Beytullah Eren profile image
Beytullah Eren Assoc. Prof. Dr. SAKARYA ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, ÇEVRE MÜHENDİSLİĞİ BÖLÜMÜ, ÇEVRE MÜHENDİSLİĞİ PR.
Publication 1 Review 3 CrossRef Cited 3 TR Dizin Cited 8
1 Publication
3 Review
3 CrossRef Cited
8 TR Dizin Cited
0000-0001-6747-7004

Research Fields

Deep Learning Modelling and Simulation Waste Management, Reduction, Reuse and Recycling Environmental Pollution and Prevention Environmentally Sustainable Engineering Air Pollution Modelling and Control Clean Production Technologies

Institution

SAKARYA ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, ÇEVRE MÜHENDİSLİĞİ BÖLÜMÜ, ÇEVRE MÜHENDİSLİĞİ PR.

Popular Publications

Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks
Authors: Bediha Oyar, Beytullah Eren , Abdil Özdemir
Published: 2020 , Sakarya University Journal of Science
DOI: 10.16984/saufenbilder.698146
CITED 3 FAVORITE 1 TOTAL DOWNLOAD COUNT 963

3

1

963

Publications

Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks
Authors: Bediha Oyar, Beytullah Eren , Abdil Özdemir
Published: 2020 , Sakarya University Journal of Science
DOI: 10.16984/saufenbilder.698146
FAVORITE 1 TOTAL DOWNLOAD COUNT 963

1

963

Articles published in
Sakarya University Journal of Science
Sakarya University Journal of Science

Reviews

Academic Platform - Journal of Engineering and Science
Academic Platform - Journal of Engineering and Science
Disaster Science and Engineering
Disaster Science and Engineering
Sakarya University Journal of Science
Sakarya University Journal of Science

Publications

Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks
Authors: Bediha Oyar, Beytullah Eren , Abdil Özdemir
Published: 2020 , Sakarya University Journal of Science
DOI: 10.16984/saufenbilder.698146
CITED 3 FAVORITE 1 TOTAL DOWNLOAD COUNT 963

3

1

963

Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods.
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