Category: 7. Maths

This section presents the architectural framework and systematic integration methodology of Depth Point-Line Attentional Graph Neural Networks (DPLAGNNs) within SLAM systems, specifically targeting enhanced environmental perception in dynamic…

This study employed a quantitative research design to investigate the relationships between academic self-efficacy, peer support, learning approaches, and academic performance in physical education and sports teaching. We explored how these…

In this section, we present a detailed experimental comparison of kernel descent with \(L=1\) versus gradient descent, as well as kernel descent with \(L=2\) versus quantum analytic descent. As explained in Sect. 2.5, these pairings are chosen…

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   Spatial sparse reconstruction.

To obtain the target location information, we leverage the signal’s sparsity through…

Research goal

The research GraphFedAI provides a topology-aware, scalable, and privacy solution to identify DDoS attacks in IoT systems. The GraphFed AI integrates an FL model with a graph neural network to overcome difficulties while managing…

The developed approach to livestock waste management is based on the use of neural network models to analyze and predict waste volumes, assess the potential for their conversion into energy, and minimize environmental impact. This approach…

To verify the effectiveness of the improved Double DQN algorithm in UAV indoor autonomous obstacle avoidance, this paper constructs a high-resolution and high-performance simulation environment based on AirSim and UE4 (Unreal Engine 4). The…

Background

This section presents a brief overview of the nonlinear dynamics and the Koopman operator framework, which provides the foundation for our regulator design.

We begin with a representative formula for general nonlinear discrete systems:

In this section, ablation experiments are first conducted on the VOC-mini dataset to evaluate the impact of different components on the performance of the DMM model. Then, comparative experiments are carried out against several existing…

In this section, new stability conditions for the system (8) will be derived based on the Lyapunov stability theory and linear matrix inequality approach, where observer-based resilient event-triggered controllers gain matrices can be obtained….