Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Dewi Pramudi Ismi"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 6271-6286 (2022)
This paper aims to provide a comprehensive review of the trends and challenges of deep neural networks for protein secondary structure prediction (PSSP). In recent years, deep neural networks have become the primary method for protein secondary struc
Externí odkaz:
https://doaj.org/article/13f52e29f0074cb4b968f0b7aec5c767
Publikováno v:
Knowledge Engineering and Data Science, Vol 3, Iss 1, Pp 40-49 (2020)
K-medoids clustering is categorized as partitional clustering. K-medoids offers better result when dealing with outliers and arbitrary distance metric also in the situation when the mean or median does not exist within data. However, k-medoids suffer
Externí odkaz:
https://doaj.org/article/1a92160f577f43bcbba03cef7aebf29e
Autor:
Dewi Pramudi Ismi, Murinto Murinto
Publikováno v:
Jurnal Informatika, Vol 14, Iss 2, Pp 50-57 (2020)
High-dimensional data contains a large number of features. With many features, high dimensional data requires immense computational resources, including space and time. Several studies indicate that not all features of high dimensional data are relev
Externí odkaz:
https://doaj.org/article/708172991cb64be3aba02519ef68af5a
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 6, Iss 1, Pp 82-96 (2020)
The philosophy of human visual attention is scientifically explained in the field of cognitive psychology and neuroscience then computationally modeled in the field of computer science and engineering. Visual attention models have been applied in com
Externí odkaz:
https://doaj.org/article/9de9995fff0d46dab834460cacc0ca21
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 2, Iss 1, Pp 38-45 (2016)
With hundreds or thousands of features in high dimensional data, computational workload is challenging. In classification process, features which do not contribute significantly to prediction of classes, add to the computational workload. Therefore t
Externí odkaz:
https://doaj.org/article/c8028cf09c4b4e3c8fd692cc09970695
Publikováno v:
Knowledge Engineering and Data Science, Vol 3, Iss 1, Pp 40-49 (2020)
K-medoids clustering is categorized as partitional clustering. K-medoids offers better result when dealing with outliers and arbitrary distance metric also in the situation when the mean or median does not exist within data. However, k-medoids suffer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b9f5420f83a698104c299c73a8aa486
http://journal2.um.ac.id/index.php/keds/article/view/14602
http://journal2.um.ac.id/index.php/keds/article/view/14602
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 6, Iss 1, Pp 82-96 (2020)
The philosophy of human visual attention is scientifically explained in the field of cognitive psychology and neuroscience then computationally modeled in the field of computer science and engineering. Visual attention models have been applied in com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::526183cdc438b919a6815e921e491e18
http://ijain.org/index.php/IJAIN/article/view/469
http://ijain.org/index.php/IJAIN/article/view/469
Autor:
Dwi Normawati, Dewi Pramudi Ismi
Publikováno v:
Signal and Image Processing Letters. 1:23-35
Coronary heart disease is a disease that often causes human death, occurs when there is atherosclerosis blocking blood flow to the heart muscle in the coronary arteries. The doctor's referral method for diagnosing coronary heart disease is coronary a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::024c22662f6afbade3b79885f301439b
https://doi.org/10.31763/simple.v1i2.3
https://doi.org/10.31763/simple.v1i2.3
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 2, Iss 1, Pp 38-45 (2016)
With hundreds or thousands of features in high dimensional data, computational workload is challenging. In classification process, features which do not contribute significantly to prediction of classes, add to the computational workload. Therefore t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bacc717b1ea7bb3c65f0ce65747c53de
http://ijain.org/index.php/IJAIN/article/view/54
http://ijain.org/index.php/IJAIN/article/view/54
Autor:
Dewi Pramudi Ismi, Fahri Ardianto
Publikováno v:
CYBERNETICS. 3:90
Perkembangan teknologi informasi yang pesat membuat volume informasi yang dapat diakses oleh manusia melalui internet menjadi tidak terbendung. Hal ini menyebabkan pembaca harus dapat memilah informasi yang penting maupun merangkum informasi yang san
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91fa23f64e77edf8e5cbdb50b64d8aa4
https://doi.org/10.29406/cbn.v3i02.2290
https://doi.org/10.29406/cbn.v3i02.2290