Zobrazeno 1 - 10
of 41
pro vyhledávání: '"M. Rahmat Widyanto"'
Publikováno v:
Jurnal Ilmu Komputer dan Informasi, Vol 3, Iss 2, Pp 82-90 (2012)
This research present asymmetry, border irregularity, color variation, and diameter (ABCD) feature extraction of image dermatoscopic for melanoma skin cancer diagnosis. ABCD feature is the important information based on morphology analysis of image d
Externí odkaz:
https://doaj.org/article/c46772c3cf6d46cfa930c18d7b4c7586
Autor:
M. Rahmat Widyanto, Shinta Puspasari
Publikováno v:
JUTI: Jurnal Ilmiah Teknologi Informasi, Vol 7, Iss 1, Pp 21-28 (2011)
This paper compares the performance of eigenface and eigen fuzzy set to extract lip traits. Testing is conducted by implementing the two methods in a face identification system based on lip traits. The database used is primary data that consists of f
Externí odkaz:
https://doaj.org/article/ad2807a7ed254af59e0ccb98de21b329
Autor:
M. Rahmat Widyanto, Shinta Puspasari
Publikováno v:
Jurnal Informatika, Vol 9, Iss 1, Pp 8-14 (2008)
In this paper, dental arch form classification system using back propagation algorithm is proposed. Some features of dental arch are selected for neural network input based on statistical analysis to dependent variables of dental arch. The system con
Externí odkaz:
https://doaj.org/article/3ea16ae2f8b141fa9ad54eb9ef42374d
Publikováno v:
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, Vol 6, Iss 2 (2011)
Penelitian ini melakukan analisis organ liver, ginjal dan uterus pasien kanker ovarium ada citra Computed Tomography (CT) scan. Analisis dari ketiga organ tersebut menggunakan Association Rule. Metode Association Rule merupakan bagian dari proses dat
Externí odkaz:
https://doaj.org/article/3e3672070a024e3d89f05a19f124e752
Publikováno v:
Cognitive Processing. 20:391-403
Many studies in automatic facial expression recognitions merely limit their focus on recognizing basic emotions, ignoring the fact that humans show various emotions in their daily life. Moreover, from psychological perspective humans express multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::234bf89453c3f5575dc43004bd1cad57
https://doi.org/10.1007/s10339-019-00923-0
https://doi.org/10.1007/s10339-019-00923-0
Publikováno v:
International Journal of Engineering and Technology. 11:177-186
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9adae723fdab8733cbd68d997657b715
https://doi.org/10.21817/ijet/2019/v11i2/191102014
https://doi.org/10.21817/ijet/2019/v11i2/191102014
Gaussian Fuzzy Number for STR-DNA Similarity Calculation Involving Familial and Tribal Relationships
Publikováno v:
Advances in Bioinformatics, Vol 2018 (2018)
Advances in Bioinformatics
Advances in Bioinformatics
We performed locus similarity calculation by measuring fuzzy intersection between individual locus and reference locus and then performed CODIS STR-DNA similarity calculation. The fuzzy intersection calculation enables a more robust CODIS STR-DNA sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::110c49b05a9d649d21d95bea7dd9d790
https://doi.org/10.1155/2018/8602513
https://doi.org/10.1155/2018/8602513
Autor:
M. Rahmat Widyanto, Belawati H. Widjaja, Putut Tjahjo Widodo, Nurtami Soedarsono, Maria Susan Anggreainy
Deoxyribose Nucleic Acid (DNA) are the basic elements that make up a whole section of an individual. The basic elements store information that is unique to each individual and will be passed down the generations. DNA also helps in identifying the fat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::187e319bd883cf1633db68df2c7284a8
https://zenodo.org/record/4066008
https://zenodo.org/record/4066008
Publikováno v:
ICMLSC
Cross-domain image-to-image translation provides mechanism to capture special characteristics of one image collection and convert into other image collection with different representations. Recent research on generative learning have produced powerfu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0be2b1a117860371047f145b54717939
https://doi.org/10.1145/3310986.3311007
https://doi.org/10.1145/3310986.3311007
Publikováno v:
Proceedings of the 2nd International Conference on Software Engineering and Information Management.
Capturing non-verbal information from a face is the most important phase in emotion recognition through facial expression. In order to do that, it needs to find suitable features extraction method that could help to figure out the meaning from the gi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97481e4ab141b2ad74f3738e366f2d33
https://doi.org/10.1145/3305160.3305174
https://doi.org/10.1145/3305160.3305174