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Baris Bulut
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2020 – today
- 2023
- [c13]Mustafa Çom, Hasan Burak Ketmen, Betül Sena Çaglar, Sencer Sultanoglu, Baris Bulut
:
Container Based Distributed Simulation for Temperature Control in Textile Dyeing Processes. CoDIT 2023: 439-444 - 2022
- [c12]Betül Sena Çaglar, Hasan Burak Ketmen, Baris Bulut:
Condition Monitoring on Renewable Energy Production with Application to Wind Generation. IECON 2022: 1-4 - [c11]Müjdat Soytürk
, Kutalmis Coskun
, Onur Izmitlioglu, Borahan Tümer
, Deniz Günes, Sinan Saraçoglu, Baris Bulut, Hasan Burak Ketmen, Ismethan Hanedar, Tasemir Asan, Eray Aydin:
An AI-based Architecture Framework for Improving End-of-line Reliability Tests of Electric Motors. IECON 2022: 1-6 - 2021
- [c10]Klaus Pressel, Josef Moser, Sven Rzepka, Klas Brinkfeldt
, Susan Zhao, Willem D. van Driel, Paolo Giammatteo
, Baris Bulut, Müjdat Soytürk
, Luigi Pomante:
The H2020-ECSEL Project "iRel40" (Intelligent Reliability 4.0). DSD 2021: 311-318 - [c9]Luis Lino Ferreira, André Oliveira, Nuno Teixeira, Baris Bulut, Jorge Landeck
, Nuno Morgado, Orlando Sousa:
Predictive Maintenance of home appliances: Focus on Washing Machines. IECON 2021: 1-6 - [c8]Anna Hristoskova, Nicolás González-Deleito, Sarah Klein, Joana Sousa, Nuno Martins, João Tagaio, João Serra, Carlos Silva, João M. Ferreira, Pedro M. Santos, Ricardo Morla, Luís Almeida, Baris Bulut, Sencer Sultanoglu:
An Initial Analysis of the Shortcomings of Conventional AI and the Benefits of Distributed AI Approaches in Industrial Use Cases. AIAI Workshops 2021: 281-292 - [c7]Baris Bulut, Hasan Burak Ketmen, Ali Serdar Atalay, Oguzhan Herkiloglu, Riku Salokangas
:
An Arrowhead and Mimosa Based IoT Framework with an Industrial Predictive Maintenance Application. INISTA 2021: 1-5 - [c6]Mustafa Acar, Hasan Burak Ketmen, Baris Bulut
:
Prediction of Failures in Wind Turbines. SIU 2021: 1-4 - [c5]Hasan Burak Ketmen, Baris Bulut
:
Deep Neural Network Based Log Analysis. SIU 2021: 1-4
2000 – 2009
- 2002
- [c4]Baris Bulut, David Greenwood, Michael J. Grimble:
Load distribution ratio as a benchmark for flatness using predictive control. CDC 2002: 555-560 - 2001
- [c3]Baris Bulut, Damien Uduehi, Andrzej W. Ordys, Michael J. Grimble:
Application of process control loop benchmarking to an oil production platform. ACC 2001: 2003-2008 - 2000
- [c2]Baris Bulut, M. Reza Katebi, Michael J. Grimble:
Predictive control of hot rolling processes. ACC 2000: 2058-2062 - [c1]Baris Bulut, M. Reza Katebi, M. A. Johnson:
Industrial application of model based predictive control as a supervisory system. ACC 2000: 3763-3767
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