Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization
Recent improvements in networking technologies have led to a significant shift towards
distributed cloud-based services. However, adequate management of computation …
distributed cloud-based services. However, adequate management of computation …
Cooperative defense of autonomous surface vessels with quantity disadvantage using behavior cloning and deep reinforcement learning
S Sun, T Li, X Chen, H Dong, X Wang - Applied Soft Computing, 2024 - Elsevier
Abstract Autonomous Surface Vessels (ASVs) excel at undertaking hazardous tasks,
garnering significant attention recently. Particularly, ASV cooperative defense is a crucial …
garnering significant attention recently. Particularly, ASV cooperative defense is a crucial …
Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification
In the realm of pulmonary medicine, prognostic assessment of Idiopathic Pulmonary Fibrosis
(IPF) poses a significant challenge, necessitating advancements in predictive analytics. This …
(IPF) poses a significant challenge, necessitating advancements in predictive analytics. This …
Design and application of multisroll conservative chaotic system with no-equilibrium, dynamics analysis, circuit implementation
J Zuo, J Zhang, X Wei, L Yang, N Cheng, J Lv - Chaos, Solitons & Fractals, 2024 - Elsevier
Compared to dissipative chaotic systems (DCS), conservative chaotic systems (CCS) have
the feature of zero-sum for the Lyapunov exponents, which holds unique research …
the feature of zero-sum for the Lyapunov exponents, which holds unique research …
Anti-disturbance state estimation for PDT-switched RDNNs utilizing time-sampling and space-splitting measurements
Anti-disturbance state estimation for reaction–diffusion neural networks (RDNNs) subject to
persistent dwell-time (PDT) switching constraints is investigated in this paper. First, PDT …
persistent dwell-time (PDT) switching constraints is investigated in this paper. First, PDT …
Quantized control for interconnected pde systems via mobile measurement and control strategies
This paper deals with the R ϵ-stabilization for interconnected partial differential equation
systems (IPDESs) by mobile measurement and control strategies. First, compared to the …
systems (IPDESs) by mobile measurement and control strategies. First, compared to the …
A Dual-Discriminator Conditional GAN for rapid compressive sensing of structural vibration data
Collecting vibration data from civil engineering and mechanical structures over extended
periods is crucial for structural health analysis. However, the vast amounts of data generated …
periods is crucial for structural health analysis. However, the vast amounts of data generated …
Adaptive micro partition and hierarchical merging for accurate mixed data clustering
Y Zhang, R Zou, Y Zhang, Y Zhang, Y Cheung… - Complex & Intelligent …, 2025 - Springer
Heterogeneous attribute data (also called mixed data), characterized by attributes with
numerical and categorical values, occur frequently across various scenarios. Since the …
numerical and categorical values, occur frequently across various scenarios. Since the …
Dual graph-regularized low-rank representation for hyperspectral image denoising
Hyperspectral images have a wide range of applications in many fields. However, when
hyperspectral images are captured by spectrometers, there is inevitably considerable noise …
hyperspectral images are captured by spectrometers, there is inevitably considerable noise …
Learning thermoacoustic interactions in combustors using a physics-informed neural network
Many gas turbine and rocket engines exhibit unwanted combustion instability at the
experimental testing phase. Instability leads to large amplitude pressure oscillations and …
experimental testing phase. Instability leads to large amplitude pressure oscillations and …