Zobrazeno 1 - 10
of 1 005
pro vyhledávání: '"Sugiyarto"'
Publikováno v:
Jurnal Informatika, Vol 12, Iss 2, Pp 141-147 (2024)
The significance of machine learning (ML) and data mining techniques particularly clustering is examined in this research, in managing large data sets for customer segmentation in the retail sector. The research emphasizes the challenges posed by dat
Externí odkaz:
https://doaj.org/article/4d0ed6a0081b40509d6e91c9fde26280
Publikováno v:
Insaniyat: Journal of Islam and Humanities, Vol 8, Iss 2, Pp 159-170 (2024)
The existence of rimpu in the Bima area has become a tradition, perception, and expression that indicates the awareness of women in cultivating local clothing without leaving the substance of Islamic teachings and carrying out their religious teachin
Externí odkaz:
https://doaj.org/article/4916f71cee814b8b9ae22f11ddcbcb00
Autor:
Khang Wen Goh, Sugiyarto Surono, M. Y. Firza Afiatin, K. Robiatul Mahmudah, Nursyiva Irsalinda, Mesith Chaimanee, Choo Wou Onn
Publikováno v:
Emerging Science Journal, Vol 8, Iss 2, Pp 592-602 (2024)
Deep learning, specifically the Convolutional Neural Network (CNN), has been a significant technology tool for image processing and human health. CNNs, which mimic the working principles of the human brain, can learn robust representations of images.
Externí odkaz:
https://doaj.org/article/15705a347de4442a8e2cd81356f15e89
Autor:
Ariyanto Nugroho, Siti Fadlilah, Herry Susanto, Santi Damayanti, Agus Suharto, Sugiyarto Sugiyarto
Publikováno v:
Public Health of Indonesia, Vol 10, Iss 2 (2024)
Background: Patients with diabetes mellitus (DM) and cardiovascular disorders who suffer from COVID-19 may have an increased risk of death. Objective: This study aims to analyze the time of death and influencing factors in patients with DM and cardio
Externí odkaz:
https://doaj.org/article/aa7b6c7b3e2f4d0f8b2be67ba81185fd
Publikováno v:
Results in Applied Mathematics, Vol 22, Iss , Pp 100457- (2024)
The Lotka–Volterra predator–prey system for dynamic sea turtle population is solved using r-PINN-Adam method, a novel approach which combines Physics-Informed Neural Network (PINN) with restarting strategy. This method allows us to monitor the lo
Externí odkaz:
https://doaj.org/article/d16fbc7da2fd4b6aa36cf51082946ca3
Autor:
Sugiyarto Surono, M. Yahya Firza Afitian, Anggi Setyawan, Dyiyah Kresna Eni Arofah, Aris Thobirin
Publikováno v:
HighTech and Innovation Journal, Vol 4, Iss 3, Pp 531-542 (2023)
One of the best-known and frequently used areas of Deep Learning in image processing is the Convolutional Neural Network (CNN), which has architectural designs such as Inceptionv3, DenseNet201, Resnet50, and MobileNet used in image classification and
Externí odkaz:
https://doaj.org/article/ac87e5bb087644c3a82f84a232c29a8d
Autor:
Sugiyarto Surono, Zani Anjani Rafsanjani Hsm, Deshinta Arrova Dewi, Annisa Eka Haryati, Tommy Tanu Wijaya
Publikováno v:
Emerging Science Journal, Vol 7, Iss 3, Pp 791-798 (2023)
The Takagi Sugeno Kang (TSK) fuzzy approach is popular since its output is either a constant or a function. Parameter identification and structure identification are the two key requirements for building the TSK fuzzy system. The input utilized in fu
Externí odkaz:
https://doaj.org/article/a32c2f5e70dd458d8f0b675133147265
Publikováno v:
Jurnal Kesehatan, Vol 13, Iss 2, Pp 272-278 (2022)
Covid-19 is a novel viral disease resulting in many casualties around the world, including in Indonesia. By the 19th of January 2022, the death rate is 3.36% higher than the world’s, i.e., 1.64%. Covid-19 -related death is caused by several factors
Externí odkaz:
https://doaj.org/article/3318ffa4632047af9ed5b7029200131b
Publikováno v:
Emerging Science Journal, Vol 7, Iss 2, Pp 498-506 (2023)
Image processing is the main topic of discussion in the field of computer vision technology. With the increase in the number of images used over time, the types of images with different resolution qualities are becoming more diverse. Low image resolu
Externí odkaz:
https://doaj.org/article/97e8a29c8d274ee6984afd7113a249ee
Publikováno v:
Journal of Mahani Mathematical Research, Vol 12, Iss 1, Pp 171-182 (2023)
Forecasting is an essential analytical tool used to make future predictions based on preliminary data. However, the use of small sample sizes during analysis provides inaccurate results, known as asymptotic forecasting. Therefore, this study aims to
Externí odkaz:
https://doaj.org/article/4b422768f495457a8039e08790f1f92e