Elderly fall detection with vital signs monitoring using CW Doppler radar K Hanifi, ME Karsligil IEEE Sensors Journal 21 (15), 16969-16978, 2021 | 45 | 2021 |
Network intrusion detection using machine learning anomaly detection algorithms ME KarsligЕl, AG Yavuz, MA Güvensan, K Hanifi, H Bank 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 25 | 2017 |
Contactless vital signs monitoring using Doppler radar sensor K Hanifi, ME Karsligil Journal of Advances in Technology and Engineering Research 5 (2), 72-78, 2019 | 4 | 2019 |
Software Vulnerability Prediction Knowledge Transferring Between Programming Languages K Hanifi, RF Fouladi, BG Unsalver, G Karadag arXiv preprint arXiv:2303.06177, 2023 | 2 | 2023 |
A Comparison of Source Code Representation Methods to Predict Vulnerability Inducing Code Changes. R Halepmollasi, K Hanifi, RF Fouladi, A Tosun ENASE, 469-478, 2023 | 2 | 2023 |
Profiling developers to predict vulnerable code changes T Coskun, R Halepmollasi, K Hanifi, RF Fouladi, PC De Cnudde, A Tosun Proceedings of the 18th International Conference on Predictive Models and …, 2022 | 1 | 2022 |
Using Page Offsets for Detecting Control-Flow Anomalies E Varan, K Hanifi, AR Erdemli, M Unal, YE Tat, D Tekinoglu, O Cetin, ... International Conference on Information Technology and Communications …, 2023 | | 2023 |
On ChatGPT: Perspectives from Software Engineering Students K Hanifi, O Cetin, C Yilmaz 2023 IEEE 23rd International Conference on Software Quality, Reliability …, 2023 | | 2023 |
Contactless Fall Detection using Doppler Radar K Hanifi, ME Karsligıl 2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020 | | 2020 |
Human fall detection using non-contact radar sensor K Hanifi | | 2020 |
CodeGrapher: An Image Representation Method to Enhance Software Vulnerability Prediction R Fuladi, K Hanifi | | |
Contactless Fall Detection using Doppler Radar Doppler Radar ile Temazsiz Dusme Algilama K Hanifi, M KARSLIGİL YAVUZ | | |
Network Intrusion Detection Using Machine Learning Anomaly Detection Algorithms K Hanıfı, H Bank, M Karslıgıl, A Yavuz, M Güvensan | | |