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Dive into the research topics where Ke Fang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A Digital Twin-Based Obstacle Avoidance System for Quadcopter UAV
Zhan, Z., Fang, K. & Huo, J., 2024, Methods and Applications for Modeling and Simulation of Complex Systems - 23rd Asia Simulation Conference, AsiaSim 2024, Proceedings. Saito, S., Tanaka, S., Li, L., Takatori, S. & Tamura, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 301-312 12 p. (Communications in Computer and Information Science; vol. 2170 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Model Validation Method Based on Convolutional Neural Network
Fang, K. & Huo, J., 2024, Methods and Applications for Modeling and Simulation of Complex Systems - 22nd Asia Simulation Conference, AsiaSim 2023, Proceedings. Hassan, F., Sunar, N., Mohd Basri, M. A., Mahmud, M. S. A., Ishak, M. H. I. & Mohamed Ali, M. S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 194-203 10 p. (Communications in Computer and Information Science; vol. 1911 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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UAV Control with Terminal Velocity Vector Constraints
Cui, J. & Fang, K., 2024, In: Journal of Physics: Conference Series. 2832, 1, 012011.Research output: Contribution to journal › Conference article › peer-review
Open Access -
An Adaptive Extended Kalman Filter for Attitude Estimation Using Low-Cost IMU from Motor Vibration Disturbance
Xu, Z., Tian, J., Chao, T., Yang, M. & Fang, K., 2023, Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. Yan, L., Duan, H., Deng, Y. & Yan, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3140-3148 9 p. (Lecture Notes in Electrical Engineering; vol. 845 LNEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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An inertia weight variable particle swarm optimization algorithm with mutation
Zhao, M., Ni, Y., Chao, T. & Fang, K., 2021, Sensor Networks and Signal Processing - Proceedings of the 2nd Sensor Networks and Signal Processing SNSP 2019. Peng, S.-L., Favorskaya, M. N. & Chao, H.-C. (eds.). Springer, p. 269-280 12 p. (Smart Innovation, Systems and Technologies; vol. 176).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review