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Ayhan Akbaş
Asst. Prof. Dr.
ABDULLAH GUL UNIVERSITY
Publication
3
Review
1
CrossRef Cited
4
3
Publication
1
Review
4
CrossRef Cited
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Summary
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Peer Review
Cited
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Institution
ABDULLAH GUL UNIVERSITY
Popular Publications
COMPARATIVE PERFORMANCE ANALYSIS OF ARIMA, PROPHET AND HOLT-WINTERS FORECASTING METHODS ON EUROPEAN COVID-19 DATA
Authors:
Nur Şebnem Ersöz
,
Pınar Güner
,
Ayhan Akbaş
,
Burcu Bakir-gungor
Published: 2022 ,
International Journal of 3D Printing Technologies and Digital Industry
DOI: 10.46519/ij3dptdi.1120718
CITED
4
FAVORITE
1
TOTAL DOWNLOAD COUNT
2832
4
CITED
1
FAVORITE
2832
TOTAL DOWNLOAD COUNT
Publications
A Comparative Analysis of Passenger Flow Forecasting in Trams Using Machine Learning Algorithms
Authors:
Bilge Kagan Dedeturk
,
Beyhan Adanur Dedeturk
,
Ayhan Akbaş
Published: 2024 ,
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
DOI: 10.17798/bitlisfen.1292003
FAVORITE
0
TOTAL DOWNLOAD COUNT
543
0
FAVORITE
543
TOTAL DOWNLOAD COUNT
COMPARATIVE PERFORMANCE ANALYSIS OF ARIMA, PROPHET AND HOLT-WINTERS FORECASTING METHODS ON EUROPEAN COVID-19 DATA
Authors:
Nur Şebnem Ersöz
,
Pınar Güner
,
Ayhan Akbaş
,
Burcu Bakir-gungor
Published: 2022 ,
International Journal of 3D Printing Technologies and Digital Industry
DOI: 10.46519/ij3dptdi.1120718
FAVORITE
1
TOTAL DOWNLOAD COUNT
2832
1
FAVORITE
2832
TOTAL DOWNLOAD COUNT
Forecasting of Occupancy Rate of Dams in İstanbul
Authors:
Mehmet Eren Nalici
,
Ayhan Akbaş
Published: 2022 ,
Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.1084484
FAVORITE
0
TOTAL DOWNLOAD COUNT
660
0
FAVORITE
660
TOTAL DOWNLOAD COUNT
Articles published in
Avrupa Bilim ve Teknoloji Dergisi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
International Journal of 3D Printing Technologies and Digital Industry
Reviews
Journal of Polytechnic
Publications
COMPARATIVE PERFORMANCE ANALYSIS OF ARIMA, PROPHET AND HOLT-WINTERS FORECASTING METHODS ON EUROPEAN COVID-19 DATA
Authors:
Nur Şebnem Ersöz
,
Pınar Güner
,
Ayhan Akbaş
,
Burcu Bakir-gungor
Published: 2022 ,
International Journal of 3D Printing Technologies and Digital Industry
DOI: 10.46519/ij3dptdi.1120718
CITED
4
FAVORITE
1
TOTAL DOWNLOAD COUNT
2832
4
CITED
1
FAVORITE
2832
TOTAL DOWNLOAD COUNT
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