6 accepted papers
To enhance the motion adaptability of wheel-legged robot in complex environments, a novel data-driven value iteration (VI) control algorithm based on adaptive dynamic programming (ADP) is proposed. A state-space system model of the wheel-legged robot is established, from which the algebraic Riccati
Multimodal sentiment analysis (MSA) is a research field that recognizes human sentiments by combining textual, visual, and audio modalities. The main challenge lies in integrating sentiment-related information from different modalities, which typically arises during the unimodal feature extraction p
Inverse kinematics (IK) is at the core of manipulator control theory, with its solution accuracy directly impacting the robot's performance in executing tasks. This is particularly true for complex offset wrist manipulators (OWM), where existing evolutionary computation methods often face limitation
In recent years, speech diffusion models have advanced rapidly. Alongside the widely used U-Net architecture, transformer-based models such as the Diffusion Transformer (DiT) have also gained attention. However, current DiT speech models treat Mel spectrograms as general images, which overlooks the…
Multimodal fake news detection is essential for maintaining the authenticity of Internet multimedia information. Significant differences in form and content of multimodal information lead to intensified optimization conflicts, hindering effective model training as well as reducing the effectiveness…
Speech synthesis technology has posed a serious threat to speaker verification systems. Currently, the most effective fake audio detection methods utilize pretrained models, and integrating features from various layers of pretrained model further enhances detection performance. However, most of the…