This paper proposes an innovative adaptive event-triggered control strategy for a class of state time-delays nonlinear multi-agent systems (MASs) with full state constraints. …
Multi-object tracking (MOT) is a pivotal research area in computer vision. Effectively tracking objects in scenarios with frequent occlusions and crowded scenes has become a key …
Accurate disparity estimation in diverse and complex scenes remains a significant challenge in stereo matching, requiring precise geometric perception and robust generalization. …
Deep operator networks (DeepONets), as a powerful tool to approximate nonlinear mappings between different function spaces, have gained significant attention recently for …
An adaptive tracking control scheme based on a multi-dimensional Taylor network(MTN) is proposed for nonlinear systems with multiple sensor faults and actuator saturation. This …
The rapid and stable monitoring of CO2 emissions from point sources in localized regions remains a key challenge in energy conservation and emission reduction efforts. To address …
This paper investigates the adaptive tracking control problem for nonlinear multi-agent systems operating under simultaneous input saturation and output performance constraints. To …
Sound event detection (SED) is a challenging task where ambient sound events are detected from a given audio signal, which includes categorizing the events and estimating their …
Ozone (O3) is a major atmospheric pollutant, and accurate prediction of its concentrations remains challenging due to its complex nonlinear relationships with precursor compounds. …
Three extreme cold events occurred in eastern Asia in January 2016, January 2021, and December 2023. As important factors in atmospheric circulation anomalies, the Blocking High …