Titlebook: Cognitive Systems and Information Processing; 8th International Co Fuchun Sun,Qinghu Meng,Bin Fang Conference proceedings 2024 The Editor(s

anachronistic

Pathogen

https://doi.org/10.1007/978-1-84628-710-7is still valuable. In this paper, we propose a new iris recognition network architecture named FCA-Net, which leverages the full coordinate attention mechanism. Specifically, the proposed architecture introduces an attention mechanism into the ResNet Block and uses global average pooling instead of

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Methods for Ontology Developmentonal reinforcement learning (RL) methods tend to pursue high rewards while ignoring behaviors that may lead to safety risks. To ensure the safety and efficiency of the industrial robot production process, we use the Lagrange Proximal Policy Optimization (L-PPO) algorithm to control the robotic arm.

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ellagic-acid

Methods for Ontology Development. Due to the complexity and variability of application scenarios, such as the objects are stacked, it is a great challenge to accurately select target objects and manipulation mode in the fields of security and demolition. To address these problems, robotic arm systems require capabilities in target

AUGUR

Mikhail Simonov,Flavia Mazzitelliilter backstepping control (CFBC) scheme, the computational complexity caused by repetitive derivation and the inverse effect of the filter error are effectively removed. Moreover, the neural networks (NNs) are employed to identify the nonlinear coupling terms in the controlled vehicle, and the pred

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壓倒性勝利

Physical Theories and Possible Worldsthe critical hand movements in daily life. Continuous decoding of grip force in grasp-lift tasks is significant in developing natural motor control BCIs. According to different grasping target objects, the hand takes different grip force levels in grasp-lift tasks. However, it remains unclear whethe

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