Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Reyat Yılmaz"'
Publikováno v:
Journal of Advanced Transportation, Vol 2017 (2017)
Planning a journey by integrating route and timetable information from diverse sources of transportation agencies such as bus, ferry, and train can be complicated. A user-friendly, informative journey planning system may simplify a plan by providing
Externí odkaz:
https://doaj.org/article/eb4a6dcb6db0404dbdd271deff47d795
Publikováno v:
Symmetry; Volume 14; Issue 8; Pages: 1553
In this article, the consumption of energy in Internet-of-things-based smart buildings is investigated. The main goal of this work is to predict cooling and heating loads as the parameters that impact the amount of energy consumption in smart buildin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5588319f832149e7f624d369a79de278
https://avesis.deu.edu.tr/publication/details/240b8c48-18e1-4bb1-a48a-638a4957b11d/oai
https://avesis.deu.edu.tr/publication/details/240b8c48-18e1-4bb1-a48a-638a4957b11d/oai
Publikováno v:
Symmetry; Volume 14; Issue 7; Pages: 1453
Data collection and processing progress made data mining a popular tool among organizations in the last decades. Sharing information between companies could make this tool more beneficial for each party. However, there is a risk of sensitive knowledg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e881e7c2d0e722897289ce8d6af7465
https://doi.org/10.3390/sym14071453
https://doi.org/10.3390/sym14071453
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2794 (2024)
Financial forecasting involves predicting the future financial states and performance of companies and investors. Recent technological advancements have demonstrated that machine learning-based models can outperform traditional financial forecasting
Externí odkaz:
https://doaj.org/article/4295a188481543df83ca15fcbaefad6f
Autor:
Bita Ghasemkhani, Recep Alp Kut, Reyat Yilmaz, Derya Birant, Yiğit Ahmet Arıkök, Tugay Eren Güzelyol, Tuna Kut
Publikováno v:
Sensors, Vol 24, Iss 13, p 4313 (2024)
In the face of increasing climate variability and the complexities of modern power grids, managing power outages in electric utilities has emerged as a critical challenge. This paper introduces a novel predictive model employing machine learning algo
Externí odkaz:
https://doaj.org/article/c49ab615e0a44f738693647403525529
Publikováno v:
Machines, Vol 11, Iss 7, p 679 (2023)
Fault prediction is a vital task to decrease the costs of equipment maintenance and repair, as well as to improve the quality level of products and production efficiency. Steel plates fault prediction is a significant materials science problem that c
Externí odkaz:
https://doaj.org/article/4c4bf70fb4344b10b29e6668b172052f
Publikováno v:
Symmetry, Vol 14, Iss 8, p 1553 (2022)
In this article, the consumption of energy in Internet-of-things-based smart buildings is investigated. The main goal of this work is to predict cooling and heating loads as the parameters that impact the amount of energy consumption in smart buildin
Externí odkaz:
https://doaj.org/article/6b7523f7e0b44ab1962ae8a3c461eece
Publikováno v:
Symmetry, Vol 14, Iss 7, p 1453 (2022)
Data collection and processing progress made data mining a popular tool among organizations in the last decades. Sharing information between companies could make this tool more beneficial for each party. However, there is a risk of sensitive knowledg
Externí odkaz:
https://doaj.org/article/7db321386f584cba9c082d54a872fbcc
Conference
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