Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Machine Learning Neural Network"'
Autor:
Yasir W. Abduljaleel, Bilal Al-Obaidi, Mustafa M. Khattab, Fathoni Usman, Agusril Syamsir, Baraa M. Albaker
Publikováno v:
Al-Iraqia Journal for Scientific Engineering Research, Vol 3, Iss 3 (2024)
The use of recycled concrete aggregate (RAC) in creating new concrete has gained significant attention for environmental and financial reasons. However, the compressive strength of the product concrete is hard to predict due to many variables. In thi
Externí odkaz:
https://doaj.org/article/d575e99804e1413e81c529d70225a95d
Publikováno v:
Nature Environment and Pollution Technology, Vol 23, Iss 1, Pp 401-408 (2024)
Air quality is a vital concern globally, and Sri Lanka, according to WHO statistics, faces challenges in achieving optimal air quality levels. To address this, we introduced an innovative IoT-based Air Pollution Monitoring (APM) Box. This solution in
Externí odkaz:
https://doaj.org/article/bee36ebeae524e09846d9b832ba5af19
Autor:
Parjono Parjono, Sri Kusumadewi
Publikováno v:
Jurnal Teknologi dan Sistem Informasi, Vol 9, Iss 2, Pp 200-207 (2023)
Pengkodean penyakit yang lazim dilakukan oleh Rumah Sakit adalah menggunakan 2 metode, yang pertama adalah klinisi/ dokter menuliskan numenklatur penyakit berdasarkan kode ICD-10 dengan panduan kamus ICD-10 yang dapat berupa elektronik maupun buku. M
Externí odkaz:
https://doaj.org/article/2ce770697b394f0d979284aaf433c7c1
Publikováno v:
Безопасность информационных технологий, Vol 27, Iss 2, Pp 78-85 (2020)
Handwritten signature is one of the most common methods of biometric authentication, where static and dynamic signature characteristics are used to confirm the user's identity. The existing developments are based on various technologies, such as the
Externí odkaz:
https://doaj.org/article/709b2ea0bfcd41219151ebfb2a2c5f98
Publikováno v:
Безопасность информационных технологий, Vol 27, Iss 1, Pp 28-39 (2020)
The subject of this work is a neural network, the parameters of its architecture and the data array (dataset) for its training. The aim of the work is the software implementation of part of the DLP-system (Data Leak Prevention), which allows to monit
Externí odkaz:
https://doaj.org/article/81eaee424f5241f9891a1236b5269a4d
Akademický článek
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In this work, tools that allow saving time resources in the process of training a neural network based on artificial intelligence and information about their application are given. Here we consider how to speed up neural network training using the In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::201f63ee5f34fe1eaf6a630a8d08f43f
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 10:3393-3402
Advancements in information technology is contributing to the excessive rate of big data generation recently. Big data refers to datasets that are huge in volume and consumes much time and space to process and transmit using the available resources.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6455abb3f0c74b53803d7a409c8ee9ed
https://doi.org/10.11591/eei.v10i6.3135
https://doi.org/10.11591/eei.v10i6.3135
Autor:
Anonymous
This dataset contains input values and results of a study entitled, "Prediction of Resilient Modulus of Subgrade Soils from Stress State and Index Properties Using Machine Learning".
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ab844f93dac1a419eaa170df968d2f7
Publikováno v:
Sinkron : jurnal dan penelitian teknik informatika; Vol. 6 No. 1 (2021): Article Research October 2021; 62-68
The learning system during the Covid-19 pandemic was carried out online, online learning had a negative impact and a positive impact. The impact given can affect the success of student learning. The success of learning is the main thing that must be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=68917c31e290::0fd2ea28fe87eddd9d60be3a76c2dd13
https://jurnal.polgan.ac.id/index.php/sinkron/article/view/11095
https://jurnal.polgan.ac.id/index.php/sinkron/article/view/11095