Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Erdem KÜÇÜKTOPCU"'
Publikováno v:
Applied Water Science, Vol 13, Iss 4, Pp 1-16 (2023)
Abstract Reference evapotranspiration (ET0) estimates are commonly used in hydrologic planning for water resources and agricultural applications. Last 2 decades, machine learning (ML) techniques have enabled scientists to develop powerful tools to st
Externí odkaz:
https://doaj.org/article/ee96ff8ad24c454f8f8cc2e67d4988fb
Autor:
Erdem Küçüktopcu
Publikováno v:
Buildings, Vol 13, Iss 1, p 142 (2023)
Many models have been developed to predict the energy consumption of various building types, including residential, office, institutional, educational, and commercial buildings. However, to date, no models have been designed specifically to predict p
Externí odkaz:
https://doaj.org/article/4d4039edcdd64597b712db572c97faff
Autor:
Erdem Küçüktopcu, Bilal Cemek
Publikováno v:
Journal of Agricultural Sciences, Vol 25, Iss 4, Pp 440-448 (2019)
Turkey’s poultry industry has experienced significant growth in recent years, resulting in the construction of many new production facilities. It is important to maintain optimum environmental conditions for a profitable production. In this study,
Externí odkaz:
https://doaj.org/article/ccf2a398df074899b9d9d1da81fd25e1
Autor:
Sulaymon Eshkabilov, John Stenger, Elizabeth N. Knutson, Erdem Küçüktopcu, Halis Simsek, Chiwon W. Lee
Publikováno v:
Sensors, Vol 22, Iss 21, p 8158 (2022)
Lettuce is an important vegetable in the human diet and is commonly consumed for salad. It is a source of vitamin A, which plays a vital role in human health. Improvements in lettuce production will be needed to ensure a stable and economically avail
Externí odkaz:
https://doaj.org/article/0466cdd10a4d404bb8d6e3ee363b37f9
Publikováno v:
Spanish Journal of Agricultural Research, Vol 17, Iss 4, Pp e0206-e0206 (2020)
Aim of study: Leaf area (LA) is an important variable for many stages of plant growth and development such as light interception, water and nutrient use, photosynthetic efficiency, respiration, and yield potential. This study aimed to determine the e
Externí odkaz:
https://doaj.org/article/803184e3d46f4b39b37eda9c6a41f1b0
Publikováno v:
Animals, Vol 12, Iss 7, p 867 (2022)
Appropriate microclimate conditions in broiler housing are critical for optimizing poultry production and ensuring the health and welfare of the birds. In this study, spatial variabilities of the microclimate in summer and winter seasons in a mechani
Externí odkaz:
https://doaj.org/article/0b89f5a5b73c4345b0be19a372c0c9e4
Autor:
Sadak Mohamud Hassan, Abdiwahab Abdullahi Omar, Erdem Küçüktopcu, Bilal Cemek, Mohamed Jibril Mohamed
Publikováno v:
African Journal of Climate Change and Resource Sustainability. 1:62-75
As a result of climate change, Somalia has experienced severe droughts in recent decades because Somalia is a water-scarce country in East Africa with arid and semi-arid environments. In this study, drought in Somalia from 2010 to 2021 was investigat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acaed96f5d796503e49feb89070c9622
https://doi.org/10.37284/ajccrs.1.1.981
https://doi.org/10.37284/ajccrs.1.1.981
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 36:4271-4285
Isotope techniques are most frequently used when hydrochemical analysis are insufficient to determine the origin and quality of groundwater and reveal seawater intrusion into groundwater along coastlines. In this study, the potential of the multilaye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b988b7bcb6fa0064875fd8e718ddf124
https://doi.org/10.1007/s00477-022-02262-7
https://doi.org/10.1007/s00477-022-02262-7
Publikováno v:
Sustainability; Volume 15; Issue 7; Pages: 5689
Machine learning (ML) models, including artificial neural networks (ANN), generalized neural regression networks (GRNN), and adaptive neuro-fuzzy interface systems (ANFIS), have received considerable attention for their ability to provide accurate pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc5b95b43552fd93a7881bbd144ce5b8
Autor:
Erdem KÜÇÜKTOPCU, Bilal CEMEK
Publikováno v:
Volume: 7, Issue: 3 515-523
Uluslararası Tarım ve Yaban Hayatı Bilimleri Dergisi
Uluslararası Tarım ve Yaban Hayatı Bilimleri Dergisi
Numerous mathematical expressions for growth models have been developed, but each has its own characteristics and limitations. Therefore, this study has investigated whether artificial intelligence (AI) methods can be an alternative to these models.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc071ed10160be24e78e9f73edcf1c38
https://doi.org/10.24180/ijaws.990297
https://doi.org/10.24180/ijaws.990297