Ilhan Aydin

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 25

Top Topics

Fault Diagnosis

Image Processing

Convolutional Neural Network

Top Venues

Publications

Mehmet Sevi, Ilhan Aydin
Improving Unet segmentation performance using an ensemble model in images containing railway lines. Turkish J. Electr. Eng. Comput. Sci. 31 (4) (2023)
Gulsah Karaduman, Ilhan Aydin, Erhan Akin, Selçuk Özdemir
Detection of the Steel Faults Based on Deep Learning. INISTA (2022)
Ilhan Aydin, Mehmet Sevi, Mehmet Umut Salur, Erhan Akin
Defect classification of railway fasteners using image preprocessing and alightweight convolutional neural network. Turkish J. Electr. Eng. Comput. Sci. 30 (3) (2022)
Ilhan Aydin, Selçuk Sinan Kirat, Erhan Akin
Detection of Rail Surface Defects with Two Deep Learning Methods: Comparative Analysis. SIU (2022)
Mehmet Umut Salur, Ilhan Aydin
A soft voting ensemble learning-based approach for multimodal sentiment analysis. Neural Comput. Appl. 34 (21) (2022)
Ahmet Aydin, Mehmet Umut Salur, Ilhan Aydin
Fine-Tuning Convolutional Neural Network Based Railway Damage Detection. EUROCON (2021)
Nashwan Adnan Othman, Ilhan Aydin
Challenges and Limitations in Human Action Recognition on Unmanned Aerial Vehicles: A Comprehensive Survey. Traitement du Signal 38 (5) (2021)
Ilhan Aydin, Erhan Akin, Mehmet Karaköse
Defect classification based on deep features for railway tracks in sustainable transportation. Appl. Soft Comput. 111 (2021)
Mehmet Sevi, Ilhan Aydin
Detecting Flaws on Railways Using Semantic Segmentation. ICIT (2021)
Emre Güçlü, Ilhan Aydin, Erhan Akin
Fuzzy PID Based Autonomous UAV Design for Railway Tracking. ICIT (2021)
Mehmet Umut Salur, Ilhan Aydin
A Novel Hybrid Deep Learning Model for Sentiment Classification. IEEE Access 8 (2020)
Ilhan Aydin, Seyfullah Kaner
A New Hybrid Diagnosis of Bearing Faults Based on Time-Frequency Images and Sparse Representation. Traitement du Signal 37 (6) (2020)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
A new method for time series classification using multi-dimensional phase space and a statistical control chart. Neural Comput. Appl. 32 (11) (2020)
Ilhan Aydin, Mehmet Karaköse, Ebru Karakose, Erhan Akin
A new fault diagnosis approach for induction motor using negative selection algorithm and its real-time implementation on FPGA. J. Intell. Fuzzy Syst. 34 (1) (2018)
Ebru Karakose, Muhsin Tunay Gençoglu, Mehmet Karaköse, Orhan Yaman, Ilhan Aydin, Erhan Akin
A new arc detection method based on fuzzy logic using S-transform for pantograph-catenary systems. J. Intell. Manuf. 29 (4) (2018)
Mehmet Umut Salur, Ilhan Aydin
Sentiment classification based on deep learning. SIU (2018)
Ebru Karakose, Muhsin Tunay Gençoglu, Mehmet Karaköse, Ilhan Aydin, Erhan Akin
A New Experimental Approach Using Image Processing-Based Tracking for an Efficient Fault Diagnosis in Pantograph-Catenary Systems. IEEE Trans. Ind. Informatics 13 (2) (2017)
Canan Tastimur, Mehmet Karaköse, Erhan Akin, Ilhan Aydin
Rail defect detection with real time image processing technique. INDIN (2016)
Mehmet Karaköse, Orhan Yaman, Ilhan Aydin, Ebru Karakose
Real-time condition monitoring approach of pantograph-catenary system using FPGA. INDIN (2016)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
A new real-time fuzzy logic based diagnosis of stator faults for inverter-fed induction motor under low speeds. INDIN (2016)
Yunus Santur, Mehmet Karaköse, Ilhan Aydin, Erhan Akin
IMU based adaptive blur removal approach using image processing for railway inspection. IWSSIP (2016)
Canan Tastimur, Erhan Akin, Mehmet Karaköse, Ilhan Aydin
Detection of rail faults using morphological feature extraction based image processing. SIU (2015)
Orhan Yaman, Mehmet Karaköse, Erhan Akin, Ilhan Aydin
Image processing based fault detection approach for rail surface. SIU (2015)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
Combined intelligent methods based on wireless sensor networks for condition monitoring and fault diagnosis. J. Intell. Manuf. 26 (4) (2015)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
Anomaly detection using a modified kernel-based tracking in the pantograph-catenary system. Expert Syst. Appl. 42 (2) (2015)
Orhan Yaman, Mehmet Karaköse, Ilhan Aydin, Erhan Akin
Detection of pantograph geometric model based on fuzzy logic and image processing. SIU (2014)
Ilhan Aydin, Orhan Yaman, Mehmet Karaköse, S. Baris Celebi
Particle swarm based arc detection on time series in pantograph-catenary system. INISTA (2014)
Orhan Yaman, Mehmet Karaköse, Ilhan Aydin, Erhan Akin
Image processing and model based arc detection in pantograph catenary systems. SIU (2014)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
Monitoring of pantograph-catenary interaction by using particle swarm based contact wire tracking. IWSSIP (2014)
Orhan Yaman, Ilhan Aydin, Mehmet Karaköse, Erhan Akin
Wireless sensor network based fault diagnosis approaches. SIU (2013)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
A Robust Anomaly Detection in Pantograph-Catenary System Based on Mean-Shift Tracking and Foreground Detection. SMC (2013)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
A new approach based on boundary analysis of reconstructed phase space for fault diagnosis. ASCC (2013)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
An adaptive artificial immune system for fault classification. J. Intell. Manuf. 23 (5) (2012)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
A multi-objective artificial immune algorithm for parameter optimization in support vector machine. Appl. Soft Comput. 11 (1) (2011)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
FPGA based real time fuzzy fault detection algorithm. SoCPaR (2010)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
Chaotic-based hybrid negative selection algorithm and its applications in fault and anomaly detection. Expert Syst. Appl. 37 (7) (2010)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
Generation of classification rules using artificial immune system for fault diagnosis. SMC (2010)
Ilhan Aydin, Mehmet Karaköse, Erhan Akin
Artificial immune classifier with swarm learning. Eng. Appl. Artif. Intell. 23 (8) (2010)