| Autonomous ground vehicles Ü Özgüner, T Acarman, KA Redmill Artech House, 2011 | 218 | 2011 |
| Stability and performance improvement of extremum seeking control with sliding mode Y Pan, Ü Özgüner, T Acarman International Journal of Control 76 (9-10), 968-985, 2003 | 168 | 2003 |
| Deep learning for effective Android malware detection using API call graph embeddings A Pektaş, T Acarman Soft Computing 24, 1027-1043, 2020 | 138 | 2020 |
| Extremum-seeking control of ABS braking in road vehicles with lateral force improvement E Dinçmen, BA Güvenç, T Acarman IEEE Transactions on Control Systems Technology 22 (1), 230-237, 2012 | 117 | 2012 |
| Classification of malware families based on runtime behaviors A Pektaş, T Acarman Journal of information security and applications 37, 91-100, 2017 | 96 | 2017 |
| Coordination of steering and individual wheel braking actuated vehicle yaw stability control BA Guvenc, T Acarman, L Guvenc IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No. 03TH8683 …, 2003 | 93 | 2003 |
| Clustering formation for inter-vehicle communication O Kayis, T Acarman 2007 IEEE intelligent transportation systems conference, 636-641, 2007 | 89 | 2007 |
| Malware classification based on API calls and behaviour analysis A Pektaş, T Acarman IET Information Security 12 (2), 107-117, 2018 | 86 | 2018 |
| Tractor-trailer vehicle trajectory planning in narrow environments with a progressively constrained optimal control approach B Li, T Acarman, Y Zhang, L Zhang, C Yaman, Q Kong IEEE Transactions on Intelligent Vehicles 5 (3), 414-425, 2019 | 74 | 2019 |
| Nonlinear optimal integrated vehicle control using individual braking torque and steering angle with on-line control allocation by using state-dependent Riccati equation technique T Acarman Vehicle System Dynamics 47 (2), 155-177, 2009 | 74 | 2009 |
| Optimization-based trajectory planning for autonomous parking with irregularly placed obstacles: A lightweight iterative framework B Li, T Acarman, Y Zhang, Y Ouyang, C Yaman, Q Kong, X Zhong, X Peng IEEE Transactions on Intelligent Transportation Systems 23 (8), 11970-11981, 2021 | 73 | 2021 |
| Learning to detect Android malware via opcode sequences A Pektaş, T Acarman Neurocomputing 396, 599-608, 2020 | 73 | 2020 |
| Particle filter vehicle localization and map-matching using map topology AU Peker, O Tosun, T Acarman 2011 IEEE Intelligent Vehicles Symposium (IV), 248-253, 2011 | 72 | 2011 |
| Rollover prevention for heavy trucks using frequency shaped sliding mode control T Acarman, Ü Özgüner Vehicle system dynamics 44 (10), 737-762, 2006 | 70 | 2006 |
| Deep learning to detect botnet via network flow summaries A Pektaş, T Acarman Neural Computing and Applications 31 (11), 8021-8033, 2019 | 61 | 2019 |
| Pneumatic brake system modeling for systems analysis T Acarman, U Ozguner, C Hatipoglu, AM Igusky SAE Technical Paper, 2000 | 55 | 2000 |
| A deep learning method to detect network intrusion through flow‐based features A Pektaş, T Acarman International Journal of Network Management 29 (3), e2050, 2019 | 49 | 2019 |
| Modeling and control of a four wheel drive parallel hybrid electric vehicle A Boyali, M Demirci, T Acarman, L Guvenc, O Tur, H Uçarol, B Kiray, ... 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE …, 2006 | 49 | 2006 |
| Rollover prevention for heavy trucks using frequency shaped sliding mode control T Acarman, U Ozguner Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003 …, 2003 | 45 | 2003 |
| A robust nonlinear controller design for a pneumatic actuator T Acarman, C Hatipoglu, U Ozguner Proceedings of the 2001 American Control Conference.(Cat. No. 01CH37148) 6 …, 2001 | 45 | 2001 |
