Incomplete Software Requirements and Assumptions Made by Software Engineers. - Özlem Albayrak; Hülya Kurtoglu; Mert Biçakçi (APSEC, 2009)

An experiment to observe the impact of UML diagrams on the effectiveness of software requirements inspections. - Özlem Albayrak (ESEM, 2009)

ISDE 2009 PC Co-chairs' Message. - Alok Mishra 001; Deepti Mishra 001; Özlem Albayrak (OTM Workshops, 2009)

Impact of maintainability defects on code inspections. - Özlem Albayrak; David Davenport (ESEM, 2010)

Software Quality and Model-Based Process Improvement. - Baris Özkan; Özlem Albayrak; Onur Demirörs (Computing Handbook, 3rd ed. (1), 2014)

UML Diyagramları Kullanımının Yazılım Gerekleri Gözden Geçirme Performansına Etkileri: Bir Replikasyon Çalışması. - Özlem Albayrak (UYMS, 2014)

Investigation of individual factors impacting the effectiveness of requirements inspections: a replicated experiment. - Özlem Albayrak; Jeffrey C. Carver (Empir. Softw. Eng., 2014)

Instructor's Acceptance of Games Utilization in Undergraduate Software Engineering Education: A Pilot Study in Turkey. - Özlem Albayrak (GAS@ICSE, 2015)

A Comparison of Deep Transfer Learning Methods on Bearing Fault Detection. - Bilgin Umut Deveci; Mert Celtikoglu; Tilbe Alp; Özlem Albayrak; Perin Ünal; Pinar Kirci (FiCloud, 2021)

A Comparison of State-of-the-Art Machine Learning Algorithms on Fault Indication and Remaining Useful Life Determination by Telemetry Data. - Aras Firat Unal; Ali Yuce Kaleli; Emre Ummak; Özlem Albayrak (FiCloud, 2021)

Performance Analysis of Machine Learning Models for Object Recognition in Underwater Video Images. - Baris Güney Özdilli; Mustafa Bora Arslan; Tilbe Alp; Özlem Albayrak; Perin Ünal; Özlem Bozkurt; A. Murat Özbayoglu (SIU, 2021)

A Workflow for Synthetic Data Generation and Predictive Maintenance for Vibration Data. - Sahan Yoruç Selçuk; Perin Ünal; Özlem Albayrak; Moez Jomâa (Inf., 2021)

Data-Driven Artificial Intelligence and Predictive Analytics for the Maintenance of Industrial Machinery with Hybrid and Cognitive Digital Twins. - Perin Ünal; Özlem Albayrak; Moez Jomâa; Arne J. Berre (Technologies and Applications for Big Data Value, 2022)

Control System Design and Implementation Based on Big Data and Ontology. - Seyithan Temel; Emre Ummak; Abdülkadir Tokgöz; Furkan Isik; Özlem Albayrak; Perin Ünal; A. Murat Özbayoglu (IEEE Big Data, 2022)

A Big Data Application in Manufacturing Industry-Computer Vision to Detect Defects on Bearings. - Perin Ünal; Özlem Albayrak; Meerim Kubatova; Bilgin Umut Deveci; Ege Çirakman; Ç. Ipek Koçal; A. Murat Özbayoglu (IEEE Big Data, 2022)

A Thorough Analysis and Comparison of Data Communication Protocols Used in Industry 4.0: the Case of Smart-CNC. - Bilgin Umut Deveci; Hilal Bas; Emre Ummak; Özlem Albayrak; Perin Ünal (FiCloud, 2022)

Asset Administration Shell Generation and Usage for Digital Twins: A Case Study for Non-destructive Testing. - Fatih Yalliç; Özlem Albayrak; Perin Ünal (IN4PL, 2022)

A Study to Compare YOLO Family Models for Metal Surface Anomaly Detection. - Abdüsselam Koç; Özlem Albayrak; Yasar Kurt; Perin Ünal (IEEE Big Data, 2023)

A Tool Condition Monitoring Study to Support Circular Economy. - Inci Sila Kaleli; Perin Ünal; Bilgin Umut Deveci; Özlem Albayrak (FiCloud, 2024)

A Domain-Aware Federated Learning Study for CNC Tool Wear Estimation. - Inci Sila Kaleli; Perin Ünal; Bilgin Umut Deveci; Özlem Albayrak; Ahmet Murat Özbayoglu (MobiWIS, 2024)

Transfer Learning Enabled Bearing Fault Detection Methods Based on Image Representations of Single-Dimensional Signals. - Bilgin Umut Deveci; Mert Celtikoglu; Özlem Albayrak; Perin Ünal; Pinar Kirci (Inf. Syst. Frontiers, 2024)

Surface and Edge Defect Inspections on Metals Using Deep Learning and Optical Camera Data. - Asya Ünal; Yasar Kurt; Özlem Albayrak; L. Valentin; A. Salicio-Paz; Perin Ünal (FiCloud, 2025)

Real-Time Anomaly Detection in Industry 4.0 Using Asset Administration Shell. - Fatih Kaya; Asya Ünal; Özlem Albayrak; Perin Ünal; Pinar Kirci (MobiWIS, 2025)