Publications

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Kayacan, E., Ulutas, B., Buyuksalvarci, A. & Kaynak, O. (2007). Gri Sistem Kurami ve Finansman Uygulamalari:IMKB Ornegi. I UFS 2007 - 11. Ulusal Finans Sempozyumu (s. 215-229) http://www.academia.edu/2695567/GR%C4%B0_S%C4%B0STEM_KURAMI_VE_F%C4%B0NANSMAN_UYGULAMALARI_%C4%B0MKB_%C3%96RNE%C4%9E%C4%B0

Kayacan, E. & Kaynak, O. (2006). Gri Bulanik PID Denetleyici Tasarimi ve Dogrusal Olmayan Sivi Seviye Sistemine Uygulanmasi. I TOK 2006 - Otomatik Kontrol Ulusal Toplantisi (s. 16-21)

Jun Hao Nicholas, N., Bahadir Kocer, B., Kayacan, E. & Wai Yee, Y. (2015). Piezoceramic Materials for Energy Harvesting on 3D Printed Unmanned Aerial Vehicles: A Feasibility Study. I Humanitarian Technology Conference (R10-HTC), 2015 IEEE Region 10 (s. 1-4). IEEE. https://doi.org/10.1109/R10-HTC.2015.7391845

Imanberdiyev, N., Fu, C., Kayacan, E. & Chen, I.-M. (2017). Autonomous Navigation of UAV by Using Real-Time Model-Based Reinforcement Learning. I 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 (s. 1-6). Artikel 7838739 IEEE . https://doi.org/10.1109/ICARCV.2016.7838739

Imanberdiyev, N. & Kayacan, E. (2019). A fast learning control strategy for unmanned aerial manipulators. Journal of Intelligent and Robotic Systems, 94(3-4), 805-824. https://doi.org/10.1007/s10846-018-0884-7

Imanberdiyev, N., Monica, J. & Kayacan, E. (2019). A multi-task velocity-based redundancy resolution strategy for unmanned aerial manipulators. I 2019 18th European Control Conference, ECC 2019 (s. 1130-1135). Artikel 8796272 IEEE. https://doi.org/10.23919/ECC.2019.8796272

Imanberdiyev, N. & Kayacan, E. (2020). Redundancy Resolution based Trajectory Generation for Dual-Arm Aerial Manipulators via Online Model Predictive Control. I Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (s. 674-681). Artikel 9254702 IEEE. https://doi.org/10.1109/IECON43393.2020.9254702

Imanberdiyev, N., Sood, S., Kircali, D. & Kayacan, E. (2022). Design, development and experimental validation of a lightweight dual-arm aerial manipulator with a COG balancing mechanism. Mechatronics, 82, Artikel 102719. https://doi.org/10.1016/j.mechatronics.2021.102719

Hassan, S., Ahmadieh Khanesar, M., Kayacan, E., jaafar, J. & Khosravi, A. (2016). Optimal design of adaptive type-2 neuro-fuzzy systems: A review. Applied Soft Computing, 44, 134-143. https://doi.org/10.1016/j.asoc.2016.03.023

Hansen, J. G., Heiß, M., Kozłowski, M. & Kayacan, E. (2022). UAV Trajectory Evaluation in Large Industrial Environments: A Cost-Effective Solution. I 2022 European Control Conference (ECC) (s. 1336-1341). IEEE. https://doi.org/10.23919/ECC55457.2022.9838352

H. Abiyev, R., Kaynak, O. & Kayacan, E. (2013). A Type-2 Fuzzy Wavelet Neural Network for System Identification and Control. Journal of the Franklin Institute, 350(7), 1658-1685. https://doi.org/10.1016/j.jfranklin.2013.04.020

Guruge, P., Bahadir Kocer, B. & Kayacan, E. (2015). A Novel Automatic UAV Launcher Design by Using Bluetooth Low Energy Integrated Electromagnetic Releasing System. I Humanitarian Technology Conference (R10-HTC), 2015 IEEE Region 10 (s. 1-4). IEEE. https://doi.org/10.1109/R10-HTC.2015.7391861

Govdeli, Y., Wei Wong, Z. & Kayacan, E. (2016). ADDITIVE MANUFACTURING OF UNMANNED AERIAL VEHICLES: CURRENT STATUS, RECENT ADVANCES, AND FUTURE PERSPECTIVES. I C. K. Chua, W. Y. Yeong, M. J. Tan, E. Liu & S. B. Tor (red.), Proc. of the 2nd Intl. Conf. on Progress in Additive Manufacturing (s. 39-48). Research Publishing, Singapore. https://dr.ntu.edu.sg/bitstream/handle/10220/41825/Additive%20Manufacturing%20of%20Unmanned%20Aerial%20Vehicles-Current%20Status%2C%20Recent%20Advances%2C%20and%20Future%20Perspectives.pdf?sequence=1&isAllowed=y

Govdeli, Y., Moheed Bin Muzaffar, S., Raj, R., Elhadidi, B. & Kayacan, E. (2019). Unsteady aerodynamic modeling and control of pusher and tilt-rotor quadplane configurations. Aerospace Science and Technology, 94, Artikel 105421. https://doi.org/10.1016/j.ast.2019.105421

Govdeli, Y., Bin Muzaffar, S. M., Raj, R., Elhadidi, B. & Kayacan, E. (2019). Learning Control of Tandem-Wing Tilt-Rotor UAV with Unsteady Aerodynamic Model. I 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 Artikel 8859023 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2019.8859023

Gokhale, R., Wan, Y., Mehndiratta, M. & Kayacan, E. (2018). Fixed-wing Vertical-takeoff-and-landing UAV with Additive Manufacturing: A dual-rotor Version. I Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (Bind 2018-May, s. 250-255) https://doi.org/10.25341/D4Z30H

Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R. & Garibaldi, J. M. (2018). Input Uncertainty Sensitivity Enhanced Non-Singleton Fuzzy Logic Controllers for Long-Term Navigation of Quadrotor VTOL UAVs. IEEE - ASME Transactions on Mechatronics, 23(2), 725-734. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304792

Fu, C., Duan, R., Kircali, D. & Kayacan, E. (2016). Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model. Sensors, 16(9), Artikel 1406. https://doi.org/10.3390/s16091406

Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R. & Garibaldi, J. M. (2017). Similarity-based Non-Singleton Fuzzy Logic Control for Improved Uncertainty Handling in Quadrotor UAVs. I Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on (s. 1-6). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2017.8015440

Fu, C., Sarabakha, A. & Kayacan, E. (2016). A Comparative Study on the Control of Quadcopter UAVs by using Singleton and Non-Singleton Fuzzy Logic Controllers. I 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 (s. 1023-1030). Artikel 7737800 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2016.7737800

Fu, C., Duan, R. & Kayacan, E. (2019). Visual tracking with online structural similarity-based weighted multiple instance learning. Information Sciences, 481, 292-310. https://doi.org/10.1016/j.ins.2018.12.080

Figueiredo, R. P. D., Sejersen, J. L. F., Hansen, J. G., Brandão, M. & Kayacan, E. (2021). Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach. https://doi.org/10.48550/arXiv.2109.01474

Figueiredo, R. P. D., Hansen, J. G., Le Fevre Sejersen, J., Brandão, M. & Kayacan, E. (2021). On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation.

Eyoh, I., John, R., De Maere, G. & Kayacan, E. (2018). Hybrid Learning for Interval Type-2 Intuitionistic Fuzzy Logic Systems as applied to Identification and Prediction Problems, IEEE Transactions on Fuzzy Systems, 26(5), 2672-2685. https://doi.org/10.1109/TFUZZ.2018.2803751

Eren, U., Prach, A., Bahadir Kocer, B., Rakovic, S. V., Kayacan, E. & Acikmese, B. (2017). Model Predictive Control in Aerospace Systems: Current State and Opportunities. AIAA Journal of Guidance, Control and Dynamics, 40(7), 1541-1566. https://doi.org/10.2514/1.G002507

Duan, R., Fu, C. & Kayacan, E. (2017). Tracking-Recommendation-Detection. Engineering Applications of Artificial Intelligence, 64, 128-139. https://doi.org/10.1016/j.engappai.2017.05.012

Duan, R., Fu, C. & Kayacan, E. (2017). Tracking-Recommendation-Detection. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=L3XjGvsy4BA

Duan, R., Fu, C. & Kayacan, E. (2016). Recoverable Recommended Keypoint-aware Visual Tracking Using Coupled-layer Appearance Modelling. I IROS 2016 - 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (s. 4085-4091). Artikel 7759601 IEEE. https://doi.org/10.1109/IROS.2016.7759601

Duan, R., Fu, C., Kayacan, E. & Pani Paudel, D. (2016). Recommended Keypoint-Aware Tracker: Adaptive Real-time Visual Tracking Using Consensus Feature Prior Ranking. I 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (s. 449-453). Artikel 7532397 IEEE. https://doi.org/10.1109/ICIP.2016.7532397

Dong, Y., Camci, E. & Kayacan, E. (2018). Faster RRT-based Nonholonomic Path Planning in 2D Building Environments Using Skeleton-constrained Path Biasing. Journal of Intelligent and Robotic Systems, 89(3-4), 387-401. https://doi.org/10.1007/s10846-017-0567-9

Dong, Y., Fu, C. & Kayacan, E. (2016). RRT-based 3D Path Planning for Formation Landing of Quadrotor. I 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 (s. 1-6). Artikel 7838567 IEEE . https://doi.org/10.1109/ICARCV.2016.7838567

D. Nona, K., Lenaerts, B., Kayacan, E. & Saeys, W. (2014). Bulk compression characteristics of straw and hay. Biosystems Engineering, 118, 194-202. https://doi.org/10.1016/j.biosystemseng.2013.12.005

D. Nona, K., Kayacan, E. & Saeys, W. (2013). Compression Modeling in the Large Square Baler. I 71st International Conference on Agricultural Engineering 2013 (s. 1-6) https://lirias.kuleuven.be/bitstream/123456789/424705/2/AgEng2013_CompressionModeling.pdf

Cowan, B., Fu, C., Imanberdiyev, N., Dong, Y. & Kayacan, E. (2018). A Performance Evaluation of Methods for Visual Tracking. I The 14th International Conference on Control, Automation, Robotics and Vision (s. 1-6). IEEE.

Cisel Aras, A., Kayacan, E., Oniz, Y., Kaynak, O. & H. Abiyev, R. (2010). An Adaptive Neuro-Fuzzy Architecture for Intelligent Control of a Servo System and its Experimental Evaluation. I Industrial Electronics (ISIE), 2010 IEEE International Symposium on (s. 68-73). IEEE . https://doi.org/10.1109/ISIE.2010.5637706

Cigdem, O., Kayacan, E. & Kaynak, O. (2011). Experimental Study of an Interval Type-2 Fuzzy Neural Network Using Sliding-Mode Online Learning Algorithm. I Control Conference (ASCC), 2011 8th Asian (s. 1181-1186). IEEE. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5899240

Cigdem, O., Kayacan, E., Ahmadieh Khanesar, M., Kaynak, O. & Teshnelab, M. (2011). A Novel Training Method Based-on Variable Structure Systems Theory for Fuzzy Neural Networks. I Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on (s. 44-51). IEEE . https://doi.org/10.1109/CICA.2011.5945757

Chen, I.-M., Asadi, E., Nie, J., Yan, R.-J., Chuan Law, W., Kayacan, E., Huat Yeo, S., Huat Low, K., Seet, G. & Tiong, R. (2016). Innovations in Infrastructure Service Robots. I V. Parenti-Castelli & W. Schiehlen (red.), CISM International Centre for Mechanical Sciences, Courses and Lectures: Proceedings of the 21st CISM-IFToMM Symposium (s. 3-16). Springer. https://doi.org/10.1007/978-3-319-33714-2_1

Camci, E., Raju Kripalani, D., Ma, L., Kayacan, E. & Ahmadieh Khanesar, M. (2018). An Aerial Robot for Rice Farm Quality Inspection With Type-2 Fuzzy Neural Networks Tuned by Particle Swarm Optimization-Sliding Mode Control Hybrid Algorithm. Swarm and Evolutionary Computation, 41, 1-8. https://doi.org/10.1016/j.swevo.2017.10.003

Camci, E. & Kayacan, E. (2016). Y6 Waitress Quadcopter Explores How To Serve Drinks By Reinforcement Learning. I 2016 IEEE Region 10 Conference (TENCON) (s. 28-32)

Camci, E. & Kayacan, E. (2016). Game of Drones: UAV Pursuit-Evasion Game with Type-2 Fuzzy Logic Controllers tuned by Reinforcement Learning. I 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 (s. 618-625). Artikel 7737744 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2016.7737744

Camci, E. & Kayacan, E. (2019). Learning motion primitives for planning swift maneuvers of quadrotor. Autonomous Robots, 43(7), 1733-1745. https://doi.org/10.1007/s10514-019-09831-w

Camci, E. & Kayacan, E. (2019). Planning swift maneuvers of quadcopter using motion primitives explored by reinforcement learning. I Proceedings of the American Control Conference: 2019 American Control Conference, ACC 2019 (s. 279-285). Artikel 8815352 IEEE.

Camci, E., Campolo, D. & Kayacan, E. (2020). Deep Reinforcement Learning for Motion Planning of Quadrotors Using Raw Depth Images. I 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings Artikel 9207490 IEEE. https://doi.org/10.1109/IJCNN48605.2020.9207490

Bozcan, I. & Kayacan, E. (2020). AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance. I 2020 IEEE International Conference on Robotics and Automation (ICRA) (s. 8504-8510). IEEE. https://doi.org/10.1109/ICRA40945.2020.9196845

Bozcan, I. & Kayacan, E. (2020). UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance. I 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (s. 1158-1164). Artikel 9341790 IEEE. https://doi.org/10.1109/IROS45743.2020.9341790

Bozcan, I., Sejersen, J. L. F., Pham, X. H. & Kayacan, E. (2021). GridNet: Image-Agnostic Conditional Anomaly Detection for Indoor Surveillance. IEEE Robotics and Automation Letters, 6(2), 1638 - 1645. Artikel 9345954. https://doi.org/10.1109/LRA.2021.3057003

Bozcan, I. & Kayacan, E. (Accepteret/In press). Context-Dependent Anomaly Detection for Low Altitude Traffic Surveillance. I 2021 IEEE International Conference on Robotics and Automation

Bozcan, I., Korndörfer, C., Madsen, M. W. & Kayacan, E. (2021). Score-based Anomaly Detection for Smart Manufacturing Systems. Manuskript afsendt til publicering.

Bozcan, I. & Kayacan, E. (2020). Contextual Anomaly Detection for Low Altitude Aerial Surveillance.

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Revideret 19.03.2024

Andriy Sarabakha