A New Classification Method for Predicting the Output of Dye Process in Textile Industry by Using Artificial Neural Networks. - Ahsen Noor Subhopoto; Mehmet Akar; Sencer Sultanoglu (IWANN (2), 2019)

An Initial Analysis of the Shortcomings of Conventional AI and the Benefits of Distributed AI Approaches in Industrial Use Cases. - Anna Hristoskova; Nicolás González-Deleito; Sarah Klein; Joana Sousa; Nuno Martins; João Tagaio; João Serra; Carlos Silva; João M. Ferreira; Pedro M. Santos 002; Ricardo Morla; Luís Almeida 001; et al. (AIAI (Workshops), 2021)

A Novel PI Auto-Tuning Method for Temperature Control in a Textile Dyeing Process*. - Mustafa Çom; Sencer Sultanoglu; Mehmet Akar (ICCA, 2022)

Container Based Distributed Simulation for Temperature Control in Textile Dyeing Processes. - Mustafa Çom; Hasan Burak Ketmen; Betül Sena Çaglar; Sencer Sultanoglu; Baris Bulut (CoDIT, 2023)

Kernel Ridge Regression Based Modelling and Anomaly Detection for Temperature Control in Textile Dyeing Processes. - Ahmed Ümit Gorgül; Mustafa Çom; Sencer Sultanoglu (ICSTCC, 2023)

A Data-Driven Approach for Predictive Maintenance of Impellers in Flexible Impeller Pumps Using Prophet. - Efe Can Demir; Sencer Sultanoglu (DATA, 2024)