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Neural-fuzzy control of truck backer-upper system using a clustering method.

, and . Neurocomputing, 70 (4-6): 680-688 (2007)

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A Deep Learning based Approach to Automated Android App Testing., , , and . CoRR, (2019)Why Are They Collecting My Data?: Inferring the Purposes of Network Traffic in Mobile Apps., , , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2 (4): 173:1-173:27 (2018)An adaptive backstepping observer-controller design for manipulators cooperating flexible payload., , , and . FSKD, page 2343-2347. IEEE, (2012)Zero-sum game-based neuro-optimal control of modular robot manipulators with uncertain disturbance using critic only policy iteration., , , , and . Neurocomputing, (2021)Torque sensorless decentralized neuro-optimal control for modular and reconfigurable robots with uncertain environments., , , and . Neurocomputing, (2018)Zero-Shot Certified Defense against Adversarial Patches with Vision Transformers., and . CoRR, (2021)Generative Model for Models: Rapid DNN Customization for Diverse Tasks and Resource Constraints., , , , , , , and . CoRR, (2023)Empowering LLM to use Smartphone for Intelligent Task Automation., , , , , , , , , and . CoRR, (2023)ConvReLU++: Reference-based Lossless Acceleration of Conv-ReLU Operations on Mobile CPU., , , and . MobiSys, page 503-515. ACM, (2023)An adaptive fuzzy Smith control of time-varying processes with dominant and variable delay., , , and . ACC, page 220-224. IEEE, (2003)