Zeynep Orman

Zeynep Orman received her BSc in Computer Science Engineering in 2001 and her MSc and Ph.D. degrees in Computer Engineering in 2003 and 2007, respectively from Istanbul University, Istanbul, Turkey. She has studied as a postdoctoral research fellow in the Department of Information Systems and Computing, Brunel University, London, UK in 2009. She is currently working as a Professor in the Department of Computer Engineering, Istanbul University-Cerrahpasa. She is also the head of the Computer Science branch. Her research interests include artificial intelligence, neural networks, nonlinear systems, machine learning, optimization, and data science.

Publications

Mispronunciation Detection Using Neural Networks for Second Language Learners
Mispronunciation Detection Using Neural Networks for Second Language Learners
Lubana Isaoglu, Zeynep Orman. © 2023. 23 pages.
Speaking a second language fluently is the aim of any language learner. Computer-aided language learning (CALL) systems help learners achieve this goal. Mispronunciation...
A Study on Deep Learning Methods in the Concept of Industry 4.0
A Study on Deep Learning Methods in the Concept of Industry 4.0
Mehmet Ali Şimşek, Zeynep Orman. © 2023. 22 pages.
Nowadays, the main features of Industry 4.0 are interpreted to the ability of machines to communicate with each other and with a system, increasing the production efficiency, and...
Hyperspectral Image Classification in Remote Sensing Using CNNs and Attention Modules
Hyperspectral Image Classification in Remote Sensing Using CNNs and Attention Modules
Ali Gündüz, Zeynep Orman. © 2023. 19 pages.
In the field of remote sensing, the classification of hyperspectral images (HSI) has gained popularity. Convolutional neural networks (CNNs) are a potent visual model that have...
Improvement and Repair Methods of Biomedical Images Used in the Diagnosis of Osteoporosis
Improvement and Repair Methods of Biomedical Images Used in the Diagnosis of Osteoporosis
Murat Türkmen, Zeynep Orman. © 2023. 13 pages.
Osteoporosis is a health problem with multiple causes, characterized by decreased bone mineral density and deterioration of the microstructure of bone tissue. Osteoporosis, the...
Earthquake Risk Prediction With Artificial Intelligence Methods
Earthquake Risk Prediction With Artificial Intelligence Methods
Ayşe Berika Varol Malkoçoğlu, Zeynep Orman, Ruya Samli. © 2022. 16 pages.
Earthquakes are one of the most difficult natural phenomena in human history to predict. Today, despite very advanced technologies, earthquake predictions still have not been...
Scaling of Streaming Data Using Machine Learning Algorithms
Scaling of Streaming Data Using Machine Learning Algorithms
Önder Aykurt, Zeynep Orman. © 2022. 15 pages.
Today, data is generated continuously by millions of data sources, which send in the records simultaneously, in small to large sizes. The rapid growth of data in velocity...
A Study on Deep Learning Methods in the Concept of Digital Industry 4.0
A Study on Deep Learning Methods in the Concept of Digital Industry 4.0
Mehmet Ali Şimşek, Zeynep Orman. © 2021. 22 pages.
Nowadays, the main features of Industry 4.0 are interpreted to the ability of machines to communicate with each other and with a system, increasing the production efficiency and...
Precious Metal Prediction by Using XAI in the Perspective of Digital Transformation
Precious Metal Prediction by Using XAI in the Perspective of Digital Transformation
Samet Oztoprak, Zeynep Orman. © 2021. 15 pages.
Recent advances in deep learning methodology led to artificial intelligence (AI) performance achieving and even surpassing human levels in an increasing number of complex tasks....