Prof. Dr. Zeki Oralhan
Academic Impact
26
Publications
153
Citations
0
h-index
0
i10-index
51
OIS
Orclever Influence Score
Emerging Influence
Research Fields
✨ Research Summary
Prof. Dr. Zeki Oralhan is a renowned researcher affiliated with Nuh Naci Yazgan University, where he contributes to the academic community through his expertise in Artificial Intelligence, Machine Learning, and Deep Learning. His primary research domains encompass Brain-Computer Interfaces, Data Mining, and Optimization Techniques, as evident from his publication titles, which frequently explore the applications of these fields in various contexts, including telecommunication, smart cities, and healthcare. Throughout his research career, Prof. Oralhan has investigated key themes such as Steady State Visual Evoked Potential, P300 signal detection, and the optimization of brain-computer interface systems, demonstrating a strong focus on the development of innovative methodologies and models. With a substantial publication portfolio of 20 research articles in esteemed journals, including the World Academy of Science, Engineering and Technology and IEEE Access, Prof. Oralhan has established himself as a prolific contributor to the academic community, although he has not been involved in peer reviews to date. What makes his research profile distinctive is the interdisciplinary nature of his work, which seamlessly integrates concepts from computer science, engineering, and mathematics to address complex problems, ultimately enhancing our understanding of the possibilities and limitations of artificial intelligence and its applications.
Open To
Editorial Positions
The European Journal of Research and Development
Editor-in-Chief
Publications26
Quantum Snowflake Algorithm (QSA): A Snowflake-Inspired, Quantum-Driven Metaheuristic for Large-Scale Continuous and Discrete Optimization with Application to the Traveling Salesman Problem
Zeki Oralhan, Burcu Oralhan
Applied Sciences, vol. 15, no. 9, pp. 5117 (2025)
A Region-Based Convolutional Neural Network Model for Quantitative Analysis of Carbohydrate Content in Foods
Zeki Oralhan, Hüseyin Hakkomaz
The European Journal of Research and Development, vol. 4, no. 3, pp. 57-74 (2024)
Artificial Intelligence-Driven Inventory Management: Optimizing Stock Levels and Reducing Costs Through Advanced Machine Learning Techniques
Osman Çaylı, Zeki Oralhan
The European Journal of Research and Development, vol. 4, no. 4, pp. 427-439 (2024)
Repository Copy of: A Region-Based Convolutional Neural Network Model for Quantitative Analysis of Carbohydrate Content in Foods
Zeki Oralhan, Hüseyin Hakkomaz
Zenodo (CERN European Organization for Nuclear Research) (2024)
Repository Copy of: Artificial Intelligence-Driven Inventory Management: Optimizing Stock Levels and Reducing Costs Through Advanced Machine Learning Techniques
Osman Çaylı, Zeki Oralhan
Zenodo (CERN European Organization for Nuclear Research) (2024)
Evaluation of Ski Centers’ Performance Using Multiple-Criteria Decision-Making Methods
Burcu Oralhan, Zeki Oralhan, Nur Kirdök
Polish Journal of Sport and Tourism, vol. 29, no. 3, pp. 29-35 (2022)
3D Input Convolutional Neural Network for SSVEP Classification in Design of Brain Computer Interface for Patient User
Zeki Oralhan, Burcu Oralhan, Manal M. Khayyat, Sayed Abdel-Khalek, Romany F. Mansour
Computational and Mathematical Methods in Medicine, vol. 2022, pp. 1-6 (2022)
Modeling of Compulsive Behavior Types of Obsessive-Compulsive Disorder Patients by Using the Data Mining Method
Şaban Karayağız, Burcu Oralhan, Zeki Oralhan, Hamza Turabieh, Monirujjaman Khan
Computational and Mathematical Methods in Medicine, vol. 2022, pp. 1-9 (2022)
Scanning the Issue
Zeki Oralhan
Zenodo (CERN European Organization for Nuclear Research) (2022)
Repository Copy of: Scanning the Issue
Zeki Oralhan
Zenodo (CERN European Organization for Nuclear Research) (2022)
Repository Copy of: Cover and Scanning the Issue
Zeki Oralhan
Zenodo (CERN European Organization for Nuclear Research) (2022)
Cover and Scanning the Issue
Zeki Oralhan
Zenodo (CERN European Organization for Nuclear Research) (2022)
3D Input Convolutional Neural Networks for P300 Signal Detection
Zeki Oralhan
IEEE Access, vol. 8, pp. 19521-19529 (2020)
LSTM ile EEG Tabanlı Kimliklendirme Sistemi Tasarımı
Furkan BALCI, Zeki ORALHAN
European Journal of Science and Technology, pp. 135-141 (2020)
Pet Şişe Şişirme Makinelerinde Fırın Optimizasyonu
Burcu BAYRAM, Zeki ORALHAN
European Journal of Science and Technology, pp. 494-504 (2020)
2 Stages-region-based P300 Speller in Brain-Computer Interface
Zeki Oralhan
IETE Journal of Research, vol. 65, no. 6, pp. 740-748 (2019)
A New Paradigm for Region-Based P300 Speller in Brain Computer Interface
Zeki Oralhan
IEEE Access, vol. 7, pp. 106618-106627 (2019)
P300 ve DHGUP Tabanlı Hibrid BBA Heceleyicisi için Yeni bir Yaklaşım
Zeki Oralhan
European Journal of Science and Technology, pp. 1392-1398 (2019)
Advanced SSVEP stimulator for brain–computer interface and signal classification with using convolutional neural network
Z. Oralhan
Electronics Letters, vol. 55, no. 25, pp. 1329-1331 (2019)
P300 Tabanlı Beyin Bilgisayar Arayüzü Sistemlerinde Uyaranlar Arası Sürenin ve Uyaran Yapısının Performansa Etkisi
Zeki ORALHAN
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, vol. 7, no. 3, pp. 1834-1846 (2019)
Smart City A plication: Internet of Things (IoT) Technologies eased Smart Waste Collection Using Data Mining Approach and Ant Colony Optimization
Z. Oralhan, Burcu Oralhan, Yavuz Yigit
International Arab Journal of Information Technology, vol. 14, no. 4, pp. 423-427 (2017)
Customer Churn Analysis in Telecommunication Industry Using Data Mining Approach
Burcu Oralhan, Z. Oralhan, Nilsun Sarıyer, Kumru Uyar
World Academy of Science, Engineering and Technology, International Journal of Computer and Information Engineering, vol. 3, no. 8 (2016)
Frequency Recognition Models for Steady State Visual Evoked Potential Based Brain Computer Interfaces (BCIs)
Z. Oralhan, M. Tokmakçi
World Academy of Science, Engineering and Technology, International Journal of Electrical and Computer Engineering, vol. 3, no. 8 (2016)
DIFFERENT DUTY CYCLE RATIO AND BRIGHTNESS OF VISUAL STIMULI CHANGE TO STEADY STATE VISUAL EVOKED POTENTIAL RESPONSE
Zeki ORALHAN, Mahmut TOKMAKÇI
International Journal of Applied Mathematics, Electronics and Computers, pp. 82-82 (2016)
The Effect of Duty Cycle and Brightness Variation of Visual Stimuli on SSVEP in Brain Computer Interface Systems
Zeki Oralhan, Mahmut Tokmakçi
IETE Journal of Research, vol. 62, no. 6, pp. 795-803 (2016)
The effects of information transfer rate in Steady State Visual Evoked Potential in stimuli that different duty- cycle ratio
Zeki Oralhan, Mahmut Tokmakci
2015 Medical Technologies National Conference (TIPTEKNO), pp. 1-3 (2015)