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Computer Simulation

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Fixed-time synchronization of complex-valued neural networks for image protection and 3D point cloud information protection.

Neural networks : the official journal of the International Neural Network Society
This paper studies the fixed-time synchronization (FDTS) of complex-valued neural networks (CVNNs) based on quantized intermittent control (QIC) and applies it to image protection and 3D point cloud information protection. A new controller was design...

Novel criteria of sampled-data synchronization controller design for gated recurrent unit neural networks under mismatched parameters.

Neural networks : the official journal of the International Neural Network Society
Synchronization between neural networks (NNs) has been intensively investigated to analyze stability, convergence properties, neuronal behaviors and response to various inputs. However, synchronization techniques of NNs with gated recurrent units (GR...

A cellular automata model coupled with partitioning CNN-LSTM and PLUS models for urban land change simulation.

Journal of environmental management
Urbanisation is a key aspect of land use change (LUC), and accurately modelling of urban LUC is crucial for sustainable development. Cellular automata (CA) are widely used in LUC research. However, previous studies have overlooked the significant tem...

Modular hierarchical reinforcement learning for multi-destination navigation in hybrid crowds.

Neural networks : the official journal of the International Neural Network Society
Real-world robot applications usually require navigating agents to face multiple destinations. Besides, the real-world crowded environments usually contain dynamic and static crowds that implicitly interact with each other during navigation. To addre...

Structure-based approaches against COVID-19.

Journal of the Chinese Medical Association : JCMA
The coronavirus disease 2019 (COVID-19) pandemic has had a major impact on human life. This review highlights the versatile roles of both classical and modern structure-based approaches for COVID-19. X-ray crystallography, nuclear magnetic resonance ...

Intelligent selection of healthcare supply chain mode - an applied research based on artificial intelligence.

Frontiers in public health
INTRODUCTION: Due to the inefficiency and high cost of the current healthcare supply chain mode, in order to adapt to the great changes in the global economy and public health, it is urgent to choose an effective mode for sustainable development of h...

Enhancing interpretability and generalizability of deep learning-based emulator in three-dimensional lake hydrodynamics using Koopman operator and transfer learning: Demonstrated on the example of lake Zurich.

Water research
Three-dimensional lake hydrodynamic model is a powerful tool widely used to assess hydrological condition changes of lake. However, its computational cost becomes problematic when forecasting the state of large lakes or using high-resolution simulati...

A new method for clustered survival data: Estimation of treatment effect heterogeneity and variable selection.

Biometrical journal. Biometrische Zeitschrift
We recently developed a new method random-intercept accelerated failure time model with Bayesian additive regression trees (riAFT-BART) to draw causal inferences about population treatment effect on patient survival from clustered and censored surviv...

A collective neurodynamic penalty approach to nonconvex distributed constrained optimization.

Neural networks : the official journal of the International Neural Network Society
A nonconvex distributed optimization problem involving nonconvex objective functions and inequality constraints within an undirected multi-agent network is considered. Each agent communicates with its neighbors while only obtaining its individual loc...

Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach.

Neural networks : the official journal of the International Neural Network Society
The 6-Degree-of-Freedom (6-DoF) robotic grasping is a fundamental task in robot manipulation, aimed at detecting graspable points and corresponding parameters in a 3D space, i.e affordance learning, and then a robot executes grasp actions with the de...