extract more significant high-leve
Externí odkaz:
http://arxiv.org/abs/2212.13730
Autor:
Danu, Hani Sitti Nuroniah, Deddy Dwi Nur Cahyono, Aam Aminah, Dida Syamsuwida, Nurmawati Siregar, Eliya Suita, Dharmawati Djam’an, Abdul Hakim Lukman, Kresno Agus Hendarto
Publikováno v:
Forest Science and Technology, Vol 20, Iss 2, Pp 155-162 (2024)
Pongamia pinnata is a species native to Indonesia and a potential bioenergy species to be developed on marginal land in Indonesia. This study examined variability in the pods, seeds, and oil content of 44 candidate plus trees (CPT) collected from a n
Externí odkaz:
https://doaj.org/article/54d9eb32df94431f80e6442e4067e6a9
Publikováno v:
In Global Transitions 2025 7:1-20
Autor:
Hakim, Lukman1 lukman.lmh@bsi.ac.id, Sabil, Sabil1 sabil.sbl@bsi.ac.id, Lestiningsih, Amin Setio1 amin.asl@bsi.ac.id, Widodo, Dwiyatmoko Puji1 dwiyatmoko.dpw@bsi.ac.id, Sofyanty, Devy1 devy.dyy@bsi.ac.id
Publikováno v:
Dinasti International Journal of Economics, Finance & Accounting (DIJEFA). Sep/Oct2024, Vol. 5 Issue 4, p3346-3355. 10p.
Lung cancer is one of the most deadly diseases in the world. Detecting such tumors at an early stage can be a tedious task. Existing deep learning architecture for lung nodule identification used complex architecture with large number of parameters.
Externí odkaz:
http://arxiv.org/abs/2009.11587