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Can Isik
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2020 – today
- 2024
- [d3]Pallav Bera, Samita Pani, Can Isik, Ramesh Bansal:
Transients in transmission lines connected to Photovoltaic Farms (Dataset). IEEE DataPort, 2024 - 2023
- [c8]Rajesh Kumar
, Can Isik
Dictionary Attack on IMU-based Gait Authentication. AISec@CCS 2023: 115-126 - [i5]Rajesh Kumar, Can Isik, Chilukuri K. Mohan:
Dictionary Attack on IMU-based Gait Authentication. CoRR abs/2309.11766 (2023) - 2022
- [d2]Pallav Kumar Bera, Can Isik:
Data: Transients in Indirect Symmetrical Phase Shift Transformers. IEEE DataPort, 2022 - [d1]Pallav Kumar Bera
Transients and Faults in Power Transformers and Phase Angle Regulators (DATASET). IEEE DataPort, 2022 - 2021
- [j11]Pallav Kumar Bera
A Data Mining Based Protection and Classification of Transients for Two-Core Symmetric Phase Angle Regulators. IEEE Access 9: 72937-72948 (2021) - [j10]Pallav Kumar Bera
Discrimination of Internal Faults and Other Transients in an Interconnected System With Power Transformers and Phase Angle Regulators. IEEE Syst. J. 15(3): 3450-3461 (2021) - 2020
- [i4]Pallav Kumar Bera, Can Isik, Vajendra Kumar:
Discrimination of Internal Faults and Other Transients in an Interconnected System with Power Transformers and Phase Angle Regulators. CoRR abs/2004.06003 (2020) - [i3]Pallav Kumar Bera, Can Isik:
Intelligent Protection & Classification of Transients in Two-Core Symmetric Phase Angle Regulating Transformers. CoRR abs/2006.09865 (2020) - [i2]Rajesh Kumar, Can Isik, Vir V. Phoha:
Treadmill Assisted Gait Spoofing (TAGS): An Emerging Threat to wearable Sensor-based Gait Authentication. CoRR abs/2012.09950 (2020)
2010 – 2019
- 2018
- [c7]Pallav Kumar Bera
Identification of internal faults in indirect symmetrical phase shift transformers using ensemble learning. ISSPIT 2018: 1-6 - [i1]Pallav Kumar Bera, Rajesh Kumar, Can Isik:
Identification of Internal Faults in Indirect Symmetrical Phase Shift Transformers Using Ensemble Learning. CoRR abs/1811.04537 (2018)
2000 – 2009
- 2007
- [j9]Murat Hüsnü Sazli
Neural network implementation of the BCJR algorithm. Digit. Signal Process. 17(1): 353-359 (2007) - 2005
- [j8]Sanggil Kang, Can Isik:
Partially connected feedforward neural networks structured by input types. IEEE Trans. Neural Networks 16(1): 175-184 (2005) - 2003
- [c6]Can Isik, Sanggil Kang:
Partially Connected Neural Networks for Mapping Problems. ICEIS (2) 2003: 469-473
1990 – 1999
- 1997
- [j7]M. Kemal Ciliz, Can Isik:
On-line learning control of manipulators based on artificial neural network models. Robotica 15(3): 293-304 (1997) - 1993
- [j6]Dan Simon, Can Isik:
Suboptimal Robot Joint Interpolation Within User-Specified Knot Tolerances. J. Field Robotics 10(7): 889-911 (1993) - [c5]Can Isik, A. Mete Çakmakci:
Identification of a nonlinear multivariable dynamic process using feed-forward networks. ICNN 1993: 564-567 - 1992
- [c4]M. Kemal Ciliz, Can Isik:
Stability and convergence of neurologic model based robotic controllers. ICRA 1992: 2051-2056 - 1991
- [j5]Dan Simon, Can Isik:
Optimal trigonometric robot joint trajectories. Robotica 9(4): 379-386 (1991)
1980 – 1989
- 1989
- [j4]M. Kemal Ciliz, Can Isik:
Fuzzy rule-based motion controller for an autonomous mobile robot. Robotica 7(1): 37-42 (1989) - [c3]Jian Fei, Can Isik:
Adapting to environmental variations in a rule-based mobile robot controller. SMC 1989: 332-333 - 1988
- [j3]Can Isik:
Inference engines for fuzzy rule-based control. Int. J. Approx. Reason. 2(2): 102 (1988) - [j2]Can Isik:
Inference engines for fuzzy rule-based control. Int. J. Approx. Reason. 2(2): 177-187 (1988) - [j1]Can Isik, Alexander M. Meystel:
Pilot level of a hierarchical controller for an unmanned mobile robot. IEEE J. Robotics Autom. 4(3): 241-255 (1988) - 1986
- [c2]Can Isik, Alex Meystel:
Decision making at a level of a hierarchical control for unmanned robot. ICRA 1986: 1772-1778 - 1985
- [c1]E. Koch, C. Yeh, G. Hillel, Alex Meystel, Can Isik:
Simulation of path planning for a system with vision and map updating. ICRA 1985: 146-160
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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